Skip to main navigation Skip to search Skip to main content

Recent Progress of Optical Imaging Approaches for Noncontact Physiological Signal Measurement: A Review

  • Xinxin Zhang
  • , Menghan Hu*
  • , Yudong Zhang*
  • , Guangtao Zhai
  • , Xiao Ping Zhang
  • *Corresponding author for this work
  • East China Normal University
  • University of Leicester
  • Shanghai Jiao Tong University
  • Toronto Metropolitan University

Research output: Contribution to journalReview articlepeer-review

Abstract

In recent years, optical imaging techniques have gained wide recognition for the measurement of vital signals, such as heart rate, respiratory rate, oxygen saturation, and blood pressure, which are crucial indicators for evaluating human health conditions in clinical examinations. There is a wide range of optical imaging methods for remote physiological signal monitoring, including RGB imaging, thermal imaging, hyperspectral imaging, depth imaging, and multimodal imaging, which provide spatial information compared to other noncontact measurement approaches, thereby allowing extensive applications in this area. In this survey, some fundamental knowledge about optical imaging methods for vital signal measurement is reviewed, including principles of various optical imaging techniques, processing methods for data analysis, discussion on advantages and disadvantages, application summary, and future prospects. This is a comprehensive overview of the noncontact physiological signal measurement of optical imaging approaches.

Original languageEnglish
Article number2200345
JournalAdvanced Intelligent Systems
Volume5
Issue number9
DOIs
StatePublished - Sep 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • non-contact
  • optical imaging approaches
  • physiological signal

Fingerprint

Dive into the research topics of 'Recent Progress of Optical Imaging Approaches for Noncontact Physiological Signal Measurement: A Review'. Together they form a unique fingerprint.

Cite this