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KMID : 1144120190090010145
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Biomedical Engineering Letters
2019 Volume.9 No. 1 p.145 ~ p.151
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Efficient QRS complex detection algorithm based on Fast Fourier Transform
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Kumar Ashish
Ranganatham Ramana
Komaragiri Rama
Kumar Manjeet
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Abstract
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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.
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KEYWORD
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Electrocardiogram (ECG), Cardiovascular diseases (CVD), Fast Fourier Transform (FFT)
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