Analysis of Wrist Pulse Signals Using Spatial Features in Time Domain

Rangaprakash, D and Dutt, Narayana D (2014) Analysis of Wrist Pulse Signals Using Spatial Features in Time Domain. In: 3rd International Conference on Communications and Signal Processing (ICCSP), APR 03-05, 2014, Melmaruvathur, INDIA.

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Abstract

Wrist pulse signal contains more important information about the health status of a person and pulse signal diagnosis has been employed in oriental medicine since very long time. In this paper we have used signal processing techniques to extract information from wrist pulse signals. For this purpose we have acquired radial artery pulse signals at wrist position noninvasively for different cases of interest. The wrist pulse waveforms have been analyzed using spatial features. Results have been obtained for the case of wrist pulse signals recorded for several subjects before exercise and after exercise. It is shown that the spatial features show statistically significant changes for the two cases and hence they are effective in distinguishing the changes taking place due to exercise. Support vector machine classifier is used to classify between the groups, and a high classification accuracy of 99.71% is achieved. Thus this paper demonstrates the utility of the spatial features in studying wrist pulse signals obtained under various recording conditions. The ability of the model to distinguish changes occurring under two different recording conditions can be potentially used for 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; Spatial features; Support vector machine
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	19 Aug 2015 07:24
Last Modified:	19 Aug 2015 07:24
URI:	http://eprints.iisc.ac.in/id/eprint/52168

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