R-Peak Detection by Modified Pan-Tompkins Algorithm

Abstract

Electrocardiogram (ECG) analysis and its interpretation are performed by signal processing in majority of the systems. The objective of the ECG signal is diversified and encompasses the enhancement of measurement accuracy. In some cases, the ECG is recorded in peripatetic and exhausting conditions as a result the ECG signals are contaminated by various types of noise, which originates from different physiological process of the body. Thus, noise reduction [1] also plays an important role in ECG signal processing. Sometimes, ECG signal are strongly masked with the noise, in order to remove the noise we have to perform relevant Signal processing. In this paper, R-peaks of recorded ECG signals are detected by using modified PAN- Tompkins algorithm and RR-interval is also calculated which helps in any further classifications.