Mobile sensing for characterizing behavioural features and contextual factors of depression

Mobile sensing for characterizing behavioural features and contextual factors of depression


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صفحه نخست سامانه
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نویسندگان
اطلاعات تفضیلی
اطلاعات تفضیلی
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دانشگاه علوم پزشکی تبریز
دانشگاه علوم پزشکی تبریز

نویسندگان: بیانه امینی , لیلا راننده کلانکش , رضا فردوسی , مصطفی فرح بخش

عنوان کنگره / همایش: 4th Shiraz International Congress on Mobile Health , , Shiraz , 2021

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دانشکده/مرکز مربوطه دانشکده مدیریت و اطلاع رسانی پزشکی
کد مقاله 76327
عنوان فارسی مقاله Mobile sensing for characterizing behavioural features and contextual factors of depression
عنوان لاتین مقاله Mobile sensing for characterizing behavioural features and contextual factors of depression
نوع ارائه پوستر
عنوان کنگره / همایش 4th Shiraz International Congress on Mobile Health
نوع کنگره / همایش بین المللی
کشور محل برگزاری کنگره/ همایش
شهر محل برگزاری کنگره/ همایش Shiraz
سال انتشار/ ارائه شمسی 1400
سال انتشار/ارائه میلادی 2021
تاریخ شمسی شروع و خاتمه کنگره/همایش 1400/02/26 الی 1400/02/28
آدرس لینک مقاله/ همایش در شبکه اینترنت
آدرس علمی (Affiliation) نویسنده متقاضی School of Management and Medical Informatics, Tabriz University of Medical Science

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نویسنده نفر چندم مقاله
بیانه امینیاول
لیلا راننده کلانکشدوم
رضا فردوسیسوم
مصطفی فرح بخشچهارم

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عنوان متن
خلاصه مقالهBackground: 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.
کلمات کلیدیMobile Sensing; depression

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