128129 20250121144847.0 doi 10.1088/1361-6579/acead2 sideral 135341 ART-2023-135341 eng Charlton, Peter H The 2023 wearable photoplethysmography roadmap 2023 Access copy available to the general public Unrestricted 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. info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.3 2023 BIOPHYSICS 48 / 77 = 0.623 2023 Q3 T2 PHYSIOLOGY 44 / 85 = 0.518 2023 Q3 T2 ENGINEERING, BIOMEDICAL 76 / 123 = 0.618 2023 Q3 T2 0.544 2023 Biophysics 2023 Q2 Physiology (medical) 2023 Q3 Physiology 2023 Q3 Biomedical Engineering 2023 Q3 5.5 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Allen, John Bailon, Raquel Universidad de Zaragoza (orcid)0000-0003-1272-0550 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 Universidad de Zaragoza (orcid)0000-0001-7285-0715 Hassan, Md Farhad Hernesniemi, Jussi Hu, Xiao Ji, Nan Khan, Yasser Kontaxis, Spyridon Universidad de Zaragoza (orcid)0000-0002-1297-0691 Korhonen, Ilkka Kyriacou, Panayiotis A Laguna, Pablo Universidad de Zaragoza (orcid)0000-0003-3434-9254 Lazaro, Jesus Universidad de Zaragoza (orcid)0000-0001-8742-0072 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, Tânia 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 Zhu, Tingting 5007 520 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Ingen.Sistemas y Automát. 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 44, 11 (2023), 111001 [90 pp.] Physiol. meas. PHYSIOLOGICAL MEASUREMENT 0967-3334 5430580 http://zaguan.unizar.es/record/128129/files/texto_completo.pdf Versión publicada 585155 http://zaguan.unizar.es/record/128129/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:128129 articulos driver 2025-01-21-14:47:51 ARTICLE