Necessitated Multi-Feature Approach to Assess and Analyze Stress Among Students Using Cardiac Signal as an Eminent Indicator
6 Pages Posted: 22 Jan 2020
Date Written: January 10, 2020
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
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