Necessitated Multi-Feature Approach to Assess and Analyze Stress Among Students Using Cardiac Signal as an Eminent Indicator

6 Pages Posted: 22 Jan 2020

See all articles by Sayanti Guha

Sayanti Guha

JIS College of Engineering

Swati Sikdar

JIS College of Engineering

Karabi Ganguly

JIS College of Engineering

Sandip Bag

JIS College of Engineering

Swastik Barat

JIS College of Engineering

Arpan Banerjee

JIS College of Engineering

Date Written: January 10, 2020

Abstract

This paper is aimed specifically at assessing the variation in ECG signal parameters in normal and stressed subjects. ECG signals basically are the bio-electric signals generated by the cardiac myocytes, the heart within the human body act as a signal generator and the signals so generated spread all across the body (volumetric conduction) and can thus be acquired non-invasively by placing surface electrodes (Ag/AgCl) on different position of the body. The primary objective of this study was to analyze the variation in the ECG signal acquired during relaxed and stressed conditions of different subjects. The time domain and time frequency domain features is extracted and classified in this extensive study. We implemented CMC DAQ hardware (consisting of as one base unit called the CMCdaq and an ECG pre-amplifier module) to carry this study out and had to employ 10 male and 10 female subjects, belonging to age group 19-22. The study was conducted on the same consenting subjects in their normal relaxed state and in the excited state (evident during the onset college semester examinations).

Keywords: Electrocardiogram, stress detection, time domain & time-frequency domain features, cardiac cycle, wavelet transform

Suggested Citation

Guha, Sayanti and Sikdar, Swati and Ganguly, Karabi and Bag, Sandip and Barat, Swastik and Banerjee, Arpan, Necessitated Multi-Feature Approach to Assess and Analyze Stress Among Students Using Cardiac Signal as an Eminent Indicator (January 10, 2020). Proceedings of Industry Interactive Innovations in Science, Engineering & Technology (I3SET2K19), Available at SSRN: https://ssrn.com/abstract=3517179 or http://dx.doi.org/10.2139/ssrn.3517179

Sayanti Guha (Contact Author)

JIS College of Engineering ( email )

Block-A, Phase-III
WEST BENGAL
Kalyani, Nadia 741235
India

Swati Sikdar

JIS College of Engineering ( email )

Kalyani
WEST BENGAL
KALYANI, 741235
India
7278864822 (Phone)
741235 (Fax)

Karabi Ganguly

JIS College of Engineering ( email )

Block-A, Phase-III
WEST BENGAL
Kalyani, Nadia 741235
India

Sandip Bag

JIS College of Engineering ( email )

Block-A, Phase-III
WEST BENGAL
Kalyani, Nadia 741235
India

Swastik Barat

JIS College of Engineering ( email )

Block-A, Phase-III
WEST BENGAL
Kalyani, Nadia 741235
India

Arpan Banerjee

JIS College of Engineering ( email )

Block-A, Phase-III
WEST BENGAL
Kalyani, Nadia 741235
India

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