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DTSTART;TZID=US/Central:20200806T100000
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DESCRIPTION:Abstract: Considerable research has been conducted into mobile 
 and wearable systems for human health monitoring. This research concentrat
 es on either devising sensing and systems techniques to effectively and ef
 ficiently collect data about users\, and patients or in studying mechanism
 s to analyse the data coming from these systems accurately. In both cases\
 , these efforts raise important technical as well as ethical issues. In th
 is talk\, I plan to reflect on the challenges and opportunities that mobil
 e and wearable health systems are introducing for community\, the develope
 rs as well as the users. I will use examples from my group’s ongoing res
 earch on exploring machine learning and data analysis for health applicati
 on in collaboration with epidemiologists and clinicians. In particular I w
 ill discuss our project on using audio signals for disease diagnostics and
  our recent work in the context of COVID-19.\n\nCo-sponsored by: Rice Univ
 . ECE Distinguished Speaker Series\n\nSpeaker(s): Prof. Cecilia Mascolo\, 
 \n\nAgenda: \nhttps://riceuniversity.zoom.us/j/98717374054\n\nhttps://even
 ts.rice.edu/#!view/event/event_id/102339\n\nRice University Webinar via Zo
 om\, Houston\, Texas\, United States\, 77005
LOCATION:Rice University Webinar via Zoom\, Houston\, Texas\, United States
 \, 77005
ORGANIZER:cavallar@rice.edu
SEQUENCE:3
SUMMARY:Audio and Wearable Data for Health Diagnostics (Webinar)
URL;VALUE=URI:https://events.vtools.ieee.org/m/235831
X-ALT-DESC:Description: <br /><p><strong>Abstract:</strong>&nbsp\;Considera
 ble research has been conducted into mobile and wearable systems for human
  health monitoring. This research concentrates on either devising sensing 
 and systems techniques to effectively and efficiently collect data about u
 sers\, and patients or in studying mechanisms to analyse the data coming f
 rom these systems accurately. In both cases\, these efforts raise importan
 t technical as well as ethical issues.&nbsp\;In this talk\, I plan to refl
 ect on the challenges and opportunities that mobile and wearable health sy
 stems are introducing for community\, the developers as well as the users.
  I will use examples from my group&rsquo\;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 pro
 ject on using audio signals for disease diagnostics and our recent work in
  the context of COVID-19.</p><br /><br />Agenda: <br /><p><a href="https:/
 /riceuniversity.zoom.us/j/98717374054">https://riceuniversity.zoom.us/j/98
 717374054</a></p>\n<p><a href="https://events.rice.edu/#!view/event/event_
 id/102339">https://events.rice.edu/#!view/event/event_id/102339</a></p>
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