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Identification and prediction of stress using existing data processing methodologies are incompetent to predict the stress either in real time or laboratory based experiments. The main aim of this work is to classify the stress. The appropriate signal processing methodology, (i) to analyze the Electrocardiogram (ECG) signal for normal and stress condition and (ii) to derive the optimum features from a set of statistical features over frequency band. This paper represent method to find outdoi:10.14257/ijbsbt.2015.7.5.26 fatcat:7d62fk3la5ditdkmziwsczbg7a