510 / 2019-03-04 01:10:21
A 0.45-V 70-nW QRS Detector Using Decimated Quadratic Spline Wavelet Transform and Window-based Extrema Difference Techniques
ECG,Low-power,QRS Detector,Decimation,Quadratic Spline Wavelet Transform,Window-based,Extrema Difference Curve
终稿
Ruping Xiao / University of Macau
Mingzhong Li / University of Macau
Man-Kay Law / University of Macau
Pui-In Mak / University of Macau
Rui P. Martins / University of Macau
This work presents a 70-nW QRS detector implemented in 0.45-V 0.18-μm CMOS technology. The algorithm is optimized with decimated quadratic spline wavelet transform (DQSWT) and window-based extrema difference curve (WEDC). The DQSWT achieves up to 60% computational unit reduction when compared to the conventional method, while the WEDC enhances the QRS detection accuracy while maintaining a low computational complexity. Combined with a decision-making stage with simple mechanism, the proposed algorithm achieves a sensitivity of 99.62% and a precision of 99.70% in MIT-BIH arrhythmia database.
重要日期
  • 会议日期

    06月12日

    2019

    06月14日

    2019

  • 06月12日 2019

    初稿截稿日期

  • 06月14日 2019

    注册截止日期

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