Nowadays, heart rate variability (HRV) is an important tool for the analysis of the activities of nervous system in medical Science. Electrocardiogram (ECG) is graphical representation of electrical activity of human heart. The various peaks of ECG can be utilized to detect and analyse mental stress of the brain. It varies with other parameters of healthy/abnormal human. This paper presents the evaluation of heart rate variability using fast Fourier transform (FFT). The R peak in ECG waveform has been detected using FFT filter in two stages and used for the measurement of HRV to analyze the cardiac status and mental stress of the subject. For this detection, various process stages are used i.e. original ECG, FFT filtered ECG, filtered ECG 1st pass, detected peaks, FILTERED ECG 2nd pass and detected peaks finally. For filtering the ECG signal, FFT is used at stage 1 pass and 2nd pass.Keywords: ECG, heart rate, FFTCite this Article: Manju Devi, Ravish Garg. Measurement of Heart Rate Variability using FFT. Recent Trends in Sensor Research & Technology. 2016; 3(3): 10–20p.
