• 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