DocumentCode
79393
Title
Tracking Mental Well-Being: Balancing Rich Sensing and Patient Needs
Author
Matthews, Mark ; Abdullah, Saad ; Gay, Geri ; Choudhury, Tonmoy
Volume
47
Issue
4
fYear
2014
fDate
Apr. 2014
Firstpage
36
Lastpage
43
Abstract
Serious mental illnesses are among the most pressing public healthcare concerns. Continuous and unobtrusive sensing of social and physical functioning has tremendous potential to support lifelong health management by acting as an early warning system to detect changes in mental well-being, delivering context-aware micro-interventions to patients when and where they need them and significantly accelerating patients´ understanding of their illness. We have presented a range of techniques from our previous and ongoing work to suggest how technologists can make significant advances in this area. While we are still shaping and evaluating these solutions, there is an opportunity for other researchers in our field to help ease the burden of SMIs by striking a balance between cutting-edge sensing and patient needs. This could empower patients by giving them a hand in their own treatment and ultimately lead to more effective, lower-cost treatment.
Keywords
health care; patient diagnosis; psychology; smart phones; early warning system; health management; mental illnesses; mental well-being tracking; patient needs; public healthcare concerns; smart phones; Accelerometers; Feature extraction; Medical services; Microphones; Patient monitoring; Sensors; Speech processing; MoodRhythm; bipolar disorder; computing in medicine; context-aware computing; e-health; human-computer interaction; m-health; mental health; mobile computing; sensing technologies; serious mental illnesses; smartphone applications;
fLanguage
English
Journal_Title
Computer
Publisher
ieee
ISSN
0018-9162
Type
jour
DOI
10.1109/MC.2014.107
Filename
6798618
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