Low-Power Wireless Sensors for Advanced Healthcare Monitoring

Date & Time: 
Mon, 09/25/2017 - 6:00pm
Speaker: 
Ifana Mahbub
Affiliation: 
University of North Texas
Location: 
Discovery Park F223
Abstract: 

In recent years, low-power wearable and implantable wireless sensors have become a promising choice for advanced healthcare monitoring. The advancement of sensing technology facilitates continuous health monitoring of patients that can prevent the death risks associated with various diseases. Diabetes is one of the leading causes of death worldwide and the real-time monitoring of glucose can certainly prevent these deaths. Implantable glucose sensor helps to achieve better diabetes management by continuously monitoring the blood glucose (BG) level. The first half of the seminar is particularly focused on the design and development of such a miniaturized implantable glucose monitoring sensor. The second half would focus on a wearable respiration monitoring sensor for sleep Apnea detection. Apnea is a chronic disease characterized by the partial or complete cessation of breathing. It is a very critical health condition for premature neonatal infants. Currently, the diagnosis of apnea requires the patients to go through overnight sleep studies named polysomnography or pneumogram for over 12- or 24 hour period, which is very expensive. The design of a prototype device with the pyroelectric sensor and a wireless telemetry would be presented in the talk that overcomes the complexity of the point of care diagnosis of sleeping disorders.

Biography: 

Ifana Mahbub received her B.Sc. degree in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (BUET) in 2012 and her Ph.D. degree in Electrical Engineering from the University of Tennessee, Knoxville in 2017. She is currently an Assistant Professor in the Department of Electrical Engineering at the University of North Texas. Her research interests include low power CMOS analog and RF integrated circuit design for implantable and wearable biomedical sensor applications.

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