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SUMMARY:Robust Ear-worn System for Ambulatory Epileptic Seizure Monitoring
 : Design\, Development\, and Deployment - VP Nguyen\, UMass Amherst
DTSTART:20251104T160000Z
DTEND:20251104T170000Z
UID:TALK234550@talks.cam.ac.uk
CONTACT:Cecilia Mascolo
DESCRIPTION: In this talk\, I will introduce our research on building a ro
 bust ear-worn system that strategically integrates neurophysiological sens
 ors and computing capabilities around the ears for ambulatory seizure moni
 toring. The development of such a system presents significant challenges\,
  requiring rethinking of hardware and software frameworks\, advanced ML al
 gorithms\, and strong interdisciplinary efforts. I will present our approa
 ches to address these gaps and develop a practical ear-worn system for sei
 zure detection and classification in real-world settings. Our work focuses
  on designing robust signal extraction algorithms to capture brain activit
 y at the ear\, developing techniques to extend battery lifetime of the ear
 able\, identifying seizure-related biomarkers from the ears' signals\, and
  validating the system through hospital deployments at the University of T
 exas Southwestern Medical Center and UMass Chan Medical School. I will als
 o share insights gained from deploying these systems in real-world setting
 s and discuss future research directions.\n\nBio: VP Nguyen directs the Wi
 reless and Sensor Systems Laboratory (WSSL) at the Manning College of Info
 rmation and Computer Sciences\, University of Massachusetts Amherst\, and 
 is also affiliated with the Institute for Applied Life Sciences. He is the
  recipient of ACM SIGMOBILE Research Highlights (2017\, 2020\, 2022)\, Son
 y Faculty Innovation Award\, and CACM Research Highlights (2020\, 2021). H
 is broad research interests span mobile and wearable computing\, wireless 
 networking\, and embedded systems\, with a particular focus on the Interne
 t of Medical Things (IoMT) for disease monitoring\, intervention\, and pre
 vention. His lab research aims to improve healthcare accessibility by deve
 loping mobile and wearable health technologies that are portable\, reliabl
 e\, comfortable to use\, socially acceptable\, and low-cost. Their work is
  highly interdisciplinary\, advancing sensor and sensing system developmen
 t\, algorithms\, data analytics\, signal processing\, hardware\, and firmw
 are optimization to invent a new class of medical devices capable of conti
 nuously and unobtrusively collecting clinically meaningful health data in 
 non-clinical settings.
LOCATION:Online
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