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020			_a9789811390975
024	7		_a10.1007/978-981-13-9097-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5102.9 _b2020 EB
245	0	0	_aBiomedical Signal Processing : _bAdvances in Theory, Algorithms and Applications _cedited by Ganesh Naik
250			_aPrimera edición 2020
264		1	_aSingapore _bSpringer _c2020
300			_a1 recurso en línea (X, 432 páginas) _b 237 ilustraciones, 125 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aSeries in BioEngineering _x2196-8861
490	0		_aEngineering (Springer-11647)
505	0		_aSurface Electromyography (EMG) Signal Processing, Classification, and Practical Considerations -- Estimation of ankle joint torque and angle based on S-EMG signal for assistive rehabilitation robots -- Force Myography and its Application to Human Locomotion -- Comparison of Independence of Triceps Brachii and Biceps Brachii between Paretic and Non-Paretic side during different MVCs-A case study -- An EEG brain-computer interface to classify motor imagery signals.
520	3		_aThis book reports on the latest advances in the study of biomedical signal processing, and discusses in detail a number of open problems concerning clinical, biomedical and neural signals. It methodically collects and presents in a unified form the research findings previously scattered throughout various scientific journals and conference proceedings. In addition, the chapters are self-contained and can be read independently. Accordingly, the book will be of interest to university researchers, R&D engineers and graduate students who wish to learn the core principles of biomedical signal analysis, algorithms, and applications, while also offering a valuable reference work for biomedical engineers and clinicians who wish to learn more about the theory and recent applications of neural engineering and biomedical signal processing. .
988			_aPrimersemestre_2020_Engineering
650		7	_2embne _9150609 _aProceso digital de señales
700	1		_aNaik, Ganesh _eeditor
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9789811390968
776	0	8	_iPrinted edition: _z9789811390982
776	0	8	_iPrinted edition: _z9789811390999
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-9097-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2020 _dz _eu _zSI