Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/40730
Title: Study of hidden dynamics of heart Rate variability and computation of Nonlinear parameters of heart rate Variability
Researcher: Rao T V K H
Guide(s): Ravindran G
Keywords: Arkov model
Heart rate variability
Upload Date: 9-May-2015
University: Anna University
Completed Date: 01/08/2014
Abstract: Normal heart rates range between 60 to 100 beats per minute at rest newlineHeart rate variability HRV indicates the beat to beat alterations in heart rate newlineIt was confirmed that HRV is a strong and independent predictor of mortality newlineafter an acute myocardial infarction The heart s normal beats are from newlineimpulses from pacemaker cells in the sinus node newlineLinear measures of HRV includes various time and frequency domain newlineIndices Even though there are many well established linear HRV analysis newlineTools the methods from nonlinear theory may provide more information and newlinediagonostic potential It has been speculated that methods from nonlinear newlinedynamics may provide a powerful tool for better understanding the newlinemechanisms of cardiovascular control newlineA M arkov model is a random process in which the transition newlineprobability to the next state depends solely on the previous state Performing newlinethe analysis by using higher order cumulants a meaningful measure of the newlinestatistical dependency between N past observations of the time series xt and newlinea point r steps ahead in the future newline
Pagination: xxv, 206p.
URI: http://hdl.handle.net/10603/40730
Appears in Departments:Faculty of Information and Communication Engineering

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07_chapter2.pdf47.28 kBAdobe PDFView/Open
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14_chapter9.pdf366.4 kBAdobe PDFView/Open
15_chapter10.pdf1.11 MBAdobe PDFView/Open
16_chapter11.pdf14.85 kBAdobe PDFView/Open
17_reference.pdf40.62 kBAdobe PDFView/Open
18_publication.pdf5.32 kBAdobe PDFView/Open
19_vitae.pdf5.26 kBAdobe PDFView/Open


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