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Issue No.04 - Apr. (2014 vol.47)
pp: 36-43
Mark Matthews , Cornell University
Saeed Abdullah , Cornell University
Geri Gay , Cornell University
Tanzeem Choudhury , Cornell University
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.
INDEX TERMS
Patient monitoring, Medical services, Speech processing, Medical services, Accelerometers, Microphones, Feature extraction, Sensors,MoodRhythm, context-aware computing, computing in medicine, human-computer interaction, sensing technologies, mental health, bipolar disorder, serious mental illnesses, smartphone applications, mobile computing, e-health, m-health
CITATION
Mark Matthews, Saeed Abdullah, Geri Gay, Tanzeem Choudhury, "Tracking Mental Well-Being: Balancing Rich Sensing and Patient Needs", Computer, vol.47, no. 4, pp. 36-43, Apr. 2014, doi:10.1109/MC.2014.107
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