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DTSTART:19700329T010000
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CATEGORIES:Mobile and Wearable Health Seminar Series
SUMMARY:Using breathing acoustics and breathing pattern fo
 r automated predictions of asthma status - Anna Ba
 rney\, University of Southampton
DTSTART;TZID=Europe/London:20230214T160000
DTEND;TZID=Europe/London:20230214T170000
UID:TALK193528AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/193528
DESCRIPTION:Asthma is a respiratory condition where spasms wit
 hin the bronchi of the lungs cause difficulty in b
 reathing\, which can result in an acute episode co
 mmonly known as an “asthma attack”. Asthma is not 
 thought to be a single disease\, but is a set of o
 verlapping conditions each triggered by a differen
 t combination of genetic and environmental factors
 . This complicates predicting the onset of acute a
 ttacks\, treating the root causes\, and medicating
  for day-to-day control of symptoms.\nThis talk wi
 ll present three case studies exploring the use of
  automated methods for monitoring asthma status us
 ing breath sounds and breathing patterns. We will 
 consider: how temporal characteristics of tidal br
 eathing can be used to separate patients into clin
 ically different groups which may benefit from dif
 ferent approaches to treatment\; using the variabi
 lity of temporal breathing patterns to predict how
  well-controlled a patient’s asthma is\, and the r
 elationship between  the acoustic qualities of bre
 athing & speech\, and the degree of airway constri
 ction during an asthma attack.
LOCATION:FW26\, Computer Laboratory\, William Gates Buildin
 g and Online
CONTACT:Cecilia Mascolo
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