000			03291nam a2200385 i 4500
005			20250919000731.0
008			141009t20132013flua b a001 0 eng
020			_a9781439871430 _q(hardback) _cRM390.45
020			_a1439871434 _q(hardcover)
039		9	_a201504161126 _brosli _c201504131027 _dzabidah _y10-09-2014 _zzabidah
040			_aDNLM/DLC _beng _cDLC _dYDX _dBTCTA _dNLM _dUKMGB _dOCLCO _dYDXCP _dOCLCO _dUtOrBLW _dUKM _erda
090			_aRC386.6.B7B536 3
090			_aRC386.6.B7 _bB536 3
245	0	0	_aBiosignal processing : _bprinciples and practices / _cedited by Hualou Liang, Joseph D. Bronzino, Donald R. Peterson.
264		1	_aBoca Raton, Fl. : _bCRC Press, _c2013.
264		4	_c©2013.
300			_a1 volume (various pagings) : _billustrations (some colour) ; _c26 cm.
504			_aIncludes bibliographical references and index.
520			_a'This book provides state-of-the-art coverage of contemporary methods in biosignal processing, with emphasis on brain signal analysis. The topics covered in this book reflect an ongoing evolution in biosignal processing. As biomedical data sets grow larger and more complicated, emerging signal processing methods to analyze and interpret these data have gained in importance. This book discusses the process for biosignal analysis and stimulates new ideas and opportunities for developing cutting-edge computational methods for biosignal processing, which will in turn accelerate laboratory discoveries into treatments for patients. Provides a general overview of basic concepts in biomedical signal acquisition and processing. Discusses nonstationary and transient nature of signals by introducing time-frequency analysis and its applications to signal analysis and detection problems in bioengineering. Covers emerging methods for brain signal processing, each focusing on specific non-invasive imaging techniques such as electroencephalography (EEG), magnetoencephalography (MEG), magnetic resonance imaging (MRI) and functional near-infrared spectroscopy (fNIR). Explores a multivariate spectral analysis of EEG data using power, coherence and second-order blind identification. Introduces a general linear modeling approach for the analysis of induced and evoked response in MEG. Presents the progress in groupwise registration algorithms for effective MRI medical image analysis. Examines the basis of optical imaging, fNIR instrumentation and signal analysis in various cognitive studies. Reviews recent advances of causal influence measures such as Granger causality for analyzing multivariate neural data'--Provided by publisher.
650		0	_aBrain Mapping.
650		0	_aNeurophysiology.
650		0	_aBiosensors.
650		0	_aSignal processing.
700	1		_aLiang, Hualou, _eeditor.
700	1		_aBronzino, Joseph D., _d1937-, _eeditor.
700	1		_aPeterson, Donald R., _eeditor.
907			_a.b16004735 _b2019-11-12 _c2019-11-12
942			_c01 _n0 _kRC386.6.B7B536 3
914			_avtls003571057
990			_ark4
991			_aFakulti Kejuruteraan dan Alam Bina
998			_al _b2014-09-10 _cm _da _feng _gflu _y0 _z.b16004735
999			_c579759 _d579759