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Обработка биомедицинских сигналов

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Berlin: Springer-Verlag Berlin, 2007. — 468 p. This book deals with the acquisition and extraction of the various morphological features of the electrocardiogram signals. In the first chapters the book first presents data fusion and different data mining techniques that have been used for the cardiac state diagnosis. The second part deals with heart rate variability (HRV), a...
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Berlin: de Gruyter, 2022. — 316 p. This book explains the principles of biosignal processing and its practical applications using MatLAB. Topics include the emergence of biosignals, electrophysiology, analog and digital biosignal processing, discretization, electrodes, time and frequency analysis, analog and digital filters, fourier transformation, z-transformation, pattern...
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2nd edition. — CRC Press, 2022. — 370 p. — ISBN 978-1-032-10552-9. Covering the latest cutting-edge techniques in biomedical signal processing while presenting a coherent treatment of various signal processing methods and applications, this second edition of Practical Biomedical Signal Analysis Using MatLAB also offers practical guidance on which procedures are appropriate for...
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Boca Raton: CRC Pressm 2018. — 249 p. Of the research areas devoted to biomedical sciences, the study of the brain remains a field that continually attracts interest due to the vast range of people afflicted with debilitating brain disorders and those interested in ameliorating its effects. To discover the roots of maladies and grasp the dynamics of brain functions, researchers...
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N.-Y.: CRC Press, 2013. — 212 p. Biosignal processing has been around for decades, but it still seems to be growing in popularity. With the rise of advanced computerized data collection systems, monitoring devices, and instrumentation technologies, large and complex datasets simply accrue as an inevitable part of biomedical enterprise. The availability of large quantities of...
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New York: IGI Global, 2014. — 425 p. Electromyography (EMG) is a procedure for assessing and recording the electrical activity produced by skeletal muscles. Since the contracting skeletal muscles are greatly responsible for loading the bones and joints, information about the muscle EMG is important to gain knowledge about muscular-skeletal biomechanics. Applications, Challenges,...
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Boca Raton: CRC Press, 2022. — 224 p. Brain Computer Interface: EEG Signal Processing discusses electroencephalogram (EEG) signal processing using effective methodology and algorithms. This book provides a basic introduction to EEG and a classification of different components present in EEG. It also helps the reader to understand the scope of processing EEG signals and their...
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3rd edition. — Wiley-IEEE Press, 2024. — 721 p. Biomedical Signal Analysis provides extensive insight into digital signal processing techniques for filtering, identification, characterization, classification, and analysis of biomedical signals with the aim of computer-aided diagnosis, taking a unique approach by presenting case studies encountered in the authors’ research...
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New York: John Wiley & Sons, Ltd, 2022. — 751 p. Explore cutting edge techniques at the forefront of electroencephalogram research and artificial intelligence from leading voices in the field The newly revised Second Edition of EEG Signal Processing and Machine Learning delivers an inclusive and thorough exploration of new techniques and outcomes in electroencephalogram (EEG)...
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М.: Физматлит, 2013. — 271 с. Настоящая монография посвящена теоретическим и прикладным аспектам вейвлетного анализа. В книге подробно рассмотрены вопросы практического применения теории вейвлетов и представлен обзор фундаментальных работ, проведенных в области нейродинамики и нейрофизиологии в течение последнего десятилетия. Вводная теоретическая часть монографии использует...
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