A Review of Hand Function Rehabilitation Systems Based on Hand Motion Recognition Devices and Artificial Intelligence
The incidence of stroke and the burden on health care and society are expected to increase significantly in the coming years, due to the increasing aging of the population. Various sensory, motor, cognitive and psychological disorders may remain in the patient after survival from a stroke. In hemipl...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Brain Sciences |
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| Online Access: | https://www.mdpi.com/2076-3425/12/8/1079 |
| _version_ | 1797432362379771904 |
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| author | Yuexing Gu Yuanjing Xu Yuling Shen Hanyu Huang Tongyou Liu Lei Jin Hang Ren Jinwu Wang |
| author_facet | Yuexing Gu Yuanjing Xu Yuling Shen Hanyu Huang Tongyou Liu Lei Jin Hang Ren Jinwu Wang |
| author_sort | Yuexing Gu |
| collection | DOAJ |
| description | The incidence of stroke and the burden on health care and society are expected to increase significantly in the coming years, due to the increasing aging of the population. Various sensory, motor, cognitive and psychological disorders may remain in the patient after survival from a stroke. In hemiplegic patients with movement disorders, the impairment of upper limb function, especially hand function, dramatically limits the ability of patients to perform activities of daily living (ADL). Therefore, one of the essential goals of post-stroke rehabilitation is to restore hand function. The recovery of motor function is achieved chiefly through compensatory strategies, such as hand rehabilitation robots, which have been available since the end of the last century. This paper reviews the current research status of hand function rehabilitation devices based on various types of hand motion recognition technologies and analyzes their advantages and disadvantages, reviews the application of artificial intelligence in hand rehabilitation robots, and summarizes the current research limitations and discusses future research directions. |
| first_indexed | 2024-03-09T09:59:25Z |
| format | Article |
| id | doaj.art-5e1e7ab6934142899ea3b56f3470635c |
| institution | Directory Open Access Journal |
| issn | 2076-3425 |
| language | English |
| last_indexed | 2024-03-09T09:59:25Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Brain Sciences |
| spelling | doaj.art-5e1e7ab6934142899ea3b56f3470635c2023-12-01T23:31:19ZengMDPI AGBrain Sciences2076-34252022-08-01128107910.3390/brainsci12081079A Review of Hand Function Rehabilitation Systems Based on Hand Motion Recognition Devices and Artificial IntelligenceYuexing Gu0Yuanjing Xu1Yuling Shen2Hanyu Huang3Tongyou Liu4Lei Jin5Hang Ren6Jinwu Wang7School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, ChinaSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, ChinaSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, ChinaCollege of Science, Xi’an Jiaotong-Liverpool University, Suzhou 215028, ChinaSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, ChinaDepartment of Rehabilitation Medicine, The Ninth People’s Hospital Affiliated to School of Medicine of Shanghai Jiao Tong University, Shanghai 200011, ChinaSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, ChinaSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, ChinaThe incidence of stroke and the burden on health care and society are expected to increase significantly in the coming years, due to the increasing aging of the population. Various sensory, motor, cognitive and psychological disorders may remain in the patient after survival from a stroke. In hemiplegic patients with movement disorders, the impairment of upper limb function, especially hand function, dramatically limits the ability of patients to perform activities of daily living (ADL). Therefore, one of the essential goals of post-stroke rehabilitation is to restore hand function. The recovery of motor function is achieved chiefly through compensatory strategies, such as hand rehabilitation robots, which have been available since the end of the last century. This paper reviews the current research status of hand function rehabilitation devices based on various types of hand motion recognition technologies and analyzes their advantages and disadvantages, reviews the application of artificial intelligence in hand rehabilitation robots, and summarizes the current research limitations and discusses future research directions.https://www.mdpi.com/2076-3425/12/8/1079hand function rehabilitationhand rehabilitation robotcomputer vision technologywearable devicessensorsartificial intelligence |
| spellingShingle | Yuexing Gu Yuanjing Xu Yuling Shen Hanyu Huang Tongyou Liu Lei Jin Hang Ren Jinwu Wang A Review of Hand Function Rehabilitation Systems Based on