mental stress assessment of a ecg signal using fuz
2016-08-23
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this code is used to find the mental stress of a person using fuzzy technic
This paper presents the evaluation of mental stress
assessment using heart rate variability. The activity of the autonomic
nervous system (ANS) is studied by means of frequency analysis of the
Electrocardiogram (ECG) signal. Spectral decomposition of the Heart
Rate 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 of
autonomic nervous system. The approach consists of 1) Recording the
ECG signals, 2) Signal processing using wavelets, 3) Fuzzy evaluation
techniques to provide robustness in ECG signal analysis, 4)
Monitoring the function of ANS under different stress conditions. Our
experiment involves 20 physically fit persons under different
conditions.
This paper presents the evaluation of mental stress
assessment using heart rate variability. The activity of the autonomic
nervous system (ANS) is studied by means of frequency analysis of the
Electrocardiogram (ECG) signal. Spectral decomposition of the Heart
Rate 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 of
autonomic nervous system. The approach consists of 1) Recording the
ECG signals, 2) Signal processing using wavelets, 3) Fuzzy evaluation
techniques to provide robustness in ECG signal analysis, 4)
Monitoring the function of ANS under different stress conditions. Our
experiment involves 20 physically fit persons under different
conditions.
matlab
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