Title: Complexity analysis of wrist pulse signals

Authors: Bhaskar Thakker; Anoop Lal Vyas; Diwakar Mani Tripathi

Addresses: Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India ' Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India ' New Delhi Municipal Council, Sarojini Nagar, New Delhi 110023, India

Abstract: Pulse pressure signals observed over radial artery have been utilised as bio-medical signals for health diagnosis as described by ancient Indian medicine where Vata, Pitta and Kapha are believed as three basic elements regulating the health conditions. Complexity analysis of all the six pulse signals has been carried out using Entropy for healthy and unhealthy subjects suffering from Gastrointestinal disorders. Complexity and its variability within pulse segments are found to be significantly higher in Vata pulse signal of both the hands. The findings are correlated with the principles described in Ayurveda for Vata element.

Keywords: ayurveda; approximate entropy; sample entropy; pulse segments; mean entropy series; SES; standard deviation entropy series; wrist pulse signals; biomedical signals; gastrointestinal disorders; Vata.

DOI: 10.1504/IJBET.2012.047750

International Journal of Biomedical Engineering and Technology, 2012 Vol.9 No.2, pp.188 - 199

Published online: 12 Dec 2014 *

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