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SUMMARY:CSAR webinar: Sounding out wearable and audio data for health diag
 nostics. - Professor Cecilia Mascolo\, Professor of Mobile Systems\, Depar
 tment of Computer Science and Technology\; Co-director for the Centre for 
 Mobile\, Wearable Systems and Augmented Intelligence\, Cambridge Universit
 y
DTSTART:20210510T183000Z
DTEND:20210510T200000Z
UID:TALK157363@talks.cam.ac.uk
CONTACT:John Cook
DESCRIPTION:Considerable research has been conducted into mobile and weara
 ble systems for human health monitoring.\nThis concentrates on either devi
 sing sensing and systems techniques to effectively and efficiently collect
  data about users\, and patients or in studying mechanisms to analyse the 
 data coming from these systems accurately. In both cases\, these efforts r
 aise important technical as well as ethical issues.\nIn this talk\, I plan
  to reflect on the challenges and opportunities that mobile and wearable h
 ealth systems are introducing for the community\, the developers as well a
 s the users. I will use examples from my group's ongoing research on explo
 ring machine learning and data analysis for health application in collabor
 ation with epidemiologists and clinicians.\nIn particular I will discuss o
 ur project on using audio signals for disease diagnostics and our recent w
 ork in the context of COVID-19: a crowdsourced collected through mobile ap
 ps (covid-19-sounds.org) of respiratory sounds (coughs\, breathing and voi
 ce) to pre-screen and diagnose COVID-19.
LOCATION:Location: Zoom. See CSAR emails for joining information.
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