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DTSTART:19700329T010000
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CATEGORIES:Rainbow Group Seminars
SUMMARY:Personalised mental health monitoring - Szymon Fed
 or
DTSTART;TZID=Europe/London:20120803T140000
DTEND;TZID=Europe/London:20120803T150000
UID:TALK39208AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/39208
DESCRIPTION:Depression is amongst the most prevalent health pr
 oblems worldwide. Despite the magnitude of this gl
 obal health problem\, there are currently no metho
 ds for non-invasive\, objective and accurate measu
 rement of the level of clinical depression\, react
 ion to a treatment or symptoms of deteriorating me
 ntal health. The current standard for diagnosis is
  still based on subjective clinical rating scales 
 such as the Hamilton Depression Rating Scale\, der
 ived from methods that were developed in the early
  1960s. While the efficacy of these scales has bee
 n proven in medically diagnosing 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
  smartphones there is an opportunity to quantitati
 vely and accurately assess depression state by usi
 ng Affective Sensing methods\, analysis of speech 
 patterns and behaviour not only in a clinical envi
 ronment but also during daily life activities. Dr 
 Szymon Fedor will present his research results in 
 diagnosing mental health disorders on the basis of
  long-term physiological measurements. He will als
 o show how depression state can be assessed in the
  future using long-term physiologic and behavioura
 l measures collected with wearable sensors and a m
 obile phone.
LOCATION:Rainbow Room (SS03)\, Computer Laboratory
CONTACT:Peter Robinson
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