This paper is published in Volume-4, Issue-3, 2018
Area
Instrumentation Bio Medical
Author
Anas Khan
Co-authors
Akhlaque Ahmad Khan, Qamar Alam
Org/Univ
Integral University, Lucknow, Uttar Pradesh, India
Pub. Date
03 May, 2018
Paper ID
V4I3-1226
Publisher
Keywords
HRV signal, Pan Tompkins algorithm, ECG, ANS.

Citationsacebook

IEEE
Anas Khan, Akhlaque Ahmad Khan, Qamar Alam. Human stress detection using ECG signals, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Anas Khan, Akhlaque Ahmad Khan, Qamar Alam (2018). Human stress detection using ECG signals. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.

MLA
Anas Khan, Akhlaque Ahmad Khan, Qamar Alam. "Human stress detection using ECG signals." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.

Abstract

The paper reflects upon the issue of human stress detection using Electrocardiogram (ECG) and Heart Rate Variability (HRV) signals. This includes pre-processing of ECG signal, HRV signal extraction, feature selection and their classification. Pre-processing includes removal of power line interference, baseline wanders etc. from the raw ECG. Pan-Tompkins algorithm is used for extraction HRV signal from ECG signal.The ECG is classified as stress or normal by setting the appropriate threshold value. Short term ECG needed for stress detection produces a reliable output of great accuracy.
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