ECG Feature Extraction for Stress Recognition in Automobile Drivers

Supriya Goel; Pradeep Tomar; Gurjit Kaur

Abstract

ECG Feature Extraction for Stress Recognition in Automobile Drivers

Mental stress is one of the well-known major risk factors for many diseases such as Hypertension, Coronary Artery Disease, and Heart Attack. This research paper places the emphasis on ECG signal processing for recognition of stress. Feature extraction of ECG is done with the help of lab view and then those features which are affected are classified. Results shown that ST wave, QRS wave, T wave and isoelectric level of ECG gets affected.

Author(s):

Supriya Goel, Pradeep Tomar, Gurjit Kaur

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