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Bioelectromagnetism: Principles and Applications of Bioelectric and Biomagnetic Fields
Jaakko Malmivuo,Robert Plonsey +1 more
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The article was published on 1995-01-01 and is currently open access. It has received 1613 citations till now.read more
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Handbook of Blind Source Separation: Independent Component Analysis and Applications
Pierre Comon,Christian Jutten +1 more
TL;DR: This handbook provides the definitive reference on Blind Source Separation, giving a broad and comprehensive description of all the core principles and methods, numerical algorithms and major applications in the fields of telecommunications, biomedical engineering and audio, acoustic and speech processing.
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A bioinspired flexible organic artificial afferent nerve
Yeongin Kim,Alex Chortos,Wentao Xu,Wentao Xu,Yuxin Liu,Jin Young Oh,Jin Young Oh,Dong Hee Son,Jiheong Kang,Amir M. Foudeh,Chenxin Zhu,Yeongjun Lee,Simiao Niu,Jia Liu,Raphael Pfattner,Zhenan Bao,Tae-Woo Lee +16 more
TL;DR: Flexible organic electronics are used to mimic the functions of a biological afferent nerve and construct a hybrid bioelectronic reflex arc to actuate muscles that has potential applications in neurorobotics and neuroprosthetics.
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ICLabel: An automated electroencephalographic independent component classifier, dataset, and website.
TL;DR: The ICLabel classifier improves upon existing methods by improving the accuracy of the computed label estimates and by enhancing its computational efficiency by outperforms or performs comparably to the previous best publicly available automated IC component classification method for all measured IC categories.
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A Nonlinear Bayesian Filtering Framework for ECG Denoising
TL;DR: A nonlinear Bayesian filtering framework is proposed for the filtering of single channel noisy electrocardiogram (ECG) recordings, demonstrating superior results compared with conventional ECG denoising approaches such as bandpass filtering, adaptive filtering, and waveletDenoising, over a wide range of ECG SNRs.
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Neuropsychiatric applications of transcranial magnetic stimulation: a meta analysis.
TL;DR: Transcranial magnetic stimulation (TMS) is a technology that allows for non-invasive modulation of the excitability and function of discrete brain cortical areas TMS uses alternating magnetic fields to induce electric currents in cortical tissue In psychiatry, TMS has been studied primarily as a potential treatment for major depression Most studies indicate that slow-frequency repetitive TMS and higher frequency rTMS have antidepressant properties as discussed by the authors.
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A quantitative description of membrane current and its application to conduction and excitation in nerve
A. L. Hodgkin,A. F. Huxley +1 more