title: Roll-over detection and sleep quality measurement using a wearable sensor.
abstract: Mental health management in the workplace has attracted increasing attention in recent years. As sleep is an essential physiological function that is strongly related to mental condition, easy and daily sleep management is considered essential for maintaining good mental health. In this paper, we detected roll-over movements during sleep using a wearable armband-shaped sensor, SenseWear Pro<inf>2</inf> Armband. We then classified sleep depth into two stages, light sleep and deep sleep, based on roll-over frequency. We also propose a new index designated the Sleep Quality Score (SQS). Finally, we performed long-term measurement and compared SQS in healthy people and patients with major depression disorder.
authors.affiliation: Digital Human Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan. h.miwa@aist.go.jp
authors.forename: Hiroyasu
authors.initials: H
authors.lastname: Miwa
authors.forename: Shin-ichiro
authors.initials: S
authors.lastname: Sasahara
authors.forename: Toshihiro
authors.initials: T
authors.lastname: Matsui
mesh_terms: D003020:Clothing; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D018670:Monitoring, Ambulatory / Q000295:instrumentation* / Q000379:methods; D009068:Movement / Q000502:physiology*; D017286:Polysomnography / Q000295:instrumentation* / Q000379:methods; D012894:Sleep Stages / Q000502:physiology*; D014159:Transducers