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A Signal Processing Approach to the Reduction of Stress with the application of Music

Published on March 2016 by Anurag Changmai, Upanandaa Sarmah, Amarjyoti Goswami, Anilesh Dey
CAE Proceedings on International Conference on Computing
Foundation of Computer Science USA
CCSN2015 - Number 1
March 2016
Authors: Anurag Changmai, Upanandaa Sarmah, Amarjyoti Goswami, Anilesh Dey
32ce1a48-7da9-41cb-b1a2-e9e3c952e133

Anurag Changmai, Upanandaa Sarmah, Amarjyoti Goswami, Anilesh Dey . A Signal Processing Approach to the Reduction of Stress with the application of Music. CAE Proceedings on International Conference on Computing. CCSN2015, 1 (March 2016), 0-0.

@article{
author = { Anurag Changmai, Upanandaa Sarmah, Amarjyoti Goswami, Anilesh Dey },
title = { A Signal Processing Approach to the Reduction of Stress with the application of Music },
journal = { CAE Proceedings on International Conference on Computing },
issue_date = { March 2016 },
volume = { CCSN2015 },
number = { 1 },
month = { March },
year = { 2016 },
issn = 2394-4714,
pages = { 0-0 },
numpages = 1,
url = { /proceedings/ccsn2015/number1/555-1530/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 CAE Proceedings on International Conference on Computing
%A Anurag Changmai
%A Upanandaa Sarmah
%A Amarjyoti Goswami
%A Anilesh Dey
%T A Signal Processing Approach to the Reduction of Stress with the application of Music
%J CAE Proceedings on International Conference on Computing
%@ 2394-4714
%V CCSN2015
%N 1
%P 0-0
%D 2016
%I Communications on Applied Electronics
Abstract

In the modern society, the negative impacts of stress and anxiety have been very apparent. So reduction of stress and its after-effects is a very important facet of studies on the human mind. It has been widely seen that music has a mitigating impact on the effects of stress and anxiety. This article deals with the issue of reduction of stress, through a signal processing viewpoint. As a method of studying the effects of stress and anxiety, we have taken the HRV (heart rate variability) signals obtained from the subjects in two stages: first, when the subjects are solving puzzles, and second, in a post-music state. These signals have been analysed using 2-D Poincaré plots which have shown satisfactory results from a mathematical, as well as human physiological point of view.

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Index Terms

Computer Science
Information Sciences

Keywords

2-D Poincaré plots HRV Signal Stress Condition Post-Music Condition.