The path to our destination is not always a straight one. We go down the wrong road,

 we get lost, we turn back. Maybe it doesn't matter which road we embark on.

Maybe what matters is that we embark” (Barbara Hall)

  1. Takao Hiroyuki, Yeh Yu Chih, Arita Hiroyuki, et al.: Primary Salvage Survey of the Interference of Radiowaves Emitted by Smartphones on Medical Equipment. Health Physics, Vol. 111, no. 4, 2016, pp. 381 – 392. DOI 10.1097/HP.0000000000000535

  2. Mariappan Periyasamy M., Raghavan Dhanasekaran R., Aleem Shady H.E.A., et al.: Effects of electromagnetic interference on the functional usage of medical equipment by 2G/3G/4G cellular phones: A review. J. of Advanced Research, Vol. 7, no. 5, 2016, pp. 727 – 738. DOI 10.1016/j.jare.2016.04.004

  3. Sidhu Preena, Shankargouda Swapnil, Dicksit Daniel DevaPrakash, et al.: Evaluation of Interference of Cellular Phones on Electronic Apex Locators: An In Vitro Study. J. of Endodontics, Vol. 42, no. 4, 2016, pp. 622 – 625. DOI 10.1016/j.joen.2015.12.027

  4. Ishida Kai, Fujioka Tomomi, Endo Tetsuo, et al.: Evaluation of Electromagnetic Fields in a Hospital for Safe Use of Electronic Medical Equipment. J. of Medical Systems, Vol. 40, no. 3, 2016, Article # 46. DOI 10.1007/s10916-015-0411-3

  5. Yuan Zou, Viswam Nathan, Roozbeh Jafari: Automatic Identification of Artifact-related Independent Components for Artifact Removal in EEG Recordings. IEEE Journal of Biomedical and Health Informatics (J-BHI), Vol. 20, no. 1, 2016, pp. 73 – 81. DOI 10.1109/JBHI.2014.2370646

  6. Viswam Nathan, Roozbeh Jafari: Design Principles and Dynamic Front End Reconfiguration for Low Noise EEG Acquisition with Finger Based Dry Electrodes. IEEE Transactions on Biomedical Circuits and Systems T-BioCAS), Vol. 9, no. 5, 2015, pp. 631 – 640. DOI 10.1109/TBCAS.2015.2471080

  7. Maebatake Akira, Akamatsu Go, Miwa Kenta, et al.: Relationship between the image quality and noise-equivalent count in time-of-flight positron emission tomography. Annals of Nuclear Medicine, Vol. 30, no. 1, 2016, pp. 68 – 74. DOI 10.1007/s12149-015-1032-0

  8. Kelly J.W., Siewiorek D.P., Smailagic A., Wang W.: An Adaptive Filter for the Removal of Drifting Sinusoidal Noise Without a Reference. IEEE Journal of Biomedical and Health Informatics, Vol. 20, no. 1, 2016, pp. 213 – 221. DOI 10.1109/JBHI.2014.2375318

  9. Yamada Isao: Stochastic model for quantum noise analysis in flat-panel detectors for medical imaging applications. J. of the Optical Society of America A - Optics Image Science & Vision, Vol. 33, no. 12, 2016, pp. 2443 – 2449. DOI 10.1364/JOSAA.33.002443

  10. Nakaya Ryo, Ando Hidenawo, Anzai Daisuke, et al.: Statistical Measurement of Electromagnetic Noise Characteristics of ESD in Wireless Frequency Bands and Influence Evaluation on Communication Performance. IEICE Trans on Communications, Vol. E99B, no. 11, 2016, pp. 2399 – 2405. DOI 10.1587/transcom.2015EBP3527

  11. Erickson J.C., Putney J., Hilbert D., et al.: Iterative Covariance-Based Removal of Time-Synchronous Artifacts: Application to Gastrointestinal Electrical Recordings. IEEE Trans on Biomedical Eng., Vol. 63, no. 11, 2016, pp. 2262 – 2272. DOI 10.1109/TBME.2016.2521764

  12. Lee D., Kim Y.-s., Choi S., et al.: Improvement of material decomposition and image quality in dual-energy radiography by reducing image noise. J. of Instrumentation, Vol. 11, 2016, Article # T08003. DOI 10.1088/1748-0221/11/08/T08003

  13. Bhargava Shruti, Somkuwar Ajay: Estimation of Noise Removal Techniques in Medical Imaging Data-A Review. J. of Medical Imaging and Health Informatics, Vol. 6, no. 4, 2016, pp. 875 – 884. DOI 10.1166/jmihi.2016.1797

  14. Lutman M.E., Coles R.R.A., Buffin J.T.: Guidelines for quantification of noise-induced hearing loss in a medicolegal context. Clinical Otolaryngology, Vol. 41, no. 4, 2016, pp. 347 – 357. DOI 10.1111/coa.12569

  15. Rocek A., Slavicek K., Dostal O., et al.: A new approach to fully-reversible watermarking in medical imaging with breakthrough visibility parameters. Biomedical Signal Processing and Control, Vol. 29, 2016, pp. 44 – 52. DOI 10.1016/j.bspc.2016.05.005

  16. Dumont D.M., Walsh K.M., Byram B.C.: Improving Displacement Signal-to-Noise Ratio for Low-Signal Radiation Force Elasticity Imaging Using Bayesian Techniques. Ultrasound in Medicine and Biology, Vol. 42, no. 8, 2016, pp. 1986 – 1997. DOI 10.1016/j.ultrasmedbio.2016.03.004

  17. Zhu Zack, Satizabal H.F., Blanke U., et al.: Naturalistic Recognition of Activities and Mood Using Wearable Electronics. IEEE Trans on Affective Computing, Vol. 7, no. 3, 2016, pp. 272 – 285. DOI 10.1109/TAFFC.2015.2491927

  18. Das Devarshi Mrinal, Srivastava Abhishek, Ananthapadmanabhan J., et al.: A novel low-noise fully differential CMOS instrumentation amplifier with 1.88 noise efficiency factor for biomedical and sensor applications. Microelectronics J., Vol. 53, 2016, pp. 35 – 44. DOI 10.1016/j.mejo.2016.04:008

  19. Kishore P.V.V., Sastry A.S.C.S., Rahman Md. Zia Ur: Double Technique for Improving Ultrasound Medical Images. J. of Medical Imaging and Health Informatics, Vol. 6, no. 3, 2016, pp. 667 – 675. DOI 10.1166/jmihi.2016.1743

  20. Nguyen Tuan-Anh, Nakib Amir, Nguyen Huy-Nam: Medical image denoising via optimal implementation of non-local means on hybrid parallel architecture. Computer Methods and Programs in Biomedicine, Vol. 129, 2016, pp. 29 – 39. DOI 10.1016/j.cmpb.2016.02.002

  21. Al-Frejat Mu'taz, Btoush Mohammad Hjouj: A New Approach for Enhancing the Quality of Medical Computerized Tomography Images. Int. J. of Advanced Computer Science & Applications, Vol. 7, no. 5, 2016, pp. 476 – 483. DOI 10.14569/IJACSA.2016.070564

  22. Zhou Xin, Wang Pei, Ju Yingyun, et al.: A New Active Contour Model Based on Distance-Weighted Potential Field. Circuits Systems & Signal Processing, Vol. 35, no. 5, 2016, pp. 1729 – 1750. DOI 10.1007/s00034-015-0143-0

  23. Gao Yue Ming, Ye Yan Ting, Vai Mang I., et al.: Channel modeling and power consumption analysis for galvanic coupling intra-body communication. EURASIP Journal on Wireless Communications & Networking, 2016, Article # 106. DOI 10.1186/s13638-016-0604-6

  24. Cheng Jie-Zhi, Ni Dong, Chou Yi-Hong, et al.: Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans. Scientific Reports, Vol. 6, 2016, Article # 24454. DOI 10.1038/srep24454

  25. Dey Nilanjan, Bose Soumyo, Das Achintya, et al.: Effect of Watermarking on Diagnostic Preservation of Atherosclerotic Ultrasound Video in Stroke Telemedicine. J. of Medical Systems, Vol. 40, no. 4, 2016, Article # 91. DOI 10.1007/s10916-016-0451-3

  26. Kittisuwan Pichid: Medical image denoising using simple form of MMSE estimation in Poisson-Gaussian noise model. Int. J. of Biomathematics, Vol. 9, no. 2, 2016, Article # 1650020. DOI 10.1142/S1793524516500200

  27. Rampazzi S., Danese G., Leporati F., et al.: A Localized Surface Plasmon Resonance-Based Portable Instrument for Quick On-Site Biomolecular Detection. IEEE Trans on Instr. & Meas., Vol. 65, no. 2, 2016, pp. 317 – 327. DOI 10.1109/TIM.2015.2465691

  28. Gromann L.B., Beque D., Scherer K., et al.: Low-dose, phase-contrast mammography with high signal-to-noise ratio. Biomedical Optics Express, Vol. 7, no. 2, 2016, pp. 381 – 391. DOI 10.1364/BOE.7.000381

  29. Feng Wensen, Qiao Hong, Chen Yunjin: Poisson Noise Reduction with Higher-Order Natural Image Prior Model. SIAM Journal on Imaging Sciences, Vol. 9, no. 3, 2016, pp. 1502 – 1524. DOI 10.1137/16M1072930

  30. Abhinav G. A., Saseendran S., et al.: Design and Development of an Innovative Biomedical Engineering Application Toolkit (BEAT (R)) for m-Health Applications. Advances in Signal Processing and Intelligent Recognition Systems (SIRS), Book Series: Advances in Intelligent Systems and Computing, Vol. 425, 2016, pp. 299 – 308, Springer-Verlag Berlin. DOI 10.1007/978-3-319-28658-7_26

  31. Pandey Madhulika Bhati, Madhulika Bansa, Abhay: An Anatomization of Noise removal techniques on Medical Images. 1st Int. Conf on Innovation and Challenges in Cyber Security (ICICCS), 2016, pp. 225 – 230.

