Efficient QRS complex detection algorithm based on Fast Fourier Transform
Biomedical Engineering Letters
;
(4): 145-151, 2019.
Article
in English
| WPRIM
| ID: wpr-762998
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Arrhythmias, Cardiac
/
Electrocardiography
/
Fourier Analysis
/
Heart
/
Noise
Type of study:
Diagnostic study
/
Prognostic study
Language:
English
Journal:
Biomedical Engineering Letters
Year:
2019
Type:
Article
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