Accepted for/Published in: JMIR mHealth and uHealth
Date Submitted: Aug 13, 2018
Open Peer Review Period: Sep 11, 2018 - Oct 13, 2018
Date Accepted: Mar 30, 2019
(closed for review but you can still tweet)
iSenseSleep: Smartphone as a Sleep Duration Sensor
ABSTRACT
Background:
Smartphones are getting more and more ubiquitous every day, and are getting closer to our everyday life, being the last thing used before going to sleep and the first one after waking up. This strong correlation between our lifestyle choices and smartphone interaction patterns enables to use them as sensors for sleep duration assessment, to understand individuals' lifestyle and sleep patterns.
Objective:
In this paper, we present the iSenseSleep algorithm for sleep duration assessment based only on the analysis of the user's interaction with his/her smartphone.
Methods:
We have used a smartwatch sleep assessment data as a ground truth. Results were acquired with 14 different subjects acquiring data for up to 6 months each.
Results:
Results show that based on the smartphone ON-OFF patterns, individual’s sleep duration can be estimated with an average error of 24 ± 17 minutes (7 ± 4% of the total duration) enabling an estimate of sleep start and wake-up times, as well as sleep deprivation patterns.
Conclusions:
It is possible to estimate sleep duration patterns using only data related to smartphone screen interaction. Clinical Trial: Study protocol “Understanding Diverse Factors Influencing Individuals’ Sleep Quality And Smartphone-Based Ubiquitous Assessment Of Individual Sleep Patterns”: Protocol 2015-15-0117/519-0019/15-5000 approved by the Institutional Review Board, Faculty of Science, University of Copenhagen, Denmark; Protocol Director: Prof. K. Wac, Active since 2016.
Citation
Per the author's request the PDF is not available.
Copyright
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