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SUMMARY:Personalised mental health monitoring - Szymon Fedor
DTSTART:20120803T130000Z
DTEND:20120803T140000Z
UID:TALK39208@talks.cam.ac.uk
CONTACT:Peter Robinson
DESCRIPTION:Depression is amongst the most prevalent health problems world
 wide. Despite the magnitude of this global health problem\, there are curr
 ently no methods for non-invasive\, objective and accurate measurement of 
 the level of clinical depression\, reaction to a treatment or symptoms of 
 deteriorating mental health. The current standard for diagnosis is still b
 ased on subjective clinical rating scales such as the Hamilton Depression 
 Rating Scale\, derived from methods that were developed in the early 1960s
 . While the efficacy of these scales has been proven in medically diagnosi
 ng depression\, they have their drawbacks: they are a potential source of 
 subjectivity in the diagnosis and they require attendance of a physician. 
 Given recent advances in wearable sensors and with the widespread use of s
 martphones there is an opportunity to quantitatively and accurately assess
  depression state by using Affective Sensing methods\, analysis of speech 
 patterns and behaviour not only in a clinical environment but also during 
 daily life activities. Dr Szymon Fedor will present his research results i
 n diagnosing mental health disorders on the basis of long-term physiologic
 al measurements. He will also show how depression state can be assessed in
  the future using long-term physiologic and behavioural measures collected
  with wearable sensors and a mobile phone.
LOCATION:Rainbow Room (SS03)\, Computer Laboratory
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