000			03285nam a22004815i 4500
001			978-1-4614-7375-6
003			DE-He213
005			20140220082829.0
007			cr nn 008mamaa
008			130812s2013 xxu| s |||| 0|eng d
020			_a9781461473756 _9978-1-4614-7375-6
024	7		_a10.1007/978-1-4614-7375-6 _2doi
050		4	_aRC681-688.2
072		7	_aMJD _2bicssc
072		7	_aMED010000 _2bisacsh
082	0	4	_a616.12 _223
100	1		_aKhandoker, Ahsan Habib. _eauthor.
245	1	0	_aPoincaré Plot Methods for Heart Rate Variability Analysis _h[electronic resource] / _cby Ahsan Habib Khandoker, Chandan Karmakar, Michael Brennan, Marimuthu Palaniswami, Andreas Voss.
264		1	_aBoston, MA : _bSpringer US : _bImprint: Springer, _c2013.
300			_aXV, 146 p. 59 illus., 19 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aPreface -- Introduction -- Quantitative Poincare plot -- Poincare plot interpretation of HRV using Physiological Model -- Poincare plot in capturing nonlinear temporal dynamics of HRV -- Heart rate asymmetry (HRA) analysis using Poincare plot -- Segmented Poincare plot Analysis (SPPA) and Lagged Segmented Poincare Plot Analysis (LSPPA) -- Index.
520			_aThe Poincaré plot (named after Henri Poincaré) is a popular two-dimensional visualization tool for dynamic systems due to its intuitive display of the dynamic properties of a system from a time series. This book presents the basis of Poincaré plot and focus especially on traditional and new methods for analysing the geometry, temporal and spatial dynamics disclosed by the Poincaré plot to evaluate heart rate variability (HRV). Mathematical descriptors of Poincaré plot have been developed to quantify the autonomic nervous system activity (sympathetic and parasympathetic modulation of heart rate). Poincaré plot analysis has also been used in various clinical diagnostic settings like diabetes, chronic heart failure, chronic renal failure and sleep apnea syndrome. The primary aims of quantification of the Poincaré plots are to discriminate healthy physiological systems from pathological conditions and to classify the stage of a disease. The HRV analysis by Poincaré plot has opened up ample opportunities for important clinical and research applications. Therefore, the present book can be used either for self-study, as a supplement to courses in linear and nonlinear systems, or as a modern monograph by researchers in this field of HRV analysis.
650		0	_aMedicine.
650		0	_aCardiology.
650		0	_aBiomedical engineering.
650	1	4	_aMedicine & Public Health.
650	2	4	_aCardiology.
650	2	4	_aBiomedical Engineering.
700	1		_aKarmakar, Chandan. _eauthor.
700	1		_aBrennan, Michael. _eauthor.
700	1		_aPalaniswami, Marimuthu. _eauthor.
700	1		_aVoss, Andreas. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781461473749
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4614-7375-6
912			_aZDB-2-SBL
999			_c95910 _d95910