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The 2023 wearable photoplethysmography roadmap.
Charlton, Peter H; Allen, John; Bailón, Raquel; Baker, Stephanie; Behar, Joachim A; Chen, Fei; Clifford, Gari D; Clifton, David A; Davies, Harry J; Ding, Cheng; Ding, Xiaorong; Dunn, Jessilyn; Elgendi, Mohamed; Ferdoushi, Munia; Franklin, Daniel; Gil, Eduardo; Hassan, Md Farhad; Hernesniemi, Jussi; Hu, Xiao; Ji, Nan; Khan, Yasser; Kontaxis, Spyridon; Korhonen, Ilkka; Kyriacou, Panicos A; Laguna, Pablo; Lázaro, Jesús; Lee, Chungkeun; Levy, Jeremy; Li, Yumin; Liu, Chengyu; Liu, Jing; Lu, Lei; Mandic, Danilo P; Marozas, Vaidotas; Mejía-Mejía, Elisa; Mukkamala, Ramakrishna; Nitzan, Meir; Pereira, Tania; Poon, Carmen C Y; Ramella-Roman, Jessica C; Saarinen, Harri; Shandhi, Md Mobashir Hasan; Shin, Hangsik; Stansby, Gerard; Tamura, Toshiyo; Vehkaoja, Antti; Wang, Will Ke; Zhang, Yuan-Ting; Zhao, Ni; Zheng, Dingchang.
Affiliation
  • Charlton PH; Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB1 8RN, United Kingdom.
  • Allen J; Research Centre for Biomedical Engineering, City, University of London, London, EC1V 0HB, United Kingdom.
  • Bailón R; Research Centre for Intelligent Healthcare, Coventry University, Coventry, CV1 5RW, United Kingdom.
  • Baker S; Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE2 4HH, United Kingdom.
  • Behar JA; Biomedical Signal Interpretation and Computational Simulation (BSICoS) Group, Aragon Institute of Engineering Research (I3A), IIS Aragon, University of Zaragoza, E-50018 Zaragoza, Spain.
  • Chen F; CIBER-BBN, Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, E-28029 Madrid, Spain.
  • Clifford GD; College of Science and Engineering, James Cook University, Cairns, 4878 Queensland, Australia.
  • Clifton DA; Faculty of Biomedical Engineering, Technion Israel Institute of Technology, Haifa, 3200003, Israel.
  • Davies HJ; Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, 518055 Guandong, People's Republic of China.
  • Ding C; Department of Biomedical Informatics, Emory University, Atlanta, GA 30322, United States of America.
  • Ding X; Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States of America.
  • Dunn J; Department of Engineering Science, University of Oxford, Oxford, OX3 7DQ, United Kingdom.
  • Elgendi M; Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, United Kingdom.
  • Ferdoushi M; Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States of America.
  • Franklin D; Department of Biomedical Engineering, Emory University, Atlanta, GA 30322, United States of America.
  • Gil E; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, People's Republic of China.
  • Hassan MF; Department of Biomedical Engineering, Duke University, Durham, NC 27708-0187, United States of America.
  • Hernesniemi J; Department of Biostatistics & Bioinformatics, Duke University, Durham, NC 27708-0187, United States of America.
  • Hu X; Duke Clinical Research Institute, Durham, NC 27705-3976, United States of America.
  • Ji N; Biomedical and Mobile Health Technology Laboratory, Department of Health Sciences and Technology, ETH Zurich, Zurich, 8008, Switzerland.
  • Khan Y; Department of Electrical and Computer Engineering, University of Southern California, 90089, Los Angeles, California, United States of America.
  • Kontaxis S; The Institute for Technology and Medical Systems (ITEMS), Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, United States of America.
  • Korhonen I; Institute of Biomedical Engineering, Translational Biology & Engineering Program, Ted Rogers Centre for Heart Research, University of Toronto, Toronto, M5G 1M1, Canada.
  • Kyriacou PA; Biomedical Signal Interpretation and Computational Simulation (BSICoS) Group, Aragon Institute of Engineering Research (I3A), IIS Aragon, University of Zaragoza, E-50018 Zaragoza, Spain.
