The 2023 wearable photoplethysmography roadmap

Peter H. Charlton, John Allen, Raquel Bailón, Stephanie Baker, Joachim A. Behar, Fei Chen, Gari D. Clifford, David A. Clifton, Harry J. Davies, Cheng Ding, Xiaorong Ding, Jessilyn Dunn, Mohamed Elgendi, Munia Ferdoushi, Daniel Franklin, Eduardo Gil, Md Farhad Hassan, Jussi Hernesniemi, Xiao Hu, Nan JiYasser Khan, Spyridon Kontaxis, Ilkka Korhonen, Panicos A. Kyriacou, Pablo Laguna, Jesús Lázaro, Chungkeun Lee, Jeremy Levy, Yumin Li, Chengyu Liu, Jing Liu, Lei Lu, Danilo P. Mandic, Vaidotas Marozas, Elisa Mejía-Mejía, Ramakrishna Mukkamala, Meir Nitzan, Tania Pereira, Carmen C.Y. Poon, Jessica C. Ramella-Roman, Harri Saarinen, Md Mobashir Hasan Shandhi, Hangsik Shin, Gerard Stansby, Toshiyo Tamura, Antti Vehkaoja, Will Ke Wang, Yuan Ting Zhang, Ni Zhao, Dingchang Zheng, Tingting Zhu

Research output: Contribution to journalReview articlepeer-review

9 Scopus citations

Abstract

Photoplethysmography is a key sensing technology which is used in wearable devices such as smartwatches and fitness trackers. Currently, photoplethysmography sensors are used to monitor physiological parameters including heart rate and heart rhythm, and to track activities like sleep and exercise. Yet, wearable photoplethysmography has potential to provide much more information on health and wellbeing, which could inform clinical decision making. This Roadmap outlines directions for research and development to realise the full potential of wearable photoplethysmography. Experts discuss key topics within the areas of sensor design, signal processing, clinical applications, and research directions. Their perspectives provide valuable guidance to researchers developing wearable photoplethysmography technology.

Original languageEnglish
Article number111001
JournalPhysiological Measurement
Volume44
Issue number11
DOIs
StatePublished - 1 Nov 2023

Keywords

  • blood pressure
  • cardiovascular
  • fitness
  • physiological monitoring
  • sensor
  • signal processing
  • smartwatch

ASJC Scopus subject areas

  • Biophysics
  • Physiology
  • Biomedical Engineering
  • Physiology (medical)

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