Development of medical device software for the screening and assessment of depression severity using data collected from a wristband-type wearable device: SWIFT study protocol

Development of medical device software for the screening and assessment of depression severity using data collected from a wristband-type wearable device: SWIFT study protocol

IntroductionFew biomarkers can be used clinically to diagnose and assess the severity of depression. However, a decrease in activity and sleep efficiency can be observed in depressed patients, and recent technological developments have made it possible to measure these changes. In addition, physiolo...

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Bibliographic Details
Main Authors: Taishiro Kishimoto, Shotaro Kinoshita, Toshiaki Kikuchi, Shogyoku Bun, Momoko Kitazawa, Toshiro Horigome, Yuki Tazawa, Akihiro Takamiya, Jinichi Hirano, Masaru Mimura, Kuo-ching Liang, Norihiro Koga, Yasushi Ochiai, Hiromi Ito, Yumiko Miyamae, Yuiko Tsujimoto, Kei Sakuma, Hisashi Kida, Gentaro Miura, Yuko Kawade, Akiko Goto, Fumihiro Yoshino
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Psychiatry
Subjects:
machine learning
depression
wearables
personalized medicine
digital health
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2022.1025517/full

Internet

https://www.frontiersin.org/articles/10.3389/fpsyt.2022.1025517/full

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