  • Laguna P; CIBER-BBN, Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, E-28029 Madrid, Spain.
  • Lázaro J; Department of Electrical and Computer Engineering, University of Southern California, 90089, Los Angeles, California, United States of America.
  • Lee C; The Institute for Technology and Medical Systems (ITEMS), Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, United States of America.
  • Levy J; Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33720, Finland.
  • Li Y; Tampere Heart Hospital, Wellbeing Services County of Pirkanmaa, Tampere, 33520, Finland.
  • Liu C; Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, 30322, Georgia, United States of America.
  • Liu J; Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, 30322, Georgia, United States of America.
  • Lu L; Department of Computer Sciences, College of Arts and Sciences, Emory University, Atlanta, GA 30322, United States of America.
  • Mandic DP; Hong Kong Center for Cerebrocardiovascular Health Engineering (COCHE), Hong Kong Science and Technology Park, Hong Kong, 999077, People's Republic of China.
  • Marozas V; Department of Electrical and Computer Engineering, University of Southern California, 90089, Los Angeles, California, United States of America.
  • Mejía-Mejía E; The Institute for Technology and Medical Systems (ITEMS), Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, United States of America.
  • Mukkamala R; Biomedical Signal Interpretation and Computational Simulation (BSICoS) Group, Aragon Institute of Engineering Research (I3A), IIS Aragon, University of Zaragoza, E-50018 Zaragoza, Spain.
  • Nitzan M; CIBER-BBN, Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, E-28029 Madrid, Spain.
  • Pereira T; Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33720, Finland.
  • Poon CCY; Research Centre for Biomedical Engineering, City, University of London, London, EC1V 0HB, United Kingdom.
  • Ramella-Roman JC; Biomedical Signal Interpretation and Computational Simulation (BSICoS) Group, Aragon Institute of Engineering Research (I3A), IIS Aragon, University of Zaragoza, E-50018 Zaragoza, Spain.
  • Saarinen H; CIBER-BBN, Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, E-28029 Madrid, Spain.
  • Shandhi MMH; Biomedical Signal Interpretation and Computational Simulation (BSICoS) Group, Aragon Institute of Engineering Research (I3A), IIS Aragon, University of Zaragoza, E-50018 Zaragoza, Spain.
  • Shin H; CIBER-BBN, Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, E-28029 Madrid, Spain.
  • Stansby G; Digital Health Devices Division, Medical Device Evaluation Department, National Institute of Food and Drug Safety Evaluation, Ministry of Food and Drug Safety, Cheongju, 28159, Republic of Korea.
  • Tamura T; Faculty of Biomedical Engineering, Technion Israel Institute of Technology, Haifa, 3200003, Israel.
  • Vehkaoja A; Faculty of Electrical and Computer Engineering, Technion Institute of Technology, Haifa, 3200003, Israel.
  • Wang WK; State Key Laboratory of Bioelectronics, School of Instrument Science and Engineering, Southeast University, Nanjing 210096, People's Republic of China.
  • Zhang YT; State Key Laboratory of Bioelectronics, School of Instrument Science and Engineering, Southeast University, Nanjing 210096, People's Republic of China.
  • Zhao N; Analog Devices Inc, San Jose, CA 95124, United States of America.
  • Zheng D; Department of Engineering Science, University of Oxford, Oxford, OX3 7DQ, United Kingdom.
Physiol Meas ; 44(11)2023 Nov 29.
Article in En | MEDLINE | ID: mdl-37494945
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Photoplethysmography / Wearable Electronic Devices Type of study: Guideline / Prognostic_studies Language: En Journal: Physiol Meas Journal subject: BIOFISICA / ENGENHARIA BIOMEDICA / FISIOLOGIA Year: 2023 Type: Article Affiliation country: United kingdom
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Photoplethysmography / Wearable Electronic Devices Type of study: Guideline / Prognostic_studies Language: En Journal: Physiol Meas Journal subject: BIOFISICA / ENGENHARIA BIOMEDICA / FISIOLOGIA Year: 2023 Type: Article Affiliation country: United kingdom