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Periodic average magnitude difference function for remote heart rate monitoring
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  • Zhang Chi,
  • Shaoming Wei,
  • Ge Dong,
  • Yajun Zeng
Zhang Chi
Tsinghua University
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Shaoming Wei
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Ge Dong
Tsinghua University

Corresponding Author:[email protected]

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Yajun Zeng
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With the increasing attention on remote monitoring of human heart rate by radar, there is a need to develop a method that can estimate heart rate quickly and reliably. In this study, a new estimation method using a periodic average magnitude difference function (PAMDF) is proposed to estimate the heart rate from the radar signal. PAMDF advances the classical average magnitude difference function (AMDF) with the help of maximum likelihood (ML) theory. It operates in the time domain and estimates the heart rate by calculating the signal magnitude difference between all heartbeat periods. The proposed technique is more accurate than AMDF and allows rounding interpolation to improve resolution, while maintaining the low complexity advantage of AMDF. The algorithm was validated using radar data from a publicly available dataset.
19 Feb 2023Submitted to Electronics Letters
19 Feb 2023Submission Checks Completed
19 Feb 2023Assigned to Editor
01 Mar 2023Reviewer(s) Assigned
30 Mar 2023Review(s) Completed, Editorial Evaluation Pending
22 Apr 2023Editorial Decision: Revise Major
19 May 20231st Revision Received
22 May 2023Submission Checks Completed
22 May 2023Assigned to Editor
22 May 2023Review(s) Completed, Editorial Evaluation Pending
26 May 2023Editorial Decision: Accept