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Diagnosis of Mental Stress using Statistical Analysis and Wavelet Transformation of Electrocardiogram (ECG) Signal

Abstract : The present work deals with the method to distinguish ECG signal of a normal person and mentally stressed person. Time series analysis and unit root test has been applied to established that they are auto regressive (AR) and non stationary process. A generalized deterministic mathematical model of the normal and mentally stressed patient has also been suggested by applying the Yule Walker method. Hence the wavelet transform based Semblance analysis has been applied to extract features from the ECG signals.

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