Performance of a commercial multi-sensor wearable (Fitbit Charge HR) in measuring physical activity and sleep in healthy children

Autor: Sarah M Inkelis, Ty Brumback, Kara Bagot, Massimiliano de Zambotti, Fiona C. Baker, David Wing, Michael Higgins, Guillaume Chevance, Ian M. Colrain, Kevin Patrick, Carina Pautz, Susan F. Tapert, Jeanne F. Nichols, Job G. Godino
Přispěvatelé: Faculty of Physical Education and Physical Therapy, Ferri, Raffaele
Rok vydání: 2020
Předmět:
Male
Biosensing Techniques/instrumentation
Physiology
Wearable computer
Social Sciences
Polysomnography
Biosensing Techniques
Walking
Cardiovascular
Adolescents
Biochemistry
Metabolic equivalent
Families
0302 clinical medicine
Heart Rate
Medicine and Health Sciences
Psychology
Public and Occupational Health
Child
Children
Cancer
Pediatric
screening and diagnosis
Multidisciplinary
medicine.diagnostic_test
Activity tracker
Detection
Medicine
Engineering and Technology
Female
Sleep (system call)
Sleep onset
Sleep Research
4.2 Evaluation of markers and technologies
Research Article
Biotechnology
medicine.medical_specialty
General Science & Technology
Science
Cardiology
Bioengineering
Fitness Trackers
Bioenergetics
Sitting
03 medical and health sciences
Clinical Research
Behavioral and Social Science
Heart rate
medicine
Humans
Exercise
Behavior
business.industry
Biological Locomotion
Prevention
Biology and Life Sciences
030229 sport sciences
Physical Activity
Age Groups
People and Places
Physical therapy
Medical Devices and Equipment
Population Groupings
Sedentary Behavior
business
Energy Metabolism
Sleep
Physiological Processes
030217 neurology & neurosurgery
Zdroj: PLoS ONE
PLoS ONE, Vol 15, Iss 9, p e0237719 (2020)
PloS one, vol 15, iss 9
ISSN: 1932-6203
Popis: Author(s): Godino, Job G; Wing, David; de Zambotti, Massimiliano; Baker, Fiona C; Bagot, Kara; Inkelis, Sarah; Pautz, Carina; Higgins, Michael; Nichols, Jeanne; Brumback, Ty; Chevance, Guillaume; Colrain, Ian M; Patrick, Kevin; Tapert, Susan F | Abstract: PurposeThis study sought to assess the performance of the Fitbit Charge HR, a consumer-level multi-sensor activity tracker, to measure physical activity and sleep in children.Methods59 healthy boys and girls aged 9-11 years old wore a Fitbit Charge HR, and accuracy of physical activity measures were evaluated relative to research-grade measures taken during a combination of 14 standardized laboratory- and field-based assessments of sitting, stationary cycling, treadmill walking or jogging, stair walking, outdoor walking, and agility drills. Accuracy of sleep measures were evaluated relative to polysomnography (PSG) in 26 boys and girls during an at-home unattended PSG overnight recording. The primary analyses included assessment of the agreement (biases) between measures using the Bland-Altman method, and epoch-by-epoch (EBE) analyses on a minute-by-minute basis.ResultsFitbit Charge HR underestimated steps (~11.8 steps per minute), heart rate (~3.58 bpm), and metabolic equivalents (~0.55 METs per minute) and overestimated energy expenditure (~0.34 kcal per minute) relative to research-grade measures (pl 0.05). The device showed an overall accuracy of 84.8% for classifying moderate and vigorous physical activity (MVPA) and sedentary and light physical activity (SLPA) (sensitivity MVPA: 85.4%; specificity SLPA: 83.1%). Mean estimates of bias for measuring total sleep time, wake after sleep onset, and heart rate during sleep were 14 min, 9 min, and 1.06 bpm, respectively, with 95.8% sensitivity in classifying sleep and 56.3% specificity in classifying wake epochs.ConclusionsFitbit Charge HR had adequate sensitivity in classifying moderate and vigorous intensity physical activity and sleep, but had limitations in detecting wake, and was more accurate in detecting heart rate during sleep than during exercise, in healthy children. Further research is needed to understand potential challenges and limitations of these consumer devices.
Databáze: OpenAIRE
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