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Efficient QRS complex detection algorithm based on Fast Fourier Transform

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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.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Bennett University, Greater Noida, UP, 201310, India

    Ashish Kumar, Ramana Ranganatham, Rama Komaragiri & Manjeet Kumar

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  1. Ashish Kumar
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  2. Ramana Ranganatham
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  3. Rama Komaragiri
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  4. Manjeet Kumar
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Correspondence to Manjeet Kumar.

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Authors Ashish Kumar, Rama Komaragiri and Manjeet Kumar declares that they have no conflict of interest.

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This article does not contain any studies with human participants or animals performed by any of the authors.

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Kumar, A., Ranganatham, R., Komaragiri, R. et al. Efficient QRS complex detection algorithm based on Fast Fourier Transform. Biomed. Eng. Lett. 9, 145–151 (2019). https://doi.org/10.1007/s13534-018-0087-y

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  • DOI: https://doi.org/10.1007/s13534-018-0087-y

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