Detecting cardiac states with wearable photoplethysmograms and implications for out-of-hospital cardiac arrest detection

Out-of-hospital cardiac arrest (OHCA) is a global health problem affecting approximately 4.4 million individuals yearly. OHCA has a poor survival rate, specifically when unwitnessed (accounting for up to 75% of cases). Rapid recognition can significantly improve OHCA survival, and consumer wearables...

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Vydané v:	Scientific reports Ročník 14; číslo 1; s. 23185 - 16
Hlavní autori:	Khalili, Mahsa, Lingawi, Saud, Hutton, Jacob, Fordyce, Christopher B., Christenson, Jim, Shadgan, Babak, Grunau, Brian, Kuo, Calvin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 05.10.2024 Nature Publishing Group Nature Portfolio
Predmet:	631/114/1305 631/1647/1888 639/166/985 Body measurements Cardiac arrest Cardiovascular Monitoring Classification Data acquisition Finger Global health Heart rate Humanities and Social Sciences Humans Machine learning Monitoring, Physiologic - methods multidisciplinary Occlusion Out-of-hospital cardiac arrest Out-of-Hospital Cardiac Arrest - diagnosis Photoplethysmography Photoplethysmography - methods Public health Science Science (multidisciplinary) Survival Wearable biosensors Wearable Electronic Devices Wrist Out-of-hospital cardiac arrest Wearable biosensors Photoplethysmography Cardiovascular Monitoring
ISSN:	2045-2322, 2045-2322
On-line prístup:	Získať plný text
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