IoT-Based Smart Rehabilitation System

被引:222
作者
Fan, Yuan Jie [1 ]
Yin, Yue Hong [1 ]
Xu, Li Da [2 ,3 ,4 ,5 ]
Zeng, Yan [1 ]
Wu, Fan [1 ]
机构
[1] Shanghai Jiao Tong Univ, State Key Lab Mech Syst & Vibrat, Inst Robot, Shanghai 200240, Peoples R China
[2] Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
[3] Shanghai Jiao Tong Univ, Shanghai 200240, Peoples R China
[4] Univ Sci & Technol China, Hefei 230026, Peoples R China
[5] Old Dominion Univ, Norfolk, VA 23529 USA
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
Automated design; industrial informatics; Internet of Things (IoT); ontology; service sector; smart rehabilitation; SUPPORTING MULTIDISCIPLINARY DESIGN; INTERNET; THINGS; INTEGRATION; EXOSKELETON; TECHNOLOGY; ONTOLOGIES; FRAMEWORK; EMG;
D O I
10.1109/TII.2014.2302583
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:1568 / 1577
页数:10
相关论文
共 46 条
[1]   The Internet of Things: A survey [J].
Atzori, Luigi ;
Iera, Antonio ;
Morabito, Giacomo .
COMPUTER NETWORKS, 2010, 54 (15) :2787-2805
[2]   What are ontologies, and why do we need them? [J].
Chandrasekaran, B ;
Josephson, JR ;
Benjamins, VR .
IEEE INTELLIGENT SYSTEMS & THEIR APPLICATIONS, 1999, 14 (01) :20-26
[3]   Knowledge integration and sharing for collaborative molding product design and process development [J].
Chen, Yuh-Jen .
COMPUTERS IN INDUSTRY, 2010, 61 (07) :659-675
[4]   RFBS: A model for knowledge representation of conceptual design [J].
Christophe, F. ;
Bernard, A. ;
Coatanea, E. .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2010, 59 (01) :155-158
[5]   Investigating ontology development for engineering design support [J].
Darlington, M. J. ;
Culley, S. J. .
ADVANCED ENGINEERING INFORMATICS, 2008, 22 (01) :112-134
[6]   A framework for the identification of reusable processes [J].
de Vries, Marne ;
Gerber, Aurona ;
van der Merwe, Alta .
ENTERPRISE INFORMATION SYSTEMS, 2013, 7 (04) :424-469
[7]   An Intelligent Self-Organization Scheme for the Internet of Things [J].
Ding, Yongsheng ;
Jin, Yanling ;
Ren, Lihong ;
Hao, Kuangrong .
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, 2013, 8 (03) :41-53
[8]   SMART CITIES [J].
Dohler, Mischa ;
Ratti, Carlo ;
Paraszczak, Jurij ;
Falconer, Gordon .
IEEE COMMUNICATIONS MAGAZINE, 2013, 51 (06) :70-71
[9]   Adaptive Internet integration of field bus systems [J].
Eberle, Stephan .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2007, 3 (01) :12-20
[10]   Active and Progressive Exoskeleton Rehabilitation Using Multisource Information Fusion From EMG and Force-Position EPP [J].
Fan, Yuanjie ;
Yin, Yuehong .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2013, 60 (12) :3314-3321