  32. Amini Zahra, Rabbani Hossein: Classification of Medical Image Modeling Methods: A Review. Current Medical Imaging Reviews, Vol. 12, no. 2, 2016, pp. 130 – 148. DOI 10.2174/1573394711666150827203543

  33. Lee D., Kim Y.-s., Choi S., et al.: A feasibility study for anatomical noise reduction in dual-energy chest digital tomosynthesis. J. of Instrumentation, Vol. 11, 2016, Article # P01016. DOI 10.1088/1748-0221/11/01/P01016

  34. Assecondi S., Lavallee C., Ferrari P., et al.: Length matters: Improved high field EEG-fMRI recordings using shorter EEG cables. J. of Neuroscience Methods, Vol. 269, 2016, pp. 74 – 87. DOI 10.1016/j.jneumeth.2016.05.014

  35. Valente W., Jr., Raizer A., Pichon L.: The Use of Equivalent Model and Numerical Simulation for EMC Analysis in Hospital Environments. IEEE Trans on EMC, Vol. 58, Part: 1, no. 4, 2016, pp. 950 – 955. DOI 10.1109/TEMC.2016.2552170

  36. Liu Thomas T.: Noise contributions to the fMRI signal: An overview. Neuroimage, Vol. 143, 2016, pp. 141 – 151. DOI 10.1016/j.neuroimage.2016.09.008

  37. Triantafyllou C., Polimeni J.R., Keil B., et al.: Coil-to-Coil Physiological Noise Correlations and Their Impact on Functional MRI Time-Series Signal-to-Noise Ratio. Magnetic Resonance in Medicine, Vol. 76, no. 6, 2016, pp. 1708 – 1719. DOI 10.1002/mrm.26041

  38. Sahib Ashish Kaul, Mathiak K., Erb M., et al.: Effect of Temporal Resolution and Serial Autocorrelations in Event-Related Functional MRI. Magnetic Resonance in Medicine, Vol. 76, no. 6, 2016, pp. 1805 – 1813. DOI 10.1002/mrm.26073

  39. Veraart J., Novikov D.S., Christiaens D., et al.: Denoising of diffusion MRI using random matrix theory. Neuroimage, Vol. 142, 2016, pp. 384 – 396. DOI 10.1016/j.neuroimage.2016.08.016

  40. Veraart J., Fieremans E., Novikov D.S.: Diffusion MRI Noise Mapping Using Random Matrix Theory. Magnetic Resonance in Medicine, Vol. 76, no. 5, 2016, pp. 1582 – 1593. DOI 10.1002/mrm.26059

  41. Gonzalez-Castillo J., Panwar Puja, Buchanan L.C., et al.: Evaluation of multi-echo ICA denoising for task based fMRI studies: Block designs, rapid event-related designs, and cardiac-gated fMRI. Neuroimage, Vol. 141, 2016, pp. 452 – 468. DOI 10.1016/j.neuroimage.2016.07.049

  42. Heydari M., Karami M.-R., Babakhani A.: A new adaptive coupled diffusion PDE for MRI Rician noise. Signal Image & Video Processing, Vol. 10, no. 7, 2016, pp. 1211 – 1218. DOI 10.1007/s11760-016-0878-5

  43. Hu Jinrong, Zhou Jiliu, Wu Xi: Non-local MRI denoising using random sampling. Magnetic Resonance Imaging, Vol. 34, no. 7, 2016, pp. 990 – 999. DOI 10.1016/j.mri.2016.04.008

  44. Jann Kay, Smith R.X., Piedra E.A.R., et al.: Noise Reduction in Arterial Spin Labeling Based Functional Connectivity Using Nuisance Variables. Frontiers in Neuroscience, Vol. 10, 2016, Article # 371. DOI 10.3389/fnins.2016.00371

  45. Lucano E., Liberti M., Mendoza G.G., et al.: Assessing the Electromagnetic Fields Generated By a Radiofrequency MRI Body Coil at 64 MHz: Defeaturing Versus Accuracy. IEEE Trans on Biomedical Eng., Vol. 63, no. 8, 2016, pp. 1591 – 1601. DOI 10.1109/TBME.2015.2506680

  46. Layton K.J., Kroboth S., Jia Feng, et al.: Trajectory Optimization Based on the Signal-to-Noise Ratio for Spatial Encoding with Nonlinear Encoding Fields. Magnetic Resonance in Medicine, Vol. 76, no. 1, 2016, pp. 104 – 117. DOI 10.1002/mrm.25859

  47. Alberdi Ane, Aztiria A., Basarab Adrian: On the early diagnosis of Alzheimer's Disease from multimodal signals: A survey. Artificial Intelligence in Medicine, Vol. 71, 2016, pp. 1 – 29. DOI 10.1016/j.artmed.2016.06.003

  48. Konishi Yuto, Kanazawa Yuki, Usuda Takatoshi, et al.: Simple noise reduction for diffusion weighted images. Radiological Physics and Technology, Vol. 9, no. 2, 2016, pp. 221 – 226. DOI 10.1007/s12194-016-0350-9

  49. Sudeep P.V., Palanisamy P., Rajan J., et al.: Speckle reduction in medical ultrasound images using an unbiased non-local means method. Biomedical Signal Processing and Control, Vol. 28, 2016, pp. 1 – 8. DOI 10.1016/j.bspc.2016.03.001

  50. Kobald S.O., Getzmann S., Beste C., et al.: The impact of simulated MRI scanner background noise on visual attention processes as measured by the EEG. Scientific Reports, Vol. 6, 2016, Article # 28371. DOI 10.1038/srep28371

  51. Talagala S.L., Sarlls J.E., Liu Siyuan, et al.: Improvement of Temporal Signal-to-Noise Ratio of GRAPPA Accelerated Echo Planar Imaging Using a FLASH Based Calibration Scan. Magnetic Resonance in Medicine, Vol. 75, no. 6, 2016, pp. 2362 – 2371. DOI 10.1002/mrm.25846

  52. Campbell-Washburn A.E., Atkinson D., Nagy Z., et al.: Using the Robust Principal Component Analysis Algorithm to Remove RF Spike Artifacts from MR Images. Magnetic Resonance in Medicine, Vol. 75, no. 6, 2016, pp. 2517 – 2525. DOI 10.1002/mrm.25851

  53. Marchitelli R., Minati L., Marizzoni M., et al.: Test-Retest Reliability of the Default Mode Network in a Multi-Centric fMRI Study of Healthy Elderly: Effects of Data-Driven Physiological Noise Correction Techniques. Human Brain Mapping, Vol. 37, no. 6, 2016, pp. 2114 – 2132. DOI 10.1002/hbm.23157

  54. Sotelo J., Urbina J., Valverde I., et al.: 3D Quantification of Wall Shear Stress and Oscillatory Shear Index Using a Finite-Element Method in 3D CINE PC-MRI Data of the Thoracic Aorta. IEEE Trans on Medical Imaging, Vol. 35, no. 6, 2016, pp. 1475 – 1487. DOI 10.1109/TMI.2016.2517406

  55. Fritz J., Raithel E., Thawait G.K., et al.: Six-Fold Acceleration of High-Spatial Resolution 3D SPACE MRI of the Knee Through Incoherent k-Space Undersampling and Iterative ReconstructionFirst Experience. Investigative Radiology, Vol. 51, no. 6, 2016, pp. 400 – 409. DOI 10.1097/RLI.0000000000000240

  56. Wu Xi, Yang Zhipeng, Peng Jing, et al.: Global denoising for 3D MRI. Biomedical Engineering OnLine, Vol. 15, 2016, Article # 54. DOI 10.1186/s12938-016-0168-z

  57. Scott A.D., Nielles-Vallespin S., Ferreira P.F., et al.: The effects of noise in cardiac diffusion tensor imaging and the benefits of averaging complex data. NMR in Biomedicine, Vol. 29, no. 5, 2016, pp. 588 – 599. DOI 10.1002/nbm.3500

  58. Feng Chaolu, Zhao Dazhe, Huang Min: Image segmentation using CUDA accelerated non-local means denoising and bias correction embedded fuzzy c-means (BCEFCM). Signal Processing, Vol. 122, 2016, pp. 164 – 189. DOI 10.1016/j.sigpro.2015.12.007

  59. Yan Xinqiang, Cao Zhipeng, Zhang Xiaoliang: Simulation Verification of SNR and Parallel Imaging Improvements by ICE-Decoupled Loop Array in MRI. Applied Magnetic Resonance, Vol. 47, no. 4, 2016, pp. 395 – 403. DOI 10.1007/s00723-016-0764-x

  60. Tariyal Snigdha, Aggarwal H.K., Majumdar Angshul: Removing sparse noise from hyperspectral images with sparse and low-rank penalties. J. of Electronic Imaging, Vol. 25, no. 2, 2016, Article # 020501. DOI 10.1117/1.JEI.25.2.020501

  61. Kwon Kinam, Kim Dongchan, Park HyunWook: Multi-contrast MR image denoising for parallel imaging using multilayer perceptron. Int. J. of Imaging Systems & Technology, Vol. 26, no. 1, 2016, pp. 65 – 75. DOI 10.1002/ima.22158

  62. Dai Weiying, Varma Gopal, Scheidegger R., et al.: Quantifying fluctuations of resting state networks using arterial spin labeling perfusion MRI. J. of Cerebral Blood Flow and Metabolism, Vol. 36, no. 3, 2016, pp. 463 – 473. DOI 10.1177/0271678X15615339

  63. Broadbent D.A., Biglands J.D., Ripley D.P., et al.: Sensitivity of quantitative myocardial dynamic contrast-enhanced MRI to saturation pulse efficiency, noise and t(1) measurement error: Comparison of nonlinearity correction methods. Magnetic Resonance in Medicine, Vol. 75, no. 3, 2016, pp. 1290 – 1300. DOI 10.1002/mrm.25726

  64. Stemkens B., Sbrizzi A., Andreychenko A.A., et al.: An optimization framework to maximize signal-to-noise ratio in simultaneous multi-slice body imaging. NMR in Biomedicine, Vol. 29, no. 3, 2016, pp. 275 – 283. DOI 10.1002/nbm.3457

  65. Hartwig V., Vivoli G., Tassano S., et al.: Decoupling and shielding numerical optimization of MRI phased-array coils. Measurement, Vol. 82, 2016, pp. 450 – 460. DOI 10.1016/j.measurement.2016.01.021

