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清華大學|信息學院|國家實驗室|English Version

【2018學術報告10】On Contact-free Vital Sign Monitoring in Healthcare IoT


Title: On Contact-free Vital Sign Monitoring in Healthcare IoT

Speaker: Shiwen Mao,Professor, Auburn University

Time: 09:30 a.m., 23th, Oct. (Tue.) 

Place: 1-415, FIT Building 

Language: English

Organizer: Research Institute of Information Technology (RIIT), Tsinghua University



Shiwen Mao received his Bachelor's and Master's degrees, both in Electronic Engineering, from Tsinghua University, Beijing, P.R. China in 1994 and 1997, respectively. He also received a Bachelor's degree in Business Management from Tsinghua University in 1994 and a Master's degree in Systems Engineering from Polytechnic University (now NYU Tandon School of Engineering), Brooklyn, NY, in 2000. He received his Ph.D. in Electrical and Computer Engineering from Polytechnic University in 2004. He is the Samuel Ginn Distinguished Professor and Director of the Wireless Engineering Research and Education Center (WEREC) at Auburn University, Auburn, AL. His research interests include wireless networks, multimedia communications, and smart grid. He is a Distinguished Speaker of the IEEE Vehicular Technology Society (VTS). He is on the Editorial Board of IEEE Transactions on Mobile Computing, IEEE Transactions on Multimedia, IEEE Internet of Things Journal, IEEE Multimedia, ACM GetMobile, among others. He received the Creative Research & Scholarship Award from Auburn University in 2018. He received the 2017 IEEE ComSoc ITC Outstanding Service Award, the 2015 IEEE ComSoc TC-CSR Distinguished Service Award, the 2013 IEEE ComSoc MMTC Outstanding Leadership Award, and the NSF CAREER Award in 2010. He is a co-recipient of the IEEE ComSoc MMTC 2017 Best Conference Paper Award, Best Paper Awards from IEEE GLOBECOM 2016 & 2015, IEEE WCNC 2015, and IEEE ICC 2013, and the 2004 IEEE Communications Society Leonard G. Abraham Prize in the Field of Communications Systems.


Vital signs, such as breathing and heartbeat, are useful to health monitoring since such signals provide important clues of medical conditions. Effective solutions are needed to provide contact-free, easy deployment, low-cost, and long-term vital sign monitoring. Exploiting wireless signals for contact-free vital sign monitoring will be an important part of the future healthcare Internet of Things (IoT). In this talk, we present our recent work on contact-free vital sign monitoring. The first part is to exploit channel state information (CSI) phase difference data to monitor breathing and heartbeat with commodity WiFi devices. We will present PhaseBeat, a discrete wavelet transform based design, and TensorBeat, a tensor decomposition based design, as well as our experimental study to validate their performance. The second part of this talk is to exploit a 20KHz ultrasound signal for breathing rate detection. We will present our smartphone App based implementation. Our experimental study shows that the proposed systems can achieve high accuracy under different environments for vital sign monitoring.