Remote HeartRate Measurement based on Signal Feature Detection in Time Domain

Bing Fei Wu, Yin Yin Yang, Bing Ruei Tsai, Po Wei Huang, Yin Cheng Tsai, Kuan Hung Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Remote-photoplethysmography (rPPG) is a contactless method which can measure Blood Volume Pulse (BVP) and several vital signals from human faces. Until now, most existing techniques depend on frequency analysis and regard the signal component with largest energy as Heart Rate (HR). Nonetheless, the property, that frequency analysis could not identify the instantaneous HR changes restricts the applications on Heart Rate Variability (HRV) analysis and Cardiac Arrhythmia Detection. Consequently, this paper proposes a time domain systolic peak selection algorithm. It reaches 89% Suc5 in stationary case and 90% Suc10 in indoor scenario which are neck and neck with frequency domain analysis. At the same time, the comparison method, Rei-En, gets Suc10 lower than 80% in both situations. We investigate the influence of dicrotic notch and utilize a concise method to prevent wrong Inter-beat interval (IBI) detection for HR and HRV estimation. Benefiting from the characteristic of time domain analysis, the first HR output could be estimated within five seconds, which is much shorter than seventeen seconds in frequency domain analysis. The results suggest that the proposed algorithm improves instantaneity and provides faster first output of rPPG in HR, HRV estimation.

Original languageEnglish
Title of host publicationProceedings of 2019 International Conference on System Science and Engineering, ICSSE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages88-93
Number of pages6
ISBN (Electronic)9781728105253
DOIs
StatePublished - Jul 2019
Event2019 International Conference on System Science and Engineering, ICSSE 2019 - Dong Hoi City, Quang Binh Province, Viet Nam
Duration: 20 Jul 201921 Jul 2019

Publication series

NameProceedings of 2019 International Conference on System Science and Engineering, ICSSE 2019

Conference

Conference2019 International Conference on System Science and Engineering, ICSSE 2019
CountryViet Nam
CityDong Hoi City, Quang Binh Province
Period20/07/1921/07/19

Keywords

  • biomedical monitoring
  • blood volume pulse (BVP)
  • heart rate variability (HRV)
  • remote-photoplethysmography (rPPG)

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  • Cite this

    Wu, B. F., Yang, Y. Y., Tsai, B. R., Huang, P. W., Tsai, Y. C., & Chen, K. H. (2019). Remote HeartRate Measurement based on Signal Feature Detection in Time Domain. In Proceedings of 2019 International Conference on System Science and Engineering, ICSSE 2019 (pp. 88-93). [8823111] (Proceedings of 2019 International Conference on System Science and Engineering, ICSSE 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSSE.2019.8823111