  66. Taylor M.A., Bowen W.P.: Quantum metrology and its application in biology. Physics Reports - Review Section of Physics Lett., Vol. 615, 2016, pp. 1 – 59. DOI 10.1016/j.physrep.2015.12.002

  67. Chen Geng, Zhang Pei, Wu Yafeng, et al.: Denoising magnetic resonance images using collaborative non-local means. Neurocomputing, Vol. 177, 2016, pp. 215 – 227. DOI 10.1016/j.neucom.2015.11.031

  68. Hagiwara Akifumi, Hori Masaaki, Suzuki Michimasa, et al.: Contrast-enhanced synthetic MRI for the detection of brain metastases. Acta Radiologica Open, Vol. 5, 2016, no. 2. DOI 10.1177/2058460115626757

  69. De Santiago L., Ortiz del Castillo M., Blanco R., et al.: A signal-to-noise-ratio-based analysis of multifocal visual-evoked potentials in multiple sclerosis risk assessment. Clinical Neurophysiology, Vol. 127, no. 2, 2016, pp. 1574 – 1580. DOI 10.1016/j.clinph.2015.09.129

  70. Liu Jia, Gasbarra D., Railavo J.: Fast estimation of diffusion tensors under Rician noise by the EM algorithm. J. of Neuroscience Methods, Vol. 257, 2016, pp. 147 – 158. DOI 10.1016/j.jneumeth.2015.09.029

  71. Kousi E., Borri M., Dean J., et al.: Quality assurance in MRI breast screening: comparing signal-to-noise ratio in dynamic contrast-enhanced imaging protocols. Physics in Medicine and Biology, Vol. 61, no. 1, 2016, pp. 37 – 49. DOI 10.1088/0031-9155/61/1/37

  72. Seetha J., Raja S. Selvakumar: Denoising of MRI Images using Filtering Methods. Proc. of IEEE Int. Conf on Wireless Comm., Signal Processing & Networking (WISPNET), 2016, pp. 765 – 769.

  73. Kaur Hardeep, Rani Jyoti: MRI brain image enhancement using Histogram equalization Techniques. IEEE Int. Conf on Wireless Communications, Signal Processing & Networking (WiSPNET), 2016, pp. 770 – 773.

  74. Sowjanya V., Rao G. Sasibhushana, Sarvani A.: Investigation of Optimal Wavelet Techniques for De-noising of MRI Brain Abnormal Image. Int. Conf on Computational Modelling & Security (CMS), 2016, pp. 93 – 96. DOI 10.1016/j.procs.2016.05.252

  75. Pieciak T., Vegas-Sanchez-Ferrero G., Aja-Fernandez S.: Variance Stabilization of Noncentral-CHI Data: Application to Noise Estimation in MRI. IEEE Int. Symp on Biomedical Imaging (ISBI), 2016, pp. 1376 – 1379.

  76. Saini Ashwini Kumar, Bhadauria H.S., Singh A.: A Survey of noise removal methodologies for lung cancer diagnosis. Int. Conf on Computational Intelligence & Communication Technology (CICT), 2016, pp. 673 – 678. DOI 10.1109/CICT.2016.139

  77. Gao Dongrui, Li Mingzhe, Li Jianfu, et al.: Effects of various typical electrodes and electrode gels combinations on MRI signal-to-noise ratio and safety issues in EEG-fMRI recording. Biocybernetics & Biomedical Eng. (BBE), Vol. 36, no. 1, 2016, pp. 9 – 18. DOI 10.1016/j.bbe.2015.11.007

  78. Marquardt D., Hohmann V., Doclo S.: Interaural Coherence Preservation in Multi-Channel Wiener Filtering-Based Noise Reduction for Binaural Hearing Aids. IEEE/ACM Trans on Audio, Speech & Language Processing, Vol. 23, no. 12, 2015, pp. 2162 – 2176. DOI 10.1109/TASLP.2015.2471096

  79. Zele A.J., Feigl B., Kambhampati P.K., et al.: A method for estimating intrinsic noise in electroretinographic (ERG) signals. Documenta Ophthalmologica, Vol. 131, no. 2, 2015, pp. 85 – 94. DOI 10.1007/s10633-015-9510-1

  80. Tan Yang, Holleman J.: An Ultralow-Power Low-Noise CMOS Biopotential Amplifier for Neural Recording. IEEE Trans on CAS II : Express Briefs, Vol. 62, no. 10, 2015, pp. 927 – 931. DOI 10.1109/TCSII.2015.2457811

  81. Chandrakumar H., Markovic D.: A Simple Area-Efficient Ripple-Rejection Technique for Chopped Biosignal Amplifiers. IEEE Trans on CAS II : Express Briefs, Vol. 62, no. 2, 2015, pp. 189-193. DOI 10.1109/TCSII.2014.2387686

  82. Shi Feng, Rui Qiang, Kainz W., Ji Chen: A Technique to Evaluate MRI-Induced Electric Fields at the Ends of Practical Implanted Lead. IEEE Trans on MTT, Vol. 63, no. 1, 2015, pp. 305 – 313. DOI 10.1109/TMTT.2014.2376523

  83. Dawei Li, Jianfeng Zheng, Yan Liu, Changwang Pan, Kainz, W., Fan Yang, Wen Wu, Ji Chen: An Efficient Approach to Estimate MRI RF Field Induced In Vivo Heating for Small Medical Implants. IEEE Trans on EMC, Vol. 57, no. 4, 2015, pp. 643 – 650. DOI 10.1109/TEMC.2015.2435519

  84. Abdel-Hafez M., Husseini G.A.: Predicting the Release of Chemotherapeutics From the Core of Polymeric Micelles Using Ultrasound. IEEE Trans on NanoBioscience, Vol. 14, no. 4, 2015, pp. 378 – 384. DOI 10.1109/TNB.2015.2399100

  85. Katsigiannis S., Zacharia E., Maroulis D.: Grow-Cut Based Automatic cDNA Microarray Image Segmentation. IEEE Trans on NanoBioscience, Vol. 14, no. 1, 2015, pp. 138 – 145. DOI 10.1109/TNB.2014.2369961

  86. Botter A., Vieira T.M.: Filtered Virtual Reference: A New Method for the Reduction of Power Line Interference With Minimal Distortion of Monopolar Surface EMG. IEEE Trans on Biomedical Eng., Vol. 62, no. 11, 2015, pp. 2638 – 2647. DOI 10.1109/TBME.2015.2438335

  87. Amparo Callejon M., Reina-Tosina J., Naranjo-Hernandez D., Roa L.M.: Measurement Issues in Galvanic Intrabody Communication: Influence of Experimental Setup. IEEE Trans on Biomedical Eng., Vol. 62, no. 11, 2015, pp. 2724 – 2732. DOI 10.1109/TBME.2015.2444916

  88. Rebersek M., Marjanovic I., Begus S., Pillet F., Rols M.-P., Miklavcic D., Kotnik T.: Generator and Setup for Emulating Exposures of Biological Samples to Lightning Strokes. IEEE Trans on Biomedical Eng., Vol. 62, no. 10, 2015, pp. 2535 – 2543. DOI 10.1109/TBME.2015.2437359

  89. Emmanouilidou D., McCollum E.D., Park D.E., Elhilali M.: Adaptive Noise Suppression of Pediatric Lung Auscultations With Real Applications to Noisy Clinical Settings in Developing Countries. IEEE Trans on Biomedical Eng., Vol. 62, no. 9, 2015, pp. 2279 – 2288. DOI 10.1109/TBME.2015.2422698

  90. Bar-Zion A.D., Tremblay-Darveau C., Yin M., Adam D., Foster F.S.: Denoising of Contrast-Enhanced Ultrasound Cine Sequences Based on a Multiplicative Model. IEEE Trans on Biomedical Eng., Vol. 62, no. 8, 2015, pp. 1969 – 1980. DOI 10.1109/TBME.2015.2407835

  91. Craven D., McGinley B., Kilmartin L., Glavin M., Jones E.: Compressed Sensing for Bioelectric Signals: A Review. IEEE Journal of Biomedical and Health Informatics, Vol. 19, no. 2, 2015, pp. 529 – 540. DOI 10.1109/JBHI.2014.2327194

  92. Jinwei Xu, Jiankun Hu, Xiuping Jia: A Multistaged Automatic Restoration of Noisy Microscopy Cell Images. IEEE Journal of Biomedical and Health Informatics, Vol. 19, no. 1, 2015, pp. 367 – 376. DOI 10.1109/JBHI.2014.2305445

  93. Peyghambari A., Dastfan A., Ahmadyfard A.: Strategy for switching period selection in random pulse width modulation to shape the noise spectrum. IET Power Electronics, Vol. 8, no. 4, 2015, pp. 517 – 523. DOI 10.1049/iet-pel.2014.0118

  94. Takahashi Y., Ahagon A., Fujiwara K., Iwashita T., Nakashima H.: Analysis of induced electric field in human body by utility power frequency magnetic field using parallel fast multipole-accelerated boundary element method. IET Science, Measurement & Technology, Vol. 9, no. 2, 2015, pp. 178 – 183. DOI 10.1049/iet-smt.2014.0195

  95. Xin Huang, Jianfeng Zheng, Xin Wu, Kono M., Hozono H., Kainz W., Fan Yang, Ji Chen: MRI Heating Reduction for External Fixation Devices Using Absorption Material. IEEE Trans on EMC, Vol. 57, no. 4, 2015, pp. 635 – 642. DOI 10.1109/TEMC.2015.2407318

  96. Gebhardt P., Wehner J., Weissler B., Frach T., Marsden P.K., Schulz V.: RESCUE - Reduction of MRI SNR Degradation by Using an MR-Synchronous Low-Interference PET Acquisition Technique. IEEE Trans on Nuclear Science, Vol. 62, no. 3, 2015, pp. 634 – 643. DOI 10.1109/TNS.2015.2434851

