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- Title
Mobile sensing for characterizing behavioral features and contextual factors of depression.
- Authors
Amini, Bayaneh; Kalankesh, Leila R.; Ferdousi, Reza; Farahbakhsh, Mostafa; Fatehi, Farhad
- Abstract
Background: Smartphones with a set of embedded sensors provide a practical data collection opportunity to explore new modalities of monitoring, and research of psychiatric and mental health conditions. Through utilizing mobile sensing, different features and patterns can be monitored to get more insight into different behavioral and contextual aspects of depression. Objective: This study aimed to investigate any use of mobile sensing for monitoring different parameters and features in depression. Material and Methods: A comprehensive literature review was conducted in different data bases including Scopus, PubMed, ProQuest, IEEE, EMBASE, web of science, and Cochrane. Inclusion criteria were defined for the studies. To be included in our review, studies must have been report usage of mobile sensing among patients with depression. Peer-reviewed journal papers and conference proceedings papers were included; extended abstracts were excluded. Results: A total number of 44 studies met the criteria. The most frequently used mobile sensing were GPS(n=41), phone usage(n=33), and accelerometer(n=23) followed by Wi-Fi(n=10), Microphone(n=9), Light(n=8), Bluetooth(n=5), proximity(n=2), gyroscope(n=1), and temperature(n=1) sensors. The main categories of features monitored by mobile sensing included: geographical position, activity/moving duration/time, sleep state and pattern, social interaction, Number and pattern of photos taken by mobile camera, phone usage pattern, home stay or being out of home and environmental state/context. Association between depression status and some features monitored through mobile sensing had been reported in 15 studies. Conclusion: Mobile sensing has been used in different studies for monitoring different behavioral and contextual features and patterns among patients with depression. However it appears that more randomized clinical trial studies are needed to conclude about the association between features monitored through mobile sensing and depression status.
- Subjects
PSYCHIATRIC research; BIBLIOGRAPHIC databases; PROXIMITY detectors; CLINICAL trials; ECOLOGICAL houses; GEOGRAPHICAL positions; MENTAL depression
- Publication
Journal of Biomedical Physics & Engineering, 2021, Vol 11, p221
- ISSN
2251-7200
- Publication type
Article