| خلاصه مقاله | 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. |