Title:Non-contact Vital Sign Detection with Pulse Radar for Wireless Healthcare Monitoring
Speaker: Prof. Jenming Wu(Tsing Hua University, Hsinchu, Taiwan)
Time:14:30pm, Aug. 20, 2012
Venue:Salon Room, Institute of Semiconductors, CAS

Abstract:The Ultra-wide band (UWB) pulse radar is attractive in manyapplications due to multipath immunity and precision ranging.In this talk, a time-shifted direct-sampling UWB impulseradio (IR) timed-array radar system is presented andimplemented for detecting objects in complex and dynamicenvironment. Both direction of arrival (DOA) and time ofarrival (TOA) can be measured simultaneously to identifymultiple targets. We have exploited using UWB pulse radar for non-contact vital sign healthcare monitoring such as respiration or heartbeats rates. The transmitter generates and sends 10-GSamples/s periodic Gaussian pulses towards the person under monitoring. The pulses arrive at the human bodyand reflect back to the receiver. The receiver samples the reflected signal in RF domain directly by time-interleaved sampling. The 16 time-interleaved analog-to-digital converters (ADC) lead to equivalent sampling rate of 20-GSamples/s. The respiration information and heartbeats information are captured in the reflected signal and is processed by the system. We have developed a successive interference cancelation algorithm at the receiver to post-process the signals and extract the respiration rate and the heartbeats rate successively. Instead of taking all the received samples, a low complexity scheme is developed to select from the 16 interleaved ADC subchannels. We find that only a subset of the 16 interleaved samples are sufficient to maximize the signal-to-noise ratio. Furthermore, the proposed scheme does not require prior knowledge of the pulse waveform. The numerical evaluation based on the mean square error (MSE) of estimated heartbeats rate is also presented.

Biography:Prof. Jenming Wureceived the B.S. degree from National Taiwan University, Taipei, Taiwan in 1988, the M.S. degree from Polytechnic Institute of New York University in 1991, and the Ph.D. degree from University of Southern California, CA, in 1998, all in electrical engineering. From 1998 –2003, he has been with Sun Microsystems Inc. in Sunnyvale, CA, USA as Member of Technical Staff. Since 2003, he has been with the faculty of Inst. of Communications Engineering, Dept. of Electrical Engineering, National Tsing Hua University, Taiwan, where he currently holds the Associate Professor position. Prof. Wu has worked on various fields of Electrical Engineering including signal processing for communications, wireless communication transceiver IC design, high speed interface IC design, and microprocessor architecture and has published more than 60 technical papers in IEEE journals and conferences. Currently, his research works focus on MIMO signal processing, MIMO cognitive radio, high speed interface technologies, and wireless applications for healthcare.