  97. Iborra A., Rodriguez-Alvarez M.J., Soriano A., Sanchez F., Bellido P., Conde P., Crespo E., Gonzalez A.J., Moliner L., Rigla J.P., Seimetz M., Vidal L.F., Benlloch J.M.: Noise Analysis in Computed Tomography (CT) Image Reconstruction using QR-Decomposition Algorithm. IEEE Trans on Nuclear Science, Vol. 62, no. 3, 2015, pp. 869 – 875. DOI 10.1109/TNS.2015.2422213

  98. Nathan V., Jafari R.: Design Principles and Dynamic Front End Reconfiguration for Low Noise EEG Acquisition With Finger Based Dry Electrodes. IEEE Trans. on Biomedical Circuits and Systems, Vol. 9, no. 5, 2015, pp. 631 – 640. DOI 10.1109/TBCAS.2015.2471080

  99. Izumi S., Yamashita K., Nakano M., Yoshimoto S., Nakagawa T., Nakai Y., Kawaguchi H., Kimura H., Marumoto K., Fuchikami T., Fujimori Y., Nakajima H., Shiga T., Yoshimoto M.: Normally Off ECG SoC With Non-Volatile MCU and Noise Tolerant Heartbeat Detector. IEEE Trans. on Biomedical Circuits and Systems, Vol. 9, no. 5, 2015, pp. 641 – 651. DOI 10.1109/TBCAS.2015.2452906

  100. Izumi S., Yamashita K., Nakano M., Kawaguchi H., Kimura H., Marumoto K., Fuchikami T., Fujimori Y., Nakajima H., Shiga T., Yoshimoto M.: A Wearable Healthcare System With a 13.7 μA Noise Tolerant ECG Processor. IEEE Trans. on Biomedical Circuits and Systems, Vol. 9, no. 5, 2015, pp. 733 – 742. DOI 10.1109/TBCAS.2014.2362307

  101. Changyang Li, Xiuying Wang, Eberl S., Fulham M., Yong Yin, Feng D.D.: Supervised Variational Model With Statistical Inference and Its Application in Medical Image Segmentation. IEEE Trans on Biomedical Eng., Vol. 62, no. 1, 2015, pp. 196 – 207. DOI 10.1109/TBME.2014.2344660

  102. Koning R., Madhu N., Wouters J.: Ideal Time–Frequency Masking Algorithms Lead to Different Speech Intelligibility and Quality in Normal-Hearing and Cochlear Implant Listeners. IEEE Trans on Biomedical Eng., Vol. 62, no. 1, 2015, pp. 331 – 341. DOI 10.1109/TBME.2014.2351854

  103. Kiani M., Ghovanloo M.: A 13.56-Mbps Pulse Delay Modulation Based Transceiver for Simultaneous Near-Field Data and Power Transmission. IEEE Trans. on Biomedical Circuits and Systems, Vol. 9, no. 1, 2015, pp. 1 – 11. DOI 10.1109/TBCAS.2014.2304956

  104. Viswam Nathan, Ilge Akkaya, Roozbeh Jafari: A Particle Filter Framework for the Estimation of Heart Rate from ECG Signals Corrupted by Motion Artifacts. Int. Conf of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015, Milan, Italy.

  105. Chengzhi Zong, Roozbeh Jafari: Robust Heart Rate Estimation Using Wrist-Based PPG Signals in the Presence of Intense Physical Activities. Int. Conf of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015, Milan, Italy.

  106. Ilku Nam, Hongseok Kang, Doo Hyung Woo: Bio-signal acquisition circuit with high signal-to-noise ratio for u-healthcare system. Electronics Lett., Vol. 50, no. 23, 2014, pp. 1671 – 1673. DOI 10.1049/el.2014.3088

  107. RamRakhyani A.K., Lazzi G.: Interference-free wireless power transfer system for biomedical implants using multi-coil approach. Electronics Lett., Vol. 50, no. 12, 2014, pp. 853 – 855. DOI 10.1049/el.2014.0567

  108. Wang P., Halvorsrød T.M., Ytterdal T.: 0.5 V inverter-based ultra-low-power, low-noise VGA for medical ultrasound probes. Electronics Lett., Vol. 50, no. 2, 2014, pp. 69 – 71. DOI 10.1049/el.2013.3457

  109. Yu-Jui Chen, Cheng-Wen Wei, Yi FanChiang, Yi-Le Meng, Yi-Cheng Huang, Shyh-Jye Jou: Neuromorphic Pitch Based Noise Reduction for Monosyllable Hearing Aid System Application. IEEE Trans on CAS I : Regular Papers, Vol. 61, no. 2, 2014, pp. 463 – 475. DOI 10.1109/TCSI.2013.2278348

  110. Cheng-Wen Wei, Cheng-Chun Tsai, Yi FanJiang, Tian-Sheuan Chang, Shyh-Jye Jou: Analysis and implementation of low-power perceptual multiband noise reduction for the hearing aids application. IET Circuits, Devices & Systems, Vol. 8, no. 6, 2014, pp. 516 – 525. DOI 10.1049/iet-cds.2013.0326

  111. Xi Lin Chen, Umenei A.E., Baarman D.W., Chavannes N., De Santis V., Mosig J.R., Kuster N.: Human Exposure to Close-Range Resonant Wireless Power Transfer Systems as a Function of Design Parameters. IEEE Trans on EMC, Vol. 56, no. 5, 2014, pp. 1027 – 1034. DOI 10.1109/TEMC.2014.2308013

  112. Bieth F., Schunck T., Pinguet S., Delmote P.: Pacemaker Exposure to High-Power Microwave Ultrawideband Radiation. IEEE Trans on EMC, Vol. 56, no. 4, 2014, pp. 964 – 969. DOI 10.1109/TEMC.2013.2294491

  113. Chakarothai J., Jianqing Wang, Fujiwara O., Wake K., Watanabe S.: A Hybrid MoM/FDTD Method for Dosimetry of Small Animal in Reverberation Chamber. IEEE Trans on EMC, Vol. 56, no. 3, 2014, pp. 549 – 558. DOI 10.1109/TEMC.2014.2304958

  114. Qinglin Zhao, Bin Hu, Yujun Shi, Yang Li, Moore P., Minghou Sun, Hong Peng: Automatic Identification and Removal of Ocular Artifacts in EEG—Improved Adaptive Predictor Filtering for Portable Applications. IEEE Trans on NanoBioscience, Vol. 13, no. 2, 2014, pp. 109 – 117. DOI 10.1109/TNB.2014.2316811

  115. Bing Wang, De-Shuang Huang, ChangJun Jiang: A New Strategy for Protein Interface Identification Using Manifold Learning Method. IEEE Trans on NanoBioscience, Vol. 13, no. 2, 2014, pp. 118 – 123. DOI 10.1109/TNB.2014.2316997

  116. Maulik U., Chakraborty D.: Fuzzy Preference Based Feature Selection and Semisupervised SVM for Cancer Classification. IEEE Trans on NanoBioscience, Vol. 13, no. 2, 2014, pp. 152 – 160. DOI 10.1109/TNB.2014.2312132

  117. Lepola P., Myllymaa S., Toyras J., Mervaala E., Lappalainen R., Myllymaa K.: Shielded Design of Screen-Printed EEG Electrode Set Reduces Interference Pick-Up. IEEE Sensors Journal, Vol. 14, no. 8, 2014, pp. 2692 – 2697. DOI 10.1109/JSEN.2014.2314318

  118. Karasz Z., Fiath R., Foldesy P., Rodriguez Vazquez A.: Tunable Low Noise Amplifier Implementation With Low Distortion Pseudo-Resistance for in Vivo Brain Activity Measurement. IEEE Sensors Journal, Vol. 14, no. 5, 2014, pp. 1357 – 1363. DOI 10.1109/JSEN.2013.2294971

  119. Gonzalez-Moreno A., Aurtenetxe S., Lopez-Garcia M.-E., del Pozo F., Maestu F., Nevado A.: Signal-to-noise ratio of the MEG signal after preprocessing. Journal of Neuroscience Methods, Vol. 222, 2014, pp. 56 – 61. DOI 10.1016/j.jneumeth.2013.10.019

  120. Gahm Jin Kyu, Kindlmann G., Ennis D.B.: The effects of noise over the complete space of diffusion tensor shape. Medical Image Analysis, Vol. 18, no. 1, 2014, pp. 197 – 210. DOI 10.1016/j.media.2013.10.009

  121. D. Kim, B. Goldstein, W. Tang, F. J. Sigworth, E. Culurciello: Noise Analysis and Performance Comparison of Low Current Measurement Systems for Biomedical Applications. IEEE Trans. on Biomedical Circuits and Systems, Vol. 7, no. 1, 2013, pp. 52 – 62. DOI 10.1109/TBCAS.2012.2192273

  122. Melia G.C.R., Robinson M.P., Flintoft I.D., Marvin A.C., Dawson J.F.: Broadband Measurement of Absorption Cross Section of the Human Body in a Reverberation Chamber. IEEE Trans on EMC, Vol. 55, no. 6, 2013, pp. 1043 – 1050. DOI 10.1109/TEMC.2013.2248735

  123. Chao Ma, Changhui Hu, Jiao Cheng, Lingli Xia, Chiang P.Y.: A Near-Threshold, 0.16 nJ/b OOK-Transmitter With 0.18 nJ/b Noise-Cancelling Super-Regenerative Receiver for the Medical Implant Communications Service. IEEE Trans. on Biomedical Circuits and Systems, Vol. 7, no. 6, 2013, pp. 841 – 850. DOI 10.1109/TBCAS.2013.2253555

  124. Anderson A.L., Bingxiong Lin, Yu Sun: Virtually Transparent Epidermal Imagery (VTEI): On New Approaches to In Vivo Wireless High-Definition Video and Image Processing. IEEE Trans. on Biomedical Circuits and Systems, Vol. 7, no. 6, 2013, pp. 851 – 860. DOI 10.1109/TBCAS.2013.2253607

  125. Alzaher H.A., Tasadduq N., Mahnashi Y.: A Highly Linear Fully Integrated Powerline Filter for Biopotential Acquisition Systems. IEEE Trans. on Biomedical Circuits and Systems, Vol. 7, no. 5, 2013, pp. 703 – 712. DOI 10.1109/TBCAS.2013.2245506

