Fractional Fourier Transform Based QRS Complex Detection in ECG Signal

Abstract
By exploiting fractional-Fourier-transform (FrFT), a novel technique for the QRS complex detection is proposed. The application of the FrFT rotates the Electrocardiograph (ECG) signal in the time-frequency plane. We claim this rotation can give simple and effective QRS complex detection even in the presence of versatile artifacts, such as left-bundle-branch-block, right-bundle-branch-block, and negative polarization. In this work, in the first step, the noise and baseline drifts are removed by applying a wavelet transform on the given ECG signal. While, in the next step, the clean ECG signal is passed through the proposed algorithm, which rotates the ECG signal in the time-frequency plane and detects the QRS complex very easily. The proposed algorithm validated over the 48 signals of the MIT-BIH arrhythmia database, and it yielded 26 false-positive and only five false-negatives compared to the 80 and 42, the best result reported so far.

Citation
Yaqoob, T., Aziz, S., Ahmed, S., Amin, O., & Alouini, M.-S. (2020). Fractional Fourier Transform Based QRS Complex Detection in ECG Signal. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). doi:10.1109/icassp40776.2020.9052939

Publisher
Institute of Electrical and Electronics Engineers (IEEE)

Conference/Event Name
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

DOI
10.1109/ICASSP40776.2020.9052939

Additional Links
https://ieeexplore.ieee.org/document/9052939/https://ieeexplore.ieee.org/document/9052939/https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9052939

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