Reliability and Accuracy of the Fitbit Charge 4 Photoplethysmography Heart Rate Sensor in Ecological Conditions: Validation Study

LOA width, bias, and MAPE results found for racket sports and soccer suggest a high sensitivity to motion artifacts for activities that involve "sharp" and random arm movements. In this study, we did not measure arm motion, which limits our results. However, whereas individuals might benefit from using the FC4 for casual training in aerobic sports, we cannot recommend the use of the FC4 for specific purposes requiring high reliability and accuracy, such as research purposes.

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Publication Details

Journal
JMIR mhealth and uhealth
Published
2024-10-24
DOI
https://doi.org/10.2196/54871
Citations
8
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
1.48
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article

Reliability and Accuracy of the Fitbit Charge 4 Photoplethysmography Heart Rate Sensor in Ecological Conditions: Validation Study

Éric Hermand, H. Devanne, Maxime Ceugniez
8 citations
JMIR mhealth and uhealth
Non-Invasive Vital Sign Monitoring
1.48
article

Reliability and Accuracy of the Fitbit Charge 4 Photoplethysmography Heart Rate Sensor in Ecological Conditions: Validation Study

Éric Hermand, H. Devanne, Maxime Ceugniez
article en
8 citations

Abstract

LOA width, bias, and MAPE results found for racket sports and soccer suggest a high sensitivity to motion artifacts for activities that involve "sharp" and random arm movements. In this study, we did not measure arm motion, which limits our results. However, whereas individuals might benefit from using the FC4 for casual training in aerobic sports, we cannot recommend the use of the FC4 for specific purposes requiring high reliability and accuracy, such as research purposes.

JMIR mhealth and uhealthVol. 13
Inserm (FR), Université de Lille (FR), Sorbonne Université (FR), Université Sorbonne Paris Nord (FR), Association pour la Recherche en Physiologie de l’Environnement (FR), Unité de Recherche Pluridisciplinaire Sport, Santé, Société (FR), Université d'Artois (FR)
Zero hunger
Openalex Percentile: Top 19%
Non-Invasive Vital Sign Monitoring
1.48
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