Indonesian Journal of Electrical Engineering and Computer Science
Vol 8, No 2: November 2017

Stress Recognition Using Photoplethysmogram Signal

Noor Hafizah Azlin Abd Halim (International Islamic University Malaysia)
Khairul Azami Sidek (International Islamic University Malaysia)
Hasmah Mansor (International Islamic University Malaysia)



Article Info

Publish Date
01 Nov 2017

Abstract

 This study proposed a novel method of stress recognition using photopletysmogram (PPG) signal. PPG devices are now widely used because it is convenient, low powered, cheap and also easy to handle due to its small size. A total of 5 subjects were involved in this study. The PPG signals were taken in resting condition using pulse oximetry. The subject then goes through a stressor test in order to record the physiological changes. The data were collected before and after the test was conducted and later extracted. These samples were then categorised using classification techniques to differentiate between normal and stress condition. Based on the experimentation results, the systolic peak value differences of normal and stress conditions are evident.Therefore, the outcome of this study suggest the reliability of implementing PPG signal for stress recognition.

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