DocumentCode :
76417
Title :
IoT-Based Smart Rehabilitation System
Author :
Yuan Jie Fan ; Yue Hong Yin ; Li Da Xu ; Yan Zeng ; Fan Wu
Author_Institution :
State Key Lab. of Mech. Syst. & Vibration, Shanghai Jiao Tong Univ., Shanghai, China
Volume :
10
Issue :
2
fYear :
2014
fDate :
May-14
Firstpage :
1568
Lastpage :
1577
Abstract :
Internet of Things (IoT) makes all objects become interconnected and smart, which has been recognized as the next technological revolution. As its typical case, IoT-based smart rehabilitation systems are becoming a better way to mitigate problems associated with aging populations and shortage of health professionals. Although it has come into reality, critical problems still exist in automating design and reconfiguration of such a system enabling it to respond to the patient´s requirements rapidly. This paper presents an ontology-based automating design methodology (ADM) for smart rehabilitation systems in IoT. Ontology aids computers in further understanding the symptoms and medical resources, which helps to create a rehabilitation strategy and reconfigure medical resources according to patients´ specific requirements quickly and automatically. Meanwhile, IoT provides an effective platform to interconnect all the resources and provides immediate information interaction. Preliminary experiments and clinical trials demonstrate valuable information on the feasibility, rapidity, and effectiveness of the proposed methodology.
Keywords :
Internet of Things; geriatrics; ontologies (artificial intelligence); patient rehabilitation; Internet of Things; IoT-based smart rehabilitation system; aging populations; medical resources interconnection; ontology-based automating design methodology; patient requirements; Design methodology; Diseases; Informatics; Medical diagnostic imaging; Ontologies; Optimization; Automated design; Internet of Things (IoT); industrial informatics; ontology; service sector; smart rehabilitation;
fLanguage :
English
Journal_Title :
Industrial Informatics, IEEE Transactions on
Publisher :
ieee
ISSN :
1551-3203
Type :
jour
DOI :
10.1109/TII.2014.2302583
Filename :
6722995
Link To Document :
بازگشت