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CSAR webinar: Sounding out wearable and audio data for health diagnostics.

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  • UserProfessor Cecilia Mascolo, Professor of Mobile Systems, Department of Computer Science and Technology; Co-director for the Centre for Mobile, Wearable Systems and Augmented Intelligence, Cambridge University
  • ClockMonday 10 May 2021, 19:30-21:00
  • HouseLocation: Zoom. See CSAR emails for joining information..

If you have a question about this talk, please contact John Cook .

Considerable research has been conducted into mobile and wearable systems for human health monitoring. This concentrates on either devising 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 raise important technical as well as ethical issues. In this talk, I plan to reflect on the challenges and opportunities that mobile and wearable health systems are introducing for the community, the developers as well as the users. I will use examples from my group’s ongoing research on exploring machine learning and data analysis for health application in collaboration with epidemiologists and clinicians. In particular I will discuss our project on using audio signals for disease diagnostics and our recent work in the context of COVID -19: a crowdsourced collected through mobile apps (covid-19-sounds.org) of respiratory sounds (coughs, breathing and voice) to pre-screen and diagnose COVID -19.

This talk is part of the Cambridge Society for the Application of Research (CSAR) series.

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