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Development of Real-time QRS-complex Detection Algorithm for Portable ECG Measurement Device

휴대용 심전도 측정장치를 위한 실시간 QRS-complex 검출 알고리즘 개발

  • An, Hwi (Department of Electronics Engineering, Hanbat National University) ;
  • Shim, Hyoung-Jin (Department of Electronics Engineering, Hanbat National University) ;
  • Park, Jae-Soon (Department of Electronics Engineering, Hanbat National University) ;
  • Lhm, Jong-Tae (Department of Industry University Convergence, Hanbat National University) ;
  • Joung, Yeun-Ho (Department of Electronics Engineering, Hanbat National University)
  • 안휘 (한밭대학교 전자공학과) ;
  • 심형진 (한밭대학교 전자공학과) ;
  • 박재순 (한밭대학교 전자공학과) ;
  • 임종태 (한밭대학교 산업융합학부) ;
  • 정연호 (한밭대학교 전자공학과)
  • Received : 2022.07.29
  • Accepted : 2022.08.24
  • Published : 2022.08.31

Abstract

In this paper, we present a QRS-complex detection algorithm to calculate an accurate heartbeat and clearly recognize irregular rhythm from ECG signals. The conventional Pan-Tompkins algorithm brings false QRS detection in the derivative when QRS and noise signals have similar instant variation. The proposed algorithm uses amplitude differences in 7 adjacent samples to detect QRS-complex which has the highest amplitude variation. The calculated amplitude is cubed to dominate QRS-complex and the moving average method is applied to diminish the noise signal's amplitude. Finally, a decision rule with a threshold value is applied to detect accurate QRS-complex. The calculated signals with Pan-Tompkins and proposed algorithms were compared by signal-to-noise ratio to evaluate the noise reduction degree. QRS-complex detection performance was confirmed by sensitivity and the positive predictive value(PPV). Normal ECG, muscle noise ECG, PVC, and atrial fibrillation signals were achieved which were measured from an ECG simulator. The signal-to-noise ratio difference between Pan-Tompkins and the proposed algorithm were 8.1, 8.5, 9.6, and 4.7, respectively. All ratio of the proposed algorithm is higher than the Pan-Tompkins values. It indicates that the proposed algorithm is more robust to noise than the Pan-Tompkins algorithm. The Pan-Tompkins algorithm and the proposed algorithm showed similar sensitivity and PPV at most waveforms. However, with a noisy atrial fibrillation signal, the PPV for QRS-complex has different values, 42% for the Pan-Tompkins algorithm and 100% for the proposed algorithm. It means that the proposed algorithm has superiority for QRS-complex detection in a noisy environment.

Keywords

Acknowledgement

본 연구는 정부(과학기술정보통신부, 산업통상자원부, 보건복지부, 식품의약품안전처)의 재원으로 범부처전주기의료기기연구개발사업단의 지원을 받아 수행된 연구임(과제고유번호 : 1711138216, KMDF_PR_20200901_0118).

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