Analysis of Stroop Color Word Test-Based Human Stress Detection using Electrocardiography and Heart Rate Variability Signals

• Published in: Arabian Journal for Science and Engineering Vol. 39; no. 3; pp. 1835 - 1847
• Main Authors: Karthikeyan, P., Murugappan, M., Yaacob, S.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2014
• Subjects: Classification; Electrocardiography; Engineering; Feature extraction; Frequency bands; Frequency domain analysis; Heart rate; Humanities and Social Sciences; multidisciplinary; Research Article - Computer Engineering and Computer Science; Science; Stresses; Wavelet; Heart rate variability (HRV); Discrete wavelet transform (DWT); K nearest neighbor (KNN); Human stress; Stroop colour word test; Electrocardiogram (ECG)

A stress assessment based on the electrocardiography (ECG) and heart rate variability (HRV) signals is described in this paper. The Stroop color word test (stressor) was used to induce stress, and the ECG signal was acquired throughout the experiment to identify the variations that are induced by th...