Cargando…
Accuracy of Fitbit Wristbands in Measuring Sleep Stage Transitions and the Effect of User-Specific Factors
BACKGROUND: It has become possible for the new generation of consumer wristbands to classify sleep stages based on multisensory data. Several studies have validated the accuracy of one of the latest models, that is, Fitbit Charge 2, in measuring polysomnographic parameters, including total sleep tim...
Autores principales: | Liang, Zilu, Chapa-Martell, Mario Alberto |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6592508/ https://www.ncbi.nlm.nih.gov/pubmed/31172956 http://dx.doi.org/10.2196/13384 |
Ejemplares similares
-
Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis
por: Haghayegh, Shahab, et al.
Publicado: (2019) -
A Multi-Level Classification Approach for Sleep Stage Prediction With Processed Data Derived From Consumer Wearable Activity Trackers
por: Liang, Zilu, et al.
Publicado: (2021) -
Elastic Textile Wristband for Bioimpedance Measurements
por: Monti, Giuseppina, et al.
Publicado: (2023) -
Sleep and BMI: Do (Fitbit) bands aid?
por: McDonald, Laura, et al.
Publicado: (2018) -
Influence of upper limb activity on the step count and accuracy of sleep time of a wristband-type physical activity tracker
por: Sano, Nobuyuki, et al.
Publicado: (2022)