DocumentCode
2041962
Title
WiP Abstract: A Human-Centered Cyber-Physical Systematic Approach for Post-Stroke Monitoring
Author
Wang, Hongan ; Deng, Xiaoming ; Tian, Feng
Author_Institution
State Key Lab. of Comput. Sci., Inst. of Software, Beijing, China
fYear
2012
fDate
17-19 April 2012
Firstpage
209
Lastpage
209
Abstract
We proposed a human-centered cyber-physical systematic approach for post-stroke monitoring. This system is composed of wearable inertial and physiological sensors as well as novel machine learning algorithms to analyze human behavior and physiological signals in the context of health caring for patients with cerebrovascular diseases such as stroke.
Keywords
diseases; health care; learning (artificial intelligence); medical computing; patient monitoring; sensors; cerebrovascular diseases; health caring; human-centered cyber-physical systematic approach; machine learning algorithms; physiological sensors; post-stroke monitoring; wearable inertial sensors; Biomedical monitoring; Diseases; Humans; Machine learning algorithms; Monitoring; Wearable sensors; Cyber-physical system; health care;
fLanguage
English
Publisher
ieee
Conference_Titel
Cyber-Physical Systems (ICCPS), 2012 IEEE/ACM Third International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4673-1537-1
Type
conf
DOI
10.1109/ICCPS.2012.32
Filename
6197406
Link To Document