  126. Glaros K., Drakakis E.M.: A Sub-mW Fully-Integrated Pulse Oximeter Front-End. IEEE Trans. on Biomedical Circuits and Systems, Vol. 7, no. 3, 2013, pp. 363 – 375. DOI 10.1109/TBCAS.2012.2200677

  127. Kune D.F., Backes J., Clark S.S., Kramer D., Reynolds M., Fu K., Yongdae Kim, Wenyuan Xu: Ghost Talk: Mitigating EMI Signal Injection Attacks against Analog Sensors. IEEE Symp on Security and Privacy (SP), 2013, pp. 145 159. DOI 10.1109/SP.2013.20

  128. Eakhwan Song, Hark-Byeong Park, Hyun Ho Park: An electromagnetic interference (EMI) evaluation method for components in mobile devices. IEEE Int. Symp. on Electromagnetic Compatibility (EMC), 2013, pp. 783 786. DOI 10.1109/ISEMC.2013.6670516

  129. Yilmaz H., Vos W.L., Mosk A.P.: Optimal control of light propagation through multiple-scattering media in the presence of noise. Biomedical Optics Express, Vol. 4, no. 9, 2013, pp. 1759 – 1768. DOI 10.1364/BOE.4.001759

  130. Pena A.F., Devine J., Doronin A., Meglinski I.: Imaging of the interaction of low-frequency electric fields with biological tissues by optical coherence tomography. Optics Letters, Vol. 38, no. 14, 2013, pp. 2629 – 2631. DOI 10.1364/OL.38.002629

  131. Tang T.B., Lu C.K., Laude A., Dhillon B., Murray A.F.: Noise reduction for ellipse fitting on medical images. Electronics Lett., Vol. 49, no. 3, 2013, pp. 178179. DOI 10.1049/el.2012.3432

  132. Kang B., Choi O., Kim J.D., Hwang D.: Noise reduction in magnetic resonance images using adaptive non-local means filtering. Electronics Lett., Vol. 49, no. 5, 2013, pp. 324 – 326. DOI 10.1049/el.2012.3602

  133. Jeong J.S.: Suppression of therapeutic interference by using Barker code and adaptive notch filtering for real-time HIFU surgery and ultrasound imaging. Electronics Lett., Vol. 49, no. 14, 2013, pp. 871873. DOI 10.1049/el.2013.0418

  134. Dehghani S., Abouei J.: Optimised LNA for wireless link in brain machine interface applications. Electronics Lett., Vol. 49, no. 15, 2013, pp. 925 – 927. DOI 10.1049/el.2013.1206

  135. Nitschmann M., Verhey J.L.: Binaural notched-noise masking and auditory-filter shape. Journal of the Acoustical Society of America, Vol. 133, no. 4, 2013, pp. 22622271. DOI 10.1121/1.4792352

  136. Wai Bryan, Thai Wai-ee, Brown H., Truong Quynh A.: Novel phase-based noise reduction strategy for quantification of left ventricular function and mass assessment by cardiac CT: Comparison with cardiac magnetic resonance. European Journal of Radiology, Vol. 82, no. 8, 2013, pp. E337E341. DOI 10.1016/j.ejrad.2013.02.023

  137. Engstroem M., Skare S.: Diffusion-Weighted 3D Multislab Echo Planar Imaging for High Signal-to-Noise Ratio Efficiency and Isotropic Image Resolution. Magnetic Resonance in Medicine, Vol. 70, no. 6, 2013, pp. 15071514. DOI 10.1002/mrm.24594

  138. Ji T.Y., Wu Q.H.: Broadband noise suppression and feature identification of ECG waveforms using mathematical morphology and embedding theorem. Computer Methods and Programs in Biomedicine, Vol. 112, no. 3, 2013, pp. 466480. DOI 10.1016/j.cmpb.2013.08.006

  139. Boyacioglu R., Barth M.: Generalized iNverse Imaging (GIN): Ultrafast fMRI With Physiological Noise Correction. Magnetic Resonance in Medicine, Vol. 70, no. 4, 2013, pp. 962971. DOI 10.1002/mrm.24528

  140. Brion V., Poupon C., Riff Ol., Aja-Fernandez S., et al.: Noise correction for HARDI and HYDI data obtained with multi-channel coils and Sum of Squares reconstruction: An anisotropic extension of the LMMSE. Magnetic Resonance Imaging, Vol. 31, no. 8, 2013, pp. 13601371. DOI 10.1016/j.mri.2013.04.002

  141. Arboleda C., Wang Z;, Stampanoni M.: Wavelet-based noise-model driven denoising algorithm for differential phase contrast mammography. Optics Express, Vol. 21, no. 9, 2013, pp. 1057210589. DOI 10.1364/OE.21.010572

  142. Ash T., Suckling J., Walter M., Ooi C., Tempelmann C., Carpenter A., Williams G.: Detection of physiological noise in resting state fMRI using machine learning. Human Brain Mapping, Vol. 34, no. 4, 2013, pp. 985998. DOI 10.1002/hbm.21487

  143. Li Ting, Qiu Tianshuang, Tang Hong: Optimum heart sound signal selection based on the cyclostationary property. Computers in Biology and Medicine, Vol. 43, no. 6, 2013, pp. 607612. DOI 10.1016/j.compbiomed.2013.03.002

  144. Dliou A., Latif R., Laaboubi M., Maoulainine F., Elouaham S.: Noised abnormal ECG signal analysis by combining EMD and Choi-Williams techniques. Int. Conf on Complex Systems (ICCS), 2012, pp. 1 5. DOI 10.1109/ICoCS.2012.6458585

  145. Romeo S., D'Avino C., Pinchera D., Zeni O., Scarfi M.R., Massa R.: A Waveguide Applicator for In Vitro Exposures to Single or Multiple ICT Frequencies. IEEE Trans on MTT, Vol. 61, no. 5, Part II, 2013, pp 1994 – 2004. DOI 10.1109/TMTT.2013.2246185

  146. Kohler S., O'Connor R.P., Thi Dan Thao Vu, Leveque P., Arnaud-Cormos D.: Experimental Microdosimetry Techniques for Biological Cells Exposed to Nanosecond Pulsed Electric Fields Using Microfluorimetry. IEEE Trans on MTT, Vol. 61, no. 5, Part II, 2013, pp 2015 – 2022. DOI 10.1109/TMTT.2013.2252917

  147. Smital L., Vítek M., Kozumplík J., Provazník I.: Adaptive Wavelet Wiener Filtering of ECG Signals. IEEE Trans on Biomedical Eng., Vol. 60, no. 2, 2013, pp 437 – 445. DOI 10.1109/TBME.2012.2228482

  148. de Oliveira Dutra O., Pimenta T. C.: Low power low noise bio-amplifier with adjustable gain for digital bio-signals acquisition systems. IEEE Fourth Latin American Symp. on Circuits and Systems (LASCAS), 2013, pp. 1 – 4. DOI 10.1109/LASCAS.2013.6518985

  149. Singer A., Wu H.-T.: Two-dimensional tomography from noisy projections taken at unknown random directions. SIAM Journal on Imaging Sciences, Vol. 6, no. 1, 2013, pp 136 – 175. DOI 10.1137/090764657

  150. Dandan Liang, Hon Tat Hui, Tat Soon Yeo, Bing Keong Li: Stacked Phased Array Coils for Increasing the Signal-to-Noise Ratio in Magnetic Resonance Imaging. IEEE Trans. on Biomedical Circuits and Systems, Vol. 7, no. 1, 2013, pp 24 – 30. DOI 10.1109/TBCAS.2012.2194144

  151. Dongsoo Kim, Goldstein B., Wei Tang, Sigworth F.J., Culurciello E.: Noise Analysis and Performance Comparison of Low Current Measurement Systems for Biomedical Applications. IEEE Trans. on Biomedical Circuits and Systems, Vol. 7, no. 1, 2013, pp 52 – 62. DOI 10.1109/TBCAS.2012.2192273

  152. Chung-Yu Wu, Wei-Ming Chen, Liang-Ting Kuo: A CMOS Power-Efficient Low-Noise Current-Mode Front-End Amplifier for Neural Signal Recording. IEEE Trans. on Biomedical Circuits and Systems, Vol. 7, no. 2, 2013, pp 107 – 114. DOI 10.1109/TBCAS.2013.2256422

  153. Feiniu Yuan, Kai-Hsiang Chuang, Jimin Liu: A Variational Surface Deformation and Subdivision-Based Modeling Framework for Noisy and Small n-Furcated Tube-Like Structures. IEEE Trans on Biomedical Eng., Vol. 60, no. 6, 2013, pp 1589,1598 DOI 10.1109/TBME.2013.2238936

  154. Hofmanis J., Caspary O., Louis-Dorr V., Ranta R., Maillard L.: Denoising Depth EEG Signals During DBS Using Filtering and Subspace Decomposition. IEEE Trans on Biomedical Eng., Vol. 60, no. 10, 2013, pp 2686 – 2695. DOI 10.1109/TBME.2013.2262212

  155. Nguyen H.M., Xi Peng, Do M.N., Zhi-Pei Liang: Denoising MR Spectroscopic Imaging Data With Low-Rank Approximations. IEEE Trans on Biomedical Eng., Vol. 60, no. 1, Part 1, 2013, pp 78 – 89. DOI 10.1109/TBME.2012.2223466

  156. Erturk M.A., Bottomley P.A., El-Sharkawy A.-M.M.: Denoising MRI Using Spectral Subtraction. IEEE Trans on Biomedical Eng., Vol. 60, no. 6, 2013, pp 1556 – 1562. DOI 10.1109/TBME.2013.2239293

  157. Telenkov S. A., Alwi R., Mandelis A.: Photoacoustic correlation signal-to-noise ratio enhancement by coherent averaging and optical waveform optimization. Review of Scientific Instruments, Vol. 84, no. 10, 2013, pp 104907 – 104907-7. DOI 10.1063/1.4825034

  158. Li Dong, Svensson J., Thomsen H., Medina F., Werner A., Wolf R.: Bayesian soft X-ray tomography using non-stationary Gaussian Processes. Review of Scientific Instruments, Vol. 84, no. 8, 2013, pp 083506 – 083506-10. DOI 10.1063/1.4817591

