Electrical and Computer Engineering
Dean of Engineering
Faculty Host: Ashu Sabharwal
ECE Seminar Series: Wearable Computers for Precision Medicine (698/699)
Friday, March 24, 2017
to 1:00 PM
1046 Duncan Hall
6100 Main St
Houston, Texas, USA
As wearable computers gain traction in the consumer market, the bold vision of unobtrusive, pervasive and continuous physiological and behavioral monitoring is taking hold in everyday life. These platforms provide new avenues to continuously monitor individuals, whether they are intended to detect an early onset of a disease, assess human performance or the effectiveness of a treatment. In the past few years, the community has observed a large number of applications that have been developed using wearable computers. There are a number of fundamental challenges that need to be addressed before realizing the true ubiquitous use of the wearable systems for precision medicine.
The robustness of sensing plays a key role. Human factors and wearability are among other principal design requirements. Precision applications will require measurements that exhibit certain degrees of robustness to trigger intervention. Human factors also play an important part promoting user compliance. Asking users to wearable plurality of sensors often lead to additional burden and will discourage the use.
In this talk, we will discuss a number of sensing and signal processing paradigms that capture physiological and behavioral observations including bio-impedance and optical sensing modalities. Our primary focus remains capturing signals from a wrist-worn device with a watch form factor. We will concentrate on measuring heart rate, heart rate variability, respiration rate, and pulse wave velocity, a derivative of the blood pressure. We will discuss a signal processing technique leveraging particle filters that is intended to convert data into information while assuring high degrees of robustness in presence of noise. We will present our experimental results and validation studies on several cohorts of human subjects and will offer concluding remarks on the trends of wearable computing technology development and potential future directions in precision medicine.
Biography of Roozbeh Jafari:
Roozbeh Jafari (http://jafari.tamu.edu) is an associate professor in Biomedical Engineering, Computer Science and Engineering and Electrical and Computer Engineering at Texas A&M University. He received his PhD in Computer Science from UCLA and completed a postdoctoral fellowship at UC-Berkeley. His research interest lies in the area of wearable computer design and signal processing. His research has been funded by the NSF, NIH, DoD (TATRC), AFRL, AFOSR, DARPA, SRC and industry (Texas Instruments, Tektronix, Samsung & Telecom Italia). He has published over 120 papers in refereed journals and conferences. He has served as the general chair and technical program committee chair for several flagship conferences in the area of Wearable Computers including. He is the recipient of the NSF CAREER award in 2012, IEEE Real-Time & Embedded Technology & Applications Symposium (RTAS) best paper award in 2011 and Andrew P. Sage best transactions paper award from IEEE Systems, Man and Cybernetics Society in 2014. He is an associate editor for the IEEE Transactions on Biomedical Circuits and Systems, IEEE Sensors Journal, IEEE Internet of Things Journal and IEEE Journal of Biomedical and Health Informatics.