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Efficient QRS complex detection algorithm based on Fast Fourier Transform
, R. Ranganatham, R. Komaragiri, M. Kumar
Published in Springer Verlag
Volume: 9
Issue: 1
Pages: 145 - 151
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. © 2018, Korean Society of Medical and Biological Engineering and Springer-Verlag GmbH Germany, part of Springer Nature.
About the journal
JournalData powered by TypesetBiomedical Engineering Letters
PublisherData powered by TypesetSpringer Verlag