Noise Reduction Technique for Single-Color Video Plethysmography Using Singular Spectrum Analysis

Norihiro Sugita, Metin Akay, Yasemin M. Akay, Makoto Yoshizawa

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


Recently, a contactless method for measuring a biological signal using a video camera has garnered attention. Especially, video plethysmography, a technique for obtaining a pulse wave from a video, is useful for managing the health of people on a daily basis. However, any body movement of a person subjected to the measurement leads to the generation of irregular noise in video plethysmography and reduces the accuracy of the recorded biological information, e.g., heart rate, during the measurement. Blind source separation is a popular technique for eliminating noise from the results of video plethysmography comprising different multiple-color channels. However, it is difficult to apply this technique to a single-color video such as a near-infrared video. Herein, a new method that combines singular spectrum analysis with the circular autocorrelation function is introduced to eliminate irregular noise in single-color video plethysmography. Applying the proposed method on videos collected from 39 individuals improved the estimation accuracy of instantaneous heart rate by approximately 44% over a conventional method using a linear filter. Furthermore, the proposed method also enabled more precise estimations of the heart rate than that achieved using multi-color video plethysmography.

Original languageEnglish
Article number8892542
Pages (from-to)1788-1795
Number of pages8
JournalIEEE Journal of Biomedical and Health Informatics
Issue number6
Publication statusPublished - 2020 Jun


  • Single-color video
  • instantaneous heart rate
  • singular spectrum analysis
  • video plethysmogram

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Health Information Management


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