  159. Santosa H., Jiyoun Hong, Melissa Kim, Sung-Phil, Hong Keum-Shik: Noise reduction in functional near-infrared spectroscopy signals by independent component analysis. Review of Scientific Instruments, Vol. 84, no. 7, 2013, pp 073106 – 073106-9. DOI 10.1063/1.4812785

  160. Khan S., Cohen D.: Note: Magnetic noise from the inner wall of a magnetically shielded room. Review of Scientific Instruments, Vol. 84, no. 5, 2013, pp 056101 – 056101-3. DOI 10.1063/1.4802845

  161. Demosthenous A., Pachnis I., Dai Jiang, Donaldson N.: An Integrated Amplifier With Passive Neutralization of Myoelectric Interference From Neural Recording Tripoles. IEEE Sensors Journal, Vol. 13, no. 9, 2013, pp 3236 – 3248. DOI 10.1109/JSEN.2013.2271477

  162. Joshi S., Thaker V., Amaravati A., Shojaei-Baghini M.: Low-power low-noise analog signal conditioning chip with on-chip drivers for healthcare applications. Microelectronics J., 2012, Vol. 43, no. 11, pp 828 – 837. DOI 10.1016/j.mejo.2012.06.008

  163. Akito Tateishi, Sarah K. Coleman, Satoshi Migita, Kari Keinänen, Tetsuya Haruyama: Post-Synapse Model Cell for Synaptic Glutamate Receptor (GluR)-Based Biosensing: Strategy and Engineering to Maximize Ligand-Gated Ion-Flux Achieving High Signal-to-Noise Ratio. Sensors 2012, Vol. 12, no 1, pp 1035 – 1041. DOI 10.3390/s120101035 http://www.mdpi.com/1424-8220/12/1/1035/

  164. Lei Zhang, Tao Dong, Xinyan Zhao, Zhaochu Yang, Pires N.M.M.: An infrared radiation based thermal biosensor for enzymatic biochemical reactions. IEEE Annual Int. Conf. of Engineering in Medicine and Biology Society (EMBC), 2012, pp. 523 – 526. DOI 10.1109/EMBC.2012.6345983

  165. Qazi, O., van Dijk, B., Moonen, M., Wouters, J.: Speech Understanding Performance of Cochlear Implant Subjects using Time-Frequency Masking based Noise Reduction. IEEE Trans. on Biomedical Engineering, Vol. 59, no. 5, 2012, pp.1364 – 1373. DOI 10.1109/TBME.2012.2187650

  166. Zhang C. F., Bae T.-W.: VLSI Friendly ECG QRS Complex Detector for Body Sensor Networks. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Vol. 2, no. 1, 2012, pp. 52 – 59. DOI 10.1109/JETCAS.2012.2187706

  167. Guo J., Yuan J., Huang J., Law J. K.-Y., Yeung C.-K., Chan M.: 32.9 nV/rt Hz 60.6 dB THD Dual-Band Micro-Electrode Array Signal Acquisition IC. IEEE Journal of Solid-State Circuits, Vol. 47, no. 5, 2012, pp. 1209 – 1220. DOI 10.1109/JSSC.2012.2185590

  168. Narayanan P., Kina J., Panchapakeshan P., Chui C., Moritz C.: Integrated Device-Fabric Explorations and Noise Mitigation in Nanoscale Fabrics. IEEE Trans. on Nanotechnology, Vol. 11, no. 4, 2012, pp. 687 – 700. DOI 10.1109/TNANO.2012.2189413

  169. Wu S., Swindlehurst A., Wang P., Nenadic Z.: Projection vs. Prewhitening for EEG Interference Suppression. IEEE Trans. on Biomedical Engineering, Vol. 59, no. 5, 2012, pp. 1329 – 1338. DOI 10.1109/TBME.2012.2187335

  170. Yonghyun Baek, Youna Ji, Young Cheol Park, Dong Wook Kim, Junil Shon: Real-time binaural noise reduction in diffuse noise field. IEEE Int. Conf. on Consumer Electronics (ICCE), 2012, pp. 273 – 274. DOI 10.1109/ICCE.2012.6161863

  171. Saberhosseini S.S., Zabihian A., Sodagar A.M.: Low-noise OTA for neural amplifying applications. 8th Int. Caribbean Conf on Devices, Circuits and Systems (ICCDCS), 2012, pp. 1 – 4. DOI 10.1109/ICCDCS.2012.6188881

  172. Fiorillo A. : Deposition of zeolite thin-layers onto silicon wafers for biomedical use. IEEE Trans. on Nanotechnology, Vol. 11, no. 4, 2012, pp. 654 – 656. DOI 10.1109/TNANO.2012.2193413

  173. Kolandaivelu A., Jayanti V., Halperin H. R., Berger R. D. : Switchable Faraday Shielding With Application to Reducing the Pain of Internal Cardiac Defibrillation While Permitting External Defibrillation. IEEE Trans. on Biomedical Engineering, Vol. 59, no. 2, 2012, pp. 409 – 416. DOI 10.1109/TBME.2011.2173687

  174. Hong Liu, Kea-Tiong Tang, Jo-Yu Wu, Guoxing Wang: A digitally trimmable low-noise low-power analog front-end for EEG signal acquisition. Int. Conf. on Biomedical and Health Informatics (BHI), IEEE-EMBS, 2012, pp. 208 – 211. DOI 10.1109/BHI.2012.6211547

  175. Li S., Fang L., Yin H. : An Efficient Dictionary Learning Algorithm and Its Application to 3-D Medical Image Denoising. IEEE Trans. on Biomedical Engineering, Vol. 59, no. 2, 2012, pp. 417 – 427. DOI 10.1109/TBME.2011.2173935 

  176. Grassi P.R., Rana V., Beretta I., Sciuto D.: B²IRS: A Technique to Reduce BAN-BAN Interferences in Wireless Sensor Networks. 9th Int. Conf on Wearable and Implantable Body Sensor Networks (BSN), 2012, pp. 46 – 51. DOI 10.1109/BSN.2012.30

  177. Godinez Navarro W. J., Lampe M., Koch P., Eils R., Muller B., Rohr K.: Identifying Virus-Cell Fusion in Two-Channel Fluorescence Microscopy Image Sequences Based on a Layered Probabilistic Approach. IEEE Trans. on Medical Imaging, Vol. 31, no. 9, 2012, pp.1786 – 1808. DOI 10.1109/TMI.2012.2203142

  178. Fuster A., van Pelt R.F.P., Fick R.H.J., Claassen G., ter Haar Romeny B.M., van Assen H.C., Florack L.M.J.: 3D saddle point detection and applications in cardiac imaging. 9th IEEE Int. Symp on Biomedical Imaging (ISBI), 2012, pp. 808 – 811. DOI 10.1109/ISBI.2012.6235671

  179. R. Serizel, M. Moonen, J. Wouters, S. H. Jensen : A Zone-of-Quiet Based Approach to Integrated Active Noise Control and Noise Reduction for Speech Enhancement in Hearing Aids. IEEE Trans on Audio, Speech, and Language Processing, Vol. 20, no. 6, 2012, pp 1685 – 1697. DOI 10.1109/TASL.2012.2187193

  180. R. Serizel, M. Moonen, J. Wouters, S. H. Jensen : Output SNR analysis of integrated active noise control and noise reduction in hearing aids under a single speech source scenario. Signal Processing, 2011, Vol. 91, no 8, pp. 1719 – 1729. DOI 10.1016/j.sigpro.2011.01.016

  181. Rajan N. K., Routenberg D. A., Reed M. A.: Optimal signal-to-noise ratio for silicon nanowire biochemical sensors. Applied Physics Letters, Vol. 98, no. 26, 2011, pp. 264107-264107-3 DOI 10.1063/1.3608155

  182. Martin G.S., Julian P., Mandolesi P.S., Ybarra G.O., Aymonino O.A.: Noise characterization for a BOD electrochemical sensor. Argentine School of Micro-Nanoelectronics Technology and Applications (EAMTA), 2011, pp. 1 – 6. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6021282&isnumber=6021266

  183. Kish L.B., Khatri S.P., Bezrukov S.M., Peper F., Gingl Z., Horvath T.: Noise-based information processing. 21st Int. Conf. on Noise and Fluctuations (ICNF), 12-16 June 2011, pp 28 – 33. DOI 10.1109/ICNF.2011.5994324

  184. Hassan, M., Boudaoud, S., Terrien, J., Karlsson, B., Marque, C.: Combination of Canonical Correlation Analysis and Empirical Mode Decomposition Applied to Denoising the Labor Electrohysterogram. IEEE Trans. on Biomedical Engineering, Vol. 58, no. 9, 2011, pp. 2441 – 2447. DOI 10.1109/TBME.2011.2151861

  185. Tanizuka N., Hochin T.: Cerebral cortical alpha rhythms and a discussion on its Nonlinear Analysis Results. 21st Int. Conf. on Noise and Fluctuations (ICNF), 12-16 June 2011, pp 413 – 416. DOI 10.1109/ICNF.2011.5994357

  186. Kayaian J., Orsal B.: Ultrasensitive portable optoelectronic system dedicated to detection of bioluminescence. 21st Int. Conf. on Noise and Fluctuations (ICNF), 12-16 June 2011, pp 305 – 308. DOI 10.1109/ICNF.2011.5994328

  187. Millithaler J.-F., Alfinito E., Reggiani L.: Charge transport and current fluctuations in bacteriorhodopsin based nanodevices. 21st Int. Conf. on Noise and Fluctuations (ICNF), 12-16 June 2011, pp 417 – 420. DOI 10.1109/ICNF.2011.5994358

  188. Yamamoto Y.: Noise and fluctuations in human physiology: Anomalous statistics in health and diseases. 21st Int. Conf. on Noise and Fluctuations (ICNF), 12-16 June 2011, p 9. DOI 10.1109/ICNF.2011.5994395

  189. Wegmueller M.S., Oberle M., Felber N., Kuster N., Fichtner W.: Signal Transmission by Galvanic Coupling Through the Human Body. IEEE Trans on Instr. & Meas., Vol. 59, no 4, 2010, pp 963 – 969. DOI 10.1109/TIM.2009.2031449

