Open AccessEvaluation of Sleep Parameters and Sleep Staging (Slow Wave Sleep) in Athletes by Fitbit Alta HR, a Consumer Sleep Tracking Device
Author(s) -
Yu Kawasaki,
Takatoshi Kasai,
Yuko Sakurama,
Akiko Sekiguchi,
Eri Kitamura,
Itsuki Midorikawa,
Nanako Shiroshita,
Fusae Kawana,
Etsuko Ogasawara,
Mari Kitade,
Natsue Koikawa,
Takao Matsuda
Publication year - 2022
Publication title -
nature and science of sleep
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.715
H-Index - 34
ISSN - 1179-1608
DOI - 10.2147/nss.s351274
Subject(s) - sleep (system call) , medicine , electroencephalography , athletes , sleep stages , wearable computer , polysomnography , physical therapy , physical medicine and rehabilitation , audiology , computer science , psychiatry , embedded system , operating system
Sleep is an essential factor for athletes, and it is important to intervene in sleep to manage it. We need a device that can evaluate sleep easily and constantly. Consumer wearable devices can be useful tools for athletes. In order to use consumer wearable devices in clinical research, it is essential to conduct a validation study. Thus, we conducted a validation study to assess the Fitbit Alta HR TM (FBA)- a consumer wearable device with an accelerometer and a heart rate monitor to detect sleep stages and quality against electroencephalographic (EEG) studies in athletes.