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Research Article Open Access
This paper reviews the methodology of detecting drowsiness of a person from Electrocardiogram (ECG) signal. ECG is one of the most important physiological biosignal which can be used to study the cardiological behavior of a person. It has become utterly essential nowadays to predict the drowsiness of a person in a situation as important as driving. The Heart Rate Variability (HRV) derived from RR interval time series from the ECG signal plays a significant role for assessment of Autonomic Nervous System (ANS). The HRV signal is subjected to spectral analysis yielding different frequency bands. The low frequency band (LF) and the high frequency band (HF) are the two main parameters which can be used to denote the drowsiness state.
ECG, QRS detection, RR Interval, Heart Rate Variability (HRV),Frequency Domain Analysis, Power Spectral Density (PSD),., Congenital Heart Defects