  190. Lamey M, Rathee S, Johnson L, Carlone M, Blosser E, Fallone B.G: Radio Frequency Noise From the Modulator of a Linac. IEEE Trans on EMC, Vol. 52, no 3, 2010, pp 530 – 536. DOI 10.1109/TEMC.2010.2051950

  191. Costa G., Giménez N, Arnaud A, Miguez M: SCTF loop for noise reduction in Autozero amplifiers. Electronics Lett., Vol. 46, no 18, 2010, pp 1256 – 1257. DOI 10.1049/el.2010.1456

  192. Choi Ji-Min, Han Jin-Woo, Choi Sung-Jin, Choi Yang-Kyu: Analytical Modeling of a Nanogap-Embedded FET for Application as a Biosensor. IEEE Trans on ED, Vol. 57, no 12, 2010, pp 3477 – 3484. DOI 10.1109/TED.2010.2076152

  193. Izadi M.H., Tousignant O., Mokam M.F., Karim K.S.: An a-Si Active Pixel Sensor (APS) Array for Medical X-ray Imaging. IEEE Trans on ED, vol. 57, no. 11, 2010, pp. 3020 – 3026. DOI 10.1109/TED.2010.2069010

  194. Lopes P. A. C., Germano J., de Almeida T. M., Sousa L. A., Piedade M. S., Cardoso F. A., Ferreira H. A., Freitas P. P.: Measuring and Extraction of Biological Information on New Handheld Biochip-Based Microsystem. IEEE Trans on Instr. & Meas., Vol. 59, no 1, 2010, pp 56 – 62. DOI 10.1109/TIM.2008.2003321

  195. Rajan N. K., Routenberg D. A., Chen Jin, Reed M. A.: Temperature dependence of 1/f noise mechanisms in silicon nanowire biochemical field effect transistors. Applied Physics Letters, Vol. 97, no. 24, 2010, pp. 243501 – 243501-3. DOI 10.1063/1.3526382

  196. Hua Wang, Yiming Zhou, Xianglong Yang, Liren Wang: Plume Source Localizing in Different Distributions and Noise Types Based on WSN. Int. Conf. on Communications and Mobile Computing (CMC), 2010, Vol. 3, pp. 63 – 66. DOI 10.1109/CMC.2010.332

  197. A. Mencattini, G. Rabottino, M. Salmeri, B. Sciunzi, R. Lojacono: Denoising and enhancement of mammographic images under the assumption of heteroscedastic additive noise by an optimal subband thresholding. Int. Journal of Wavelets, Multiresolution and Information Processing (World Scientific), Vol. 8, no 5, 2010, pp 713 – 741. DOI 10.1142/S0219691310003754 http://www.simplify.it/cgi-bin/showfile?pub+pdf+P_1240231780+1343235941

  198. Mollazadeh M., Murari K., Cauwenberghs G., Thakor N.: Micropower CMOS Integrated Low-Noise Amplification, Filtering, and Digitization of Multimodal Neuropotentials. IEEE Trans on Biomedical Circ & Syst, Vol. 3, no 1, 2009, pp 1 – 10. DOI 10.1109/TBCAS.2008.2005297

  199. B. Burke, M. Lamey, S. Rathee, B. Murray, B. G. Fallone : Radio frequency noise from clinical linear accelerators. Phys. Med. Biol., Vol. 54, 2009, pp 2483 – 2492. DOI 10.1088/0031-9155/54/8/015

  200. Thorp C.K., Steinmetz P.N.: Interference and Noise in Human Intracranial Microwire Recordings. IEEE Trans on Biomedical Eng., Vol. 56, no 1, 2009, pp 30 – 36. DOI 10.1109/TBME.2008.2006009

  201. Rojo-Alvarez J.L., Barquero-Perez O., Mora-Jimenez I., Everss E., Rodriguez-Gonzalez A.B., Garcia-Alberola A.: Heart Rate Turbulence Denoising Using Support Vector Machines. IEEE Trans on Biomedical Eng., Vol. 56, no 2, 2009, pp 310 – 319. DOI 10.1109/TBME.2008.2003146

  202. Drapaca C.S.: A Nonlinear Total Variation-Based Denoising Method With Two Regularization Parameters. IEEE Trans on Biomedical Eng., Vol. 56, no 3, 2009, pp 582 – 586. DOI 10.1109/TBME.2008.2011561

  203. Jianhua Luo, Yuemin Zhu, Magnin I.E.: Denoising by Averaging Reconstructed Images: Application to Magnetic Resonance Images. IEEE Trans on Biomedical Eng., Vol. 56, no 3, 2009, pp 666 – 674. DOI 10.1109/TBME.2009.2012256

  204. Elser V.: Noise Limits on Reconstructing Diffraction Signals From Random Tomographs. IEEE Trans. on Information Theory, vol. 55, no. 10, 2009, pp. 4715 – 4722. DOI 10.1109/TIT.2009.2027547

  205. Rabbani H., Nezafat R., Gazor S.: Wavelet-Domain Medical Image Denoising Using Bivariate Laplacian Mixture Model. IEEE Trans on Biomedical Eng., Vol. 56, no 12, 2009, pp 2826 – 2837. DOI 10.1109/TBME.2009.2028876

  206. Francois A., Himmelhaus M.: Whispering gallery mode biosensor operated in the stimulated emission regime. Applied Physics Letters, Vol. 94, no. 3, 2009, pp. 031101 – 031101-3. DOI 10.1063/1.3059573

  207. M. Salmeri, A. Mencattini, G. Rabottino, R. Lojacono: Signal-dependent Noise Characterization for Mammographic Images Denoising. IMEKO TC4 Symp. (IMEKOTC4 '08), 2008, Firenze, Italy. http://www.simplify.it/cgi-bin/showfile?pub+pdf+P_1206710957+2215651173

  208. Chen, B.-S., Chen P.-W.: Robust Engineered Circuit Design Principles for Stochastic Biochemical Networks With Parameter Uncertainties and Disturbances. IEEE Trans on Biomedical Circ & Syst, Vol. 2, no 2, 2008, pp 114 – 132. DOI 10.1109/TBCAS.2008.926728

  209. R. M. M. Smeets, U. F. Keyser, N. H. Dekker, C. Dekker: Noise in solid-state nanopores. PNAS, Jan 15th, 2008, Vol 105, no 2, pp 417 – 421. DOI 10.1073/pnas.0705349105 http://www.pnas.org/content/105/2/417.full.pdf

  210. A. Mencattini, M. Salmeri, F. Caselli, B. Sciunzi, R. Lojacono: Subband Variance Computation of Homoscedastic Additive Noise in Discrete Dyadic Wavelet Transform. Int. Journal of Wavelets, Multiresolution and Information Processing (World Scientific), Vol. 6, no 6, 2008, pp. 895 – 906. DOI 10.1142/S0219691308002665 http://www.simplify.it/cgi-bin/showfile?pub+pdf+P_1201796068+2416977765

  211. Swaminathan J., Krishnan A., Gandour J.T., Yisheng Xu: Applications of Static and Dynamic Iterated Rippled Noise to Evaluate Pitch Encoding in the Human Auditory Brainstem. IEEE Trans on Biomedical Eng., Vol. 55, no 1, 2008, pp 281 – 287. DOI 10.1109/TBME.2007.896592

  212. Yue-Der Lin, Yu Hen Hu: Power-Line Interference Detection and Suppression in ECG Signal Processing. IEEE Trans on Biomedical Eng., Vol. 55, no 1, 2008, pp 354 – 357. DOI 10.1109/TBME.2007.902234

  213. Celka P., Le K.N., Cutmore T.R.H.: Noise Reduction in Rhythmic and Multitrial Biosignals With Applications to Event-Related Potentials. IEEE Trans on Biomedical Eng., Vol. 55, no 7, 2008, pp 1809 – 1821. DOI 10.1109/TBME.2008.919851

  214. Agostini V., Delsanto S., Knaflitz M., Molinari F.: Noise Estimation in Infrared Image Sequences: A Tool for the Quantitative Evaluation of the Effectiveness of Registration Algorithms. IEEE Trans on Biomedical Eng., Vol. 55, no 7, 2008, pp 1917 – 1920. DOI 10.1109/TBME.2008.919842

  215. Stegle O., Fallert S.V., MacKay D.J., Brage S.: Gaussian Process Robust Regression for Noisy Heart Rate Data. IEEE Trans on Biomedical Eng., Vol. 55, no 9, 2008, pp 2143 – 2151. DOI 10.1109/TBME.2008.923118

  216. Van Der Togt R., E. J. Van Lieshout, R. Hensbroek, E. Beinat, J. M. Binnekade, P. J. Bakker: Electromagnetic interference from radio frequency identification inducing potentially hazardous incidents in critical care medical equipment. JAMA, Vol 299, no 24, 2008, pp 2884 – 2890. DOI 10.1001/jama.299.24.2884

  217. Mencattini A., Salmeri M., Lojacono R., Frigerio M., Caselli F.: Mammographic Images Enhancement and Denoising for Breast Cancer Detection Using Dyadic Wavelet Processing. IEEE Trans on Instr. & Meas., Vol. 57, no 7, 2008, pp 1422 – 1430. DOI 10.1109/TIM.2007.915470

  218. Sayadi O., Shamsollahi M.B.: ECG Denoising and Compression Using a Modified Extended Kalman Filter Structure. IEEE Trans on Biomedical Eng., Vol. 55, no 9, 2008, pp 2240 – 2248. DOI 10.1109/TBME.2008.921150

  219. Ciaccio E.J., Drzewiecki G.M.: Tonometric Arterial Pulse Sensor With Noise Cancellation. IEEE Trans on Biomedical Eng., Vol. 55, no 10, 2008, pp 2388 – 2396. DOI 10.1109/TBME.2008.925692

  220. In-Duk Hwang, Webster J.G.: Direct Interference Canceling for Two-Electrode Biopotential Amplifier. IEEE Trans on Biomedical Eng., Vol. 55, no 11, 2008, pp 2620 – 2627. DOI 10.1109/TBME.2008.923108

  221. Zhang D., Rong J., Chen W. R., Gao F., Xu K., Wu X., Liu H.: Impact of Additive Noise on System Performance of a Digital X-ray Imaging System. IEEE Trans on Biomedical Eng., Vol. 54, no 1, 2007, pp 69 – 73. DOI 10.1109/TBME.2006.884643

  222. K.V.T. Piipponen, R. Sepponen, and P. Eskelinen, A. : Biosignal Instrumentation System Using Capacitive Coupling for Power and Signal Isolation. IEEE Trans. Biomed. Eng., Vol. BME-54, no 10, 2007, pp. 1822 – 1828. DOI 10.1109/TBME.2007.894830

  223. Odille F., Pasquier C., Abacherli R., Vuissoz P.-A., Zientara G. P., Felblinger J.: Noise Cancellation Signal Processing Method and Computer System for Improved Real-Time Electrocardiogram Artifact Correction During MRI Data Acquisition. IEEE Trans on Biomedical Eng., Vol. 54, no 4, 2007, pp 630 – 640. DOI 10.1109/TBME.2006.889174

  224. Degen T., Torrent S., Jackel H.: Low-Noise Two-Wired Buffer Electrodes for Bioelectric Amplifiers. IEEE Trans on Biomedical Eng., Vol. 54, no 7, 2007, pp 1328 – 1332. DOI 10.1109/TBME.2006.889781

  225. E. J. Van Lieshout, S. N. Van Der Veer, R. Hensbroek, J. C. Korevaar, M. B. Vroom, M. J. Schultz: Interference by new-generation mobile phones on critical care medical equipment. Critical Care, Vol. 11, no 5, 2007, pp R98 - R104. DOI 10.1186/cc6115  http://ccforum.com/content/pdf/cc6115.pdf

  226. Klasen T.J., Van den Bogaert T., Moonen M., Wouters J.: Binaural Noise Reduction Algorithms for Hearing Aids That Preserve Interaural Time Delay Cues. IEEE Trans on Signal Processing, Vol. 55, no 4, 2007, pp. 1579 – 1585. DOI 10.1109/TSP.2006.888897

  227. Huaien Luo, Puthusserypady S.: fMRI Data Analysis With Nonstationary Noise Models: A Bayesian Approach. IEEE Trans on Biomedical Eng., Vol. 54, no 9, 2007, pp 1621 – 1630. DOI 10.1109/TBME.2007.902591

  228. Salama K. N., Hassibi A.: Tutorial 1: Integrated Biosensors. IEEE Int. Symp on Circuits and Systems (ISCAS), 2007, pp. nil27 DOI 10.1109/ISCAS.2007.378115

  229. Tam T., Jullien G. A., Yadid-Pecht O.: A CMOS Contact Imager for Cell Detection in Bio-Sensing Applications. IEEE Int. Symp on Circuits and Systems (ISCAS), 2007, pp. 813 – 816. DOI 10.1109/ISCAS.2007.378030

  230. Lempka S.F, Johnson M.D, Barnett D.W, Moffitt M.A, Otto K.J, Kipke D.R, McIntyre C.C.: Optimization of Microelectrode Design for Cortical Recording Based on Thermal Noise Considerations. 28th Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBS '06), 2006, pp 3361 – 3364. DOI 10.1109/IEMBS.2006.259432

  231. Deen M. J., Shinwari M. W., Ranuarez J. C., Landheer D.: Noise considerations in field-effect biosensors. Journal of Applied Physics, vol. 100, no. 7, 2006, pp. 074703 – 074703-8. DOI 10.1063/1.2355542

  232. Stroud D. B., Y. Huang , L. Hansen, R. McKenzie: Walkie talkies cause more electromagnetic interference to medical equipment than mobile phone. Australas. Phys. Eng. Sci. Med., vol. 29, 2006, pp. 315 - 320. DOI 10.1007/BF03178397

  233. Chung-Yen Chao, Guo L.J.: Design and optimization of microring resonators in biochemical sensing applications. Journal of Lightwave Technology, Vol. 24, no. 3, 2006, pp. 1395 – 1402. DOI 10.1109/JLT.2005.863333

  234. Diafeng Zha, Tianshuang Qiu, Dongmei Guo, Zhibin Chen: A novel method for shot noise removal in medical ultrasound images. Proc.. 2005 Int. Conf. on Communications, Circuits and Systems, vol. 2, 2005, pp (xviii+1411). DOI 10.1109/ICCCAS.2005.1495261

  235. Kainz W., Casamento J.P., Ruggera P.S., Chan D.D., Witters D.M.: Implantable cardiac pacemaker electromagnetic compatibility testing in a novel security system Simulator. IEEE Trans. on Biomedical Engineering, vol. 52, no. 3, 2005, pp. 520 – 530. DOI 10.1109/TBME.2004.843293

  236. Batzias F.A., Siontorou C.C.: Investigating the causes of biosensor SNR decrease by means of fault tree analysis. IEEE Trans on Instr. & Meas., Vol. 54, no 4, 2005, pp 1395 – 1406. DOI 10.1109/TIM.2005.851056

  237. Clifford G.D., Zapanta L.F., Janz B.A., Mietus J.E., Youn C.Y., Mark R.G.: Segmentation of 24-hour cardiovascular activity using ECG-based sleep/sedation and noise metrics. Computers in Cardiology, 2005, pp. 595 – 598. DOI 10.1109/CIC.2005.1588171

  238. Sarpeshkar R., Salthouse C., Ji-Jon Sit, Baker M.W., Zhak S.M., Lu T.K.-T., Turicchia L., Balster S.: An ultra-low-power programmable analog bionic ear processor. IEEE Trans on Biomedical Eng., Vol. 52, no. 4, 2005, pp. 711 – 727. DOI 10.1109/TBME.2005.844043

  239. A. Mencattini, M. Salmeri, S. Bertazzoni, A. Salsano: Noise Variance Estimation in Digital Images Using Iterative Fuzzy Procedure. WSEAS Trans on Systems, Vol. 4, no. 2, 2003, pp. 1048 – 1056. http://www.simplify.it/cgi-bin/showfile?pub+pdf+P_1052749795+1250961253

  240. Lin Yuanqing, Lech G., Nioka S., Intes X., Chance B.: Noninvasive, low-noise, fast imaging of blood volume and deoxygenation changes in muscles using light-emitting diode continuous-wave imager. Review of Scientific Instruments, vol. 73, no. 8, 2002, pp. 3065 – 3074. DOI 10.1063/1.1485779

  241. Hin Tat Fung, Chak Wah Kam, Hon Hung Yau: A follow-up study of electromagnetic interference of cellular phones on electronic medical equipment in the emergency department. Emergency Medicine, Vol 14, no 3, 2002, pp 315 – 319. PubMed ID: 12487049

  242. Suzuki S., Kanakogi Y., Tachibana I., Hagiwara T., lida M.: Development of an optical sensor for multicomponent immuno-detection. Proc. of the IEEE (Sensors 2002), Vol. 1, 2002, pp. 478 – 483. DOI 10.1109/ICSENS.2002.1037140

  243. Kutay M.A, Petropulu A.P, Piccoli C.W.: On modeling biomedical ultrasound RF echoes using a power-law shot-noise model. IEEE Trans. on Ultrasonics, Ferroelectrics and Frequency Control, vol. 48, no 4, 2001, pp 953 – 968. DOI 10.1109/58.935712

  244. Hanada E., Antoku Y., Tani S., Kimura M., Hasegawa A., Urano S., Ohe K., Yamaki M., Nose Y.: Electromagnetic interference on medical equipment by low-power mobile telecommunication systems. IEEE Trans. on Electromagnetic Compatibility, vol. 42, no. 4, 2000, pp. 470 – 476. DOI 10.1109/15.902316

  245. Deasy J.O.: Denoising of Monte Carlo dose distributions. Proc of the 22nd Annual Int. Conf. of the IEEE Eng. in Medicine and Biology Society, vol. 2, 2000, pp. 1494 – 1496. DOI 10.1109/IEMBS.2000.898025

  246. B. Suki, A. M. Alencar, M. K. Sujeer, K. R. Lutchen, J. J. Collins, J. S. Andrade Jr., E.P. Ingenito, S. Zapperi, H.E. Stanley: Life-support system benefits from noise. Nature, vol. 393, no 6681, May 1998, pp 127 – 128. DOI 10.1038/30130

  247. Novakov E.: Evaluation of the electrode-amplifier noise in high resolution biological signal acquisition. Proc. Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society, Vol. 4, 1997, pp. 1452 – 1454. DOI 10.1109/IEMBS.1997.756979

  248. Parnas B.R.: Noise and neuronal populations conspire to encode simple waveforms reliably. IEEE Trans. on Biomedical Engineering, vol 43, no 3, 1996, pp. 313 – 318. DOI 10.1109/10.486289

  249. Wang J.: Relation between noise correlation and transmission coefficient of surface coils for magnetic resonance imaging. IEEE Annual Int. Conf Eng. in Medicine and Biology Society (IEMBS), Vol. 1, 1995, pp. 469 – 470. DOI 10.1109/IEMBS.1995.575204

  250. A.C. Metting van Rijn, A. Peper, C.A. Grimbergen : High-Quality Recording of Bioelectric Events: Part 1 Interference Reduction, Theory and Practice. Med. & Bio. Eng. & Comp., Vol. 28, 1990, pp. 389 – 397. PMID: 2277538

  251. Scott G. C., Bogen D. K., Korostoff E.: FFT Performance in the Presence of Noise. IEEE Trans on Biomedical Eng., Vol. BME-34, no. 6, 1987, pp. 424 – 429. DOI 10.1109/TBME.1987.326058

  252. B. B. Winter, J. G. Webster : Reduction of Interference Due to Common Mode Voltage in Biopotential Amplifiers. IEEE Trans. Biomed. Eng., Vol. BME-30, no 1, 1983, pp. 58 – 62. DOI 10.1109/TBME.1983.325167

  253. J. C. Huhta, J. G. Webster: 60-Hz Interference in electrocardiography. IEEE Trans. Biomed. Eng., vol. BME-20, 1973, pp. 91 – 101. DOI 10.1109/TBME.1973.324169

Copyright 2010 © UNESCO, All rights reserved.