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Statistical Analysis of Wrist Pulse Signals Obtained Under Different Food Intake Conditions

Rangaprakash, D (2014) Statistical Analysis of Wrist Pulse Signals Obtained Under Different Food Intake Conditions. In: 3rd International Conference on Communications and Signal Processing (ICCSP), APR 03-05, 2014, Melmaruvathur, INDIA.

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It is well known that wrist pulse signals contain information about the status of health of a person and hence diagnosis based on pulse signals has assumed great importance since long time. In this paper the efficacy of signal processing techniques in extracting useful information from wrist pulse signals has been demonstrated by using signals recorded under two different experimental conditions viz. before lunch condition and after lunch condition. We have used Pearson's product-moment correlation coefficient, which is an effective measure of phase synchronization, in making a statistical analysis of wrist pulse signals. Contour plots and box plots are used to illustrate various differences. Two-sample t-tests show that the correlations show statistically significant differences between the groups. Results show that the correlation coefficient is effective in distinguishing the changes taking place after having lunch. This paper demonstrates the ability of the wrist pulse signals in detecting changes occurring under two different conditions. The study assumes importance in view of limited literature available on the analysis of wrist pulse signals in the case of food intake and also in view of its potential health care applications.

Item Type: Conference Proceedings
Publisher: IEEE
Additional Information: Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Keywords: Wrist pulse signal; Pearson's correlation coefficient; Hypothesis testing
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 19 Aug 2015 07:27
Last Modified: 19 Aug 2015 07:27
URI: http://eprints.iisc.ac.in/id/eprint/52169

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