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

Anurag Changmai, Upanandaa Sarmah, Amarjyoti Goswami, Anilesh Dey Published in Signal Processing

CAE Proceedings on International Conference on Computing, Communication and Sensor Network
Year of Publication: 2016
© 2015 by CAE Journal

Anurag Changmai, Upanandaa Sarmah, Amarjyoti Goswami and Anilesh Dey. Article: A Signal Processing Approach to the Reduction of Stress with the application of Music. CAE Proceedings on International Conference on Computing, Communication and Sensor Network CCSN 2015(1):29-33, March 2016. Published by Foundation of Computer Science, New York, USA. BibTeX

@article{key:article,
	author = {Anurag Changmai and Upanandaa Sarmah and Amarjyoti Goswami and Anilesh Dey},
	title = {Article: A Signal Processing Approach to the Reduction of Stress with the application of Music},
	journal = {CAE Proceedings on International Conference on Computing, Communication and Sensor Network},
	year = {2016},
	volume = {CCSN 2015},
	number = {1},
	pages = {29-33},
	month = {March},
	note = {Published by Foundation of Computer Science, New York, USA}
}

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.

References

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Keywords

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