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Published on in Vol 7, No 5 (2019): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11930, first published .
Smartphones as Sleep Duration Sensors: Validation of the iSenseSleep Algorithm

Smartphones as Sleep Duration Sensors: Validation of the iSenseSleep Algorithm

Smartphones as Sleep Duration Sensors: Validation of the iSenseSleep Algorithm

Authors of this article:

Matteo Ciman1 Author Orcid Image ;   Katarzyna Wac1 Author Orcid Image
Article Authors Cited by (19) Tweetations (7) Metrics

Journals

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  7. Keusch F, Wenz A, Conrad F. Do you have your smartphone with you? Behavioral barriers for measuring everyday activities with smartphone sensors. Computers in Human Behavior 2022;127:107054 View
  8. Alamoudi D, Breeze E, Crawley E, Nabney I. The Feasibility of Using Smartphone Sensors to Track Insomnia, Depression, and Anxiety in Adults and Young Adults: Narrative Review. JMIR mHealth and uHealth 2023;11:e44123 View
  9. Langholm C, Byun A, Mullington J, Torous J. Monitoring sleep using smartphone data in a population of college students. npj Mental Health Research 2023;2(1) View
  10. Phillips J, Chow Y, Ogeil R. Decisional style, sleepiness, and online responsiveness. Ergonomics 2024;67(9):1177 View
  11. Lin C, Chen I, Chuang H, Wang Z, Lin H, Lin Y. Examining Human-Smartphone Interaction as a Proxy for Circadian Rhythm in Patients With Insomnia: Cross-Sectional Study. Journal of Medical Internet Research 2023;25:e48044 View
  12. Alamoudi D, Nabney I, Crawley E. Evaluating the Effectiveness of the SleepTracker App for Detecting Anxiety- and Depression-Related Sleep Disturbances. Sensors 2024;24(3):722 View
  13. Cernat A, Keusch F, Bach R, Pankowska P. Estimating Measurement Quality in Digital Trace Data and Surveys Using the MultiTrait MultiMethod Model. Social Science Computer Review 2024 View

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  1. Vaid S, Abdullah S, Thomaz E, Harari G. Measuring and Modeling Persons and Situations. View
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