NDLI: Improved HRV characterization using OCDWT

Content Provider	IEEE Xplore Digital Library
Author	Saini, B.S. Singh, D. Kumar, V. Deepak, K.K. Singh, J.
Copyright Year	2009
Description	Author affiliation: Department of Instrumentation & Control Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, 144011, India (Singh, D.) \|\| D. A. V. Institute of Engineering & Technology, Jalandhar, 144011, India (Singh, J.) \|\| Department of Electrical Engineering, Indian Institute of Technology, Roorkee, 247667, India (Kumar, V.) \|\| Department of Physiology, All India Institute of Medical Sciences, New Delhi, 110029, India (Deepak, K.K.) \|\| Department of Electronics & Communication Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, 144011, India (Saini, B.S.)
Abstract	In this paper an over-complete discrete wavelet transform (OCDWT) algorithm, obtained by blending two wavelet transform implementations that is redundant wavelet transform and the Mallat's multiresolution decomposition, has been proposed to retrieve the time-varying characteristics of HRV under two different postures, supine and standing. The OCDWT algorithm is critically sub-sampled to a given level of decomposition, below which it is then fully sampled. Five subjects were included to investigate posture-related HRV. The results showed that the high frequency fluctuations are larger in supine and get significantly reduced in standing in comparison to low frequency variations. Moreover, the very low frequency heart beat fluctuations during supine were greater than during standing. Further a comparative analysis has also been made between the Mallat's and OCDWT implementation in order to show the superiority of proposed algorithm.
Starting Page	420
Ending Page	423
File Size	418270
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5332643
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heart rate variability Discrete wavelet transforms Signal analysis Wavelet transforms Fluctuations Wavelet analysis Low pass filters Heart beat Resonant frequency Parasympathetic nervous system
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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