AN INTELLIGENT REMOTE EXERGAME SYSTEM FOR KNEE OSTEOARTHRITIS REHABILITA- TION TRAINING

doi:10.19193/0393-6384_2022_1_105

	AN INTELLIGENT REMOTE EXERGAME SYSTEM FOR KNEE OSTEOARTHRITIS REHABILITA- TION TRAINING
	Wang, Guangjun 1,2,3; Fan, Yi 1; Wu, Ming 5; Jin, Xin 4; Zhang, Hanyuan 2,3,4; Yao, Liangliang 1; Sun, Yining 2,3; Su, Benyue 1; Ma, Zuchang 2,3
刊名	ACTA MEDICA MEDITERRANEA
	2022
卷号	38
关键词	Exercise therapy home exercise knee osteoarthritis kinect exercise game process evaluation
ISSN号	0393-6384
DOI	10.19193/0393-6384_2022_1_105
通讯作者	Ma, Zuchang(zcma@iim.ac.cn)
英文摘要	Exercise therapy is a specialized and long-term process, and home exercise is an essential approach to treating knee osteoarthritis (KOA). We propose an intelligent remote exercise game system to assist the patients with correct and effective rehabilitation training. This system includes the knee assessment, the Kinect-based exergame, the system server, and the Web program. The physical therapist gives the patient an exercise prescription that specifies the patient's exercise tasks at home through the knee assessment. The exercise tasks are transformed into game tasks through the exergame, and the patient is guided to perform the exercise tasks correctly. The Kinect is used to obtain real-time joint position data of the KOA patient and calculate the joint movement angle to determine whether the patient has completed the exercise movements required by the exercise task. Exercise data is recorded for the patient's exercise and transferred to the system server for the physical therapist to view. The physical therapist reviews the patient's exercise data by the Web program, then evaluates the exercise and provides feedback to adjust the exercise prescription. The system allows the KOA patient to perform the rehabilitation exercises at home enjoyable and allows the physical therapist to achieve remote process evaluation and rehabilitation guidance. This approach can improve the effectiveness of KOA rehabilitation training and reduce the burden of traditional hospital follow-up visits.
资助项目	Key Project on Anhui Provincial Natural Science Study by Colleges and Universities under Grant Key technical research of knee function evaluation and rehabilitation training[KJ2019A0555] ; Key Project of Science and Technology Service Network Program of Chinese Academy of Sciences Construction of chronic disease risk prevention and control service system based on big data[KFJ-STS-ZDTP-079] ; Major Science and Technology Projects of Anhui Province Research and demonstration of key technologies of non-medical sexual health promotion services[18030801133] ; Major projects on Anhui Provincial science and technology[18030901021] ; National Natural Science Foundation of China[61701482] ; Natural Science Foundation of Anhui Province, China[1808085MF191] ; Anhui Provincial University Leading Talents Team Fund Grant Project (Anhui Education Secret [2019])[16]
WOS关键词	KINECT V2 ; EXERCISE
WOS研究方向	General & Internal Medicine
语种	英语
出版者	CARBONE EDITORE
WOS记录号	WOS:000754177900006
资助机构	Key Project on Anhui Provincial Natural Science Study by Colleges and Universities under Grant Key technical research of knee function evaluation and rehabilitation training ; Key Project of Science and Technology Service Network Program of Chinese Academy of Sciences Construction of chronic disease risk prevention and control service system based on big data ; Major Science and Technology Projects of Anhui Province Research and demonstration of key technologies of non-medical sexual health promotion services ; Major projects on Anhui Provincial science and technology ; National Natural Science Foundation of China ; Natural Science Foundation of Anhui Province, China ; Anhui Provincial University Leading Talents Team Fund Grant Project (Anhui Education Secret [2019])
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/127861]
专题	中国科学院合肥物质科学研究院
通讯作者	Ma, Zuchang
作者单位	1.Anqing Normal Univ, Univ Key Lab Intelligent Percept & Comp Anhui Pro, Anqing 246013, Peoples R China 2.Chinese Acad Sci, Inst Intelligent Machines, Hefei Inst Phys Sci, Anhui Prov Key Lab Med Phys & Technol, Hefei 230031, Peoples R China 3.Univ Sci & Technol China, Grad Sch, Sci Isl Branch, Hefei 230026, Peoples R China 4.Univ Sci & Technol China, Div Life Sci & Med, Affiliated Hosp USTC 1, Hefei 230001, Anhui, Peoples R China 5.First Affiliated Hosp USTC, Dept Rehabil Med, Hefei 230036, Peoples R China
推荐引用方式 GB/T 7714	Wang, Guangjun,Fan, Yi,Wu, Ming,et al. AN INTELLIGENT REMOTE EXERGAME SYSTEM FOR KNEE OSTEOARTHRITIS REHABILITA- TION TRAINING[J]. ACTA MEDICA MEDITERRANEA,2022,38.
APA	Wang, Guangjun.,Fan, Yi.,Wu, Ming.,Jin, Xin.,Zhang, Hanyuan.,...&Ma, Zuchang.(2022).AN INTELLIGENT REMOTE EXERGAME SYSTEM FOR KNEE OSTEOARTHRITIS REHABILITA- TION TRAINING.ACTA MEDICA MEDITERRANEA,38.
MLA	Wang, Guangjun,et al."AN INTELLIGENT REMOTE EXERGAME SYSTEM FOR KNEE OSTEOARTHRITIS REHABILITA- TION TRAINING".ACTA MEDICA MEDITERRANEA 38(2022).