Efficient QRS complex detection algorithm based on Fast Fourier Transform
10.1007/s13534-018-0087-y
- Author:
Ashish KUMAR
1
;
Ramana RANGANATHAM
;
Rama KOMARAGIRI
;
Manjeet KUMAR
Author Information
1. Department of Electronics and Communication Engineering, Bennett University, Greater Noida, UP 201310, India. manjeetchhillar@gmail.com, akumar.1june@gmail.com, ramana.ranganatham@bennett.edu.in, rama.komaragiri@bennett.edu.in
- Publication Type:Original Article
- Keywords:
Electrocardiogram (ECG);
Cardiovascular diseases (CVD);
Fast Fourier Transform (FFT)
- MeSH:
Arrhythmias, Cardiac;
Electrocardiography;
Fourier Analysis;
Heart;
Noise
- From:
Biomedical Engineering Letters
2019;9(1):145-151
- CountryRepublic 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.
