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Efficient QRS complex detection algorithm based on Fast Fourier Transform
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DOI：10.1007/s13534-018-0087-y.png)
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摘要
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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 (P-P) 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)
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2.8
论文数:
526
被引数:
1.5K
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