Biomedical Engineering Letters 2019;9(1):145-151

doi:10.1007/s13534-018-0087-y

Efficient QRS complex detection algorithm based on Fast Fourier Transform

Ashish KUMAR 1 ; Ramana RANGANATHAM ; Rama KOMARAGIRI ; Manjeet KUMAR

Affiliations

+expand

Keywords

Electrocardiogram (ECG); Cardiovascular diseases (CVD); Fast Fourier Transform (FFT)

Country

Republic of Korea

Language

English

Abstract

An ECG signal, generally filled with noise, when de-noised, enables a physician to effectively determine and predict the condition and health of the heart. This paper aims to address the issue of denoising a noisy ECG signal using the Fast Fourier Transform based bandpass filter. Multi-stage adaptive peak detection is then applied to identify the R-peak in the QRS complex of the ECG signal. The result of test simulations using the MIT/BIH Arrhythmia database shows high sensitivity and positive predictivity (PP) of 99.98 and 99.96% respectively, confirming the accuracy and reliability of proposed algorithm for detecting R-peaks in the ECG signal.