Rationale and design of a large population study to validate software for the assessment of atrial fibrillation from data acquired by a consumer tracker or smartwatch: The Fitbit heart study

[Display omitted] Early detection of atrial fibrillation or flutter (AF) may enable prevention of downstream morbidity. Consumer wrist-worn wearable technology is capable of detecting AF by identifying irregular pulse waveforms using photoplethysmography (PPG). The validity of PPG-based software alg...

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Vydané v:	The American heart journal Ročník 238; s. 16 - 26
Hlavní autori:	Lubitz, Steven A., Faranesh, Anthony Z., Atlas, Steven J., McManus, David D., Singer, Daniel E., Pagoto, Sherry, Pantelopoulos, Alexandros, Foulkes, Andrea S.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Elsevier Inc 01.08.2021 Elsevier Limited
Predmet:	Algorithms Cardiac arrhythmia Computer programs Consent Data acquisition EKG Enrollments Fibrillation Flutter Heart Heart rate Morbidity Participation Population studies Population-based studies Rhythm Sensors Smart devices Smartphones Smartwatches Software Telemedicine Waveforms Wearable computers Wearable technology Wrist United States > US
ISSN:	0002-8703, 1097-6744, 1097-6744
On-line prístup:	Získať plný text
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