Abstract
The present work consists of the heart rate variability (HRV) analysis of electrocardiogram (ECG) signal of 10 number of data which was taken from five participants in two different physical conditions. Acquired ECG signal is preprocessed for baseline wander (BW) removal, removal of low-frequency noise and power frequency hum. High-frequency noise is also being removed along with a smoothening filter for smoothing of the wave. The filtered signals are used for HRV analysis. HRV is associated with average heart rate (HR) tachycardia and bradycardia. Main HRV parameters like average heart rate, RR-interval, SDNN, RMSSD, NN50 are analyzed in two different physical conditions namely early and later post-exercise. In addition to HRV, the complexity analysis of the signal is also being done.
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