000			03054cam a2200481 i 4500
001			9781003201137
005			20250919150740.0
006			m q d
007			cr |n|||||||||
008			230901s2023 flu q 0|| 0 eng d
020			_a9781000906462 _q(electronic bk.)
020			_a1000906469 _q(electronic bk.)
020			_a9781003201137 _q(electronic bk.)
020			_a100320113X _q(electronic bk.)
020			_a9781000906486 _q(electronic bk. : EPUB)
020			_a1000906485 _q(electronic bk. : EPUB)
020			_z103206191X
020			_z9781032061917
024	7		_a10.1201/9781003201137 _2doi
035			_a(OCoLC)1395536990
035			_a(OCoLC-P)1395536990
040			_aOCoLC-P _beng _cOCoLC-P
050		4	_aR856
072		7	_aTEC _x059000 _2bisacsh
072		7	_aMQW _2bicssc
082	0	4	_a610.28 _223/eng/20230912
245	0	0	_aBIOMEDICAL SIGNAL PROCESSING _h[electronic resource] : _ba modern approach.
260			_a[S.l.] : _bCRC PRESS, _c2023.
300			_a1 online resource.
490	0		_aBiomedical signal and image processing
520			_aThis book presents the theoretical basis and applications of biomedical signal analysis and processing. Initially, the nature of the most common biomedical signals, such as electroencephalography, electromyography, electrocardiography and others, is described. The theoretical basis of linear signal processing is summarized, with continuous and discrete representation, linear filters and convolutions, Fourier and Wavelets transforms. Machine learning concepts are also presented, from classic methods to deep neural networks. Finally, several applications in neuroscience are presented and discussed, involving diagnosis and therapy, in addition to other applications. Features: Explains signal processing of neuroscience applications using modern data science techniques. Provides comprehensible review on biomedical signals nature and acquisition aspects. Focusses on selected applications of neurosciences, cardiovascular and muscle-related biomedical areas. Includes computational intelligence, machine learning and biomedical signal processing and analysis. Reviews theoretical basis of deep learning and state-of-the-art biomedical signal processing and analysis. This book is aimed at researchers, graduate students in biomedical signal processing, signal processing, electrical engineering, neuroscience and computer science.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aSignal processing.
650		0	_aBiomedical engineering.
700	1		_aNaik, Ganesh R.
700	1		_aSantos, Wellington Pinheiro dos.
856	4	0	_3Taylor & Francis _uhttps://eresourcesptsl.ukm.remotexs.co/user/login?url=https://www.taylorfrancis.com/books/9781003201137
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
907			_a.b17047791 _b2024-10-25 _c2024-10-15
942			_n0
998			_ae0001 _b2024-10-15 _cm _dz _feng _gflu _y0 _z.b17047791
999			_c671409 _d671409