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University of Cambridge > Talks.cam > Mobile and Wearable Health Seminar Series > Computational wireless sensing for health
Computational wireless sensing for healthAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Cecilia Mascolo. Zoom: https://cam-ac-uk.zoom.us/j/82442600092?pwd=DfDLE12p2Kmnh532rSMVB8mOn7uLDa.1 Abstract: Mobile computing technologies have advanced substantially over the last two decades. Today, the smart devices enabled by economies of scale, incorporate high-quality wireless sensors such as acoustic and RF sensors and the trend shows an increase in both the quantity and quality of these sensors. These sensors can be leveraged to enable a contactless passive monitoring of physiological signals of subjects and early diagnoses of various health conditions. In this talk, I will present a privacy aware wireless sensing technology to enable equitable, passive contactless monitoring of breathing and heart rate signals to detect opioid overdose in a timely manner. Bio: Rajalakshmi Nandakumar is an Assistant Professor at the Jacobs Technion-Cornell Institute at Cornell Tech and in the Information Science department at Cornell University. She received her Ph.D. from University of Washington in Computer Science and Engineering in 2019. Her research focuses on developing wireless sensing technologies that enable novel applications in various domains including mobile health, user interfaces and IoT networks. She developed the first contactless smartphone-based sleep apnea diagnosis system that was licensed by ResMed Inc. and now used by millions of users for sleep staging. She was recognized with the UW Medicine Judy Su Clinical Research award, Paul Baran Young Scholar award by the Marconi Society and also named as the rising star in EECS by MIT . This talk is part of the Mobile and Wearable Health Seminar Series series. This talk is included in these lists:
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