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SUMMARY:Using breathing acoustics and breathing pattern for automated pred
 ictions of asthma status - Anna Barney\, University of Southampton
DTSTART:20230214T160000Z
DTEND:20230214T170000Z
UID:TALK193528@talks.cam.ac.uk
CONTACT:Cecilia Mascolo
DESCRIPTION:Asthma is a respiratory condition where spasms within the bron
 chi of the lungs cause difficulty in breathing\, which can result in an ac
 ute episode commonly known as an “asthma attack”. Asthma is not though
 t to be a single disease\, but is a set of overlapping conditions each tri
 ggered by a different combination of genetic and environmental factors. Th
 is complicates predicting the onset of acute attacks\, treating the root c
 auses\, and medicating for day-to-day control of symptoms.\nThis talk will
  present three case studies exploring the use of automated methods for mon
 itoring asthma status using breath sounds and breathing patterns. We will 
 consider: how temporal characteristics of tidal breathing can be used to s
 eparate patients into clinically different groups which may benefit from d
 ifferent approaches to treatment\; using the variability of temporal breat
 hing patterns to predict how well-controlled a patient’s asthma is\, and
  the relationship between  the acoustic qualities of breathing & speech\, 
 and the degree of airway constriction during an asthma attack.
LOCATION:FW26\, Computer Laboratory\, William Gates Building and Online
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