Biomed Eng Lett.  2019 Feb;9(1):145-151. 10.1007/s13534-018-0087-y.

Efficient QRS complex detection algorithm based on Fast Fourier Transform

• Kumar A
• Ranganatham R
• Komaragiri R
• Kumar M

• KMID: 2448404
• DOI: http://doi.org/10.1007/s13534-018-0087-y

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.

Keyword

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

MeSH Terms

Arrhythmias, Cardiac
Electrocardiography
Fourier Analysis*
Heart
Noise