AUTHORS: Md. Imtiyaj Sharif, Md. Azim Khan, Ainul Anam Shahjamal Khan

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ABSTRACT: This paper presents a comparative study on the evaluation of mental stress between two groups of subjects. Mental stress influences the activity of the autonomic nervous system (ANS) which again controls the heart rate variability (HRV) signal obtained from the ECG signal. Among the subjects, group 1 contains the ECG data recorded from the students who are not examinee, while group 2 represents the students who are examinee. An ECG measurement system has been designed and implemented, by which the ECG signals from 36 university students have been recorded for 30 minutes long time. The raw ECG signal is usually contaminated by the different types of noises. Consequently, digital FIR filter has been implemented to denoise the noisy ECG signal and an algorithm has been developed in order to extract the R-R interval series. The R-R interval series undergoes the detrended fluctuation analysis (DFA) and the recurrence quantification analysis (RQA), yielding the parameters of the respective methods. Finally, the performance of the two methods on the mental stress assessment is determined by making the ANOVA test on the parameters, which shows that the RQA parameter exhibits a significant result within the level of significance (p = 0.05)

KEYWORDS: Mental stress, ECG measurement, digital FIR filter, R-R interval series, detrended fluctuation analysis (DFA), recurrence quantification analysis (RQA), ANOVA test

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