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Evaluation of ECG Signals for Mental Stress Assessment using Fuzzy Technique


Journal: International Journal of Soft Computing & Engineering
ISSN 2231-2307

Volume: 1;
Issue: 4;
Start page: 195;
Date: 2011;
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Keywords: Adaptive Neuro Fuzzy Inference System (ANFIS) | Non-linear System | Electrocardiogram (ECG) | Autonomic Nervous System(ANS)

This paper presents the evaluation of mental stressassessment using heart rate variability. The activity of the autonomicnervous system (ANS) is studied by means of frequency analysis of theElectrocardiogram (ECG) signal. Spectral decomposition of the HeartRate Variability before smoking and after smoking was obtained.Mental stress is accompanied by dynamic changes in ANS activity.ECG signal analysis is popular for assessing the activities ofautonomic nervous system. The approach consists of 1) Recording theECG signals, 2) Signal processing using wavelets, 3) Fuzzy evaluationtechniques to provide robustness in ECG signal analysis, 4)Monitoring the function of ANS under different stress conditions. Ourexperiment involves 20 physically fit persons under differentconditions. Fuzzy technique has been used to model the experimentaldata.
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