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Embedded Sensing and Computing Technologies for Wireless Health

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What
  • PhD Defenses
When Jul 17, 2013
from 12:00 PM to 02:00 PM
Where ENGR. IV Bldg. Tesla Room 53-125
Contact Name
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Wenyao Xu
Advisor: Majid Sarrafzadeh and Lei He

Abstract
Solving healthcare related problems is one of the grand challenges in the 21st century. In many nations, the need to improve existing medical and healthcare services is becoming increasingly important due primarily to the growing population and ageing society. The rapid advancement of sensors, computing and wireless communication technology has brought rise to a new research field called Wireless Health, which transforms health related services from the system based on episodic examination, disease diagnosis and treatment to one with continuous monitoring, disease prediction and prevention.

In this talk, I will summarize the projects I lead in Wireless Health. I highlight how to team up with medical professionals to solve real healthcare problems, such as pressure ulcer prevention, gait analysis, non-contact cardiopulmonary monitoring and remote rehabilitation. More specifically, I will elaborate on our end-to-end work of developing healthcare solutions, including identifying problems, proposing solutions, developing systems and clinical verification. A few embedded sensing and computing technologies, including sensor system design, sensor modeling and sensor signal processing, will be discussed.

Biography
Wenyao Xu is a Ph.D candidate at the University of California, Los Angeles, supervised by Majid Sarrafzadeh in the Wireless Health Institute. He obtained his B.S. and M.S. from Zhejiang University in 2006 and 2008, respectively. His research interests are in the area of embedded systems, computational modeling and algorithm design. During his Ph.D study, he focused on new sensing and computing technologies for healthcare applications. Wenyao received best paper award in IEEE Body Sensor Network Conference 2013, best demo paper awards in ACM Wireless Health Conference 2011 and IEEE Body Sensor Network Conference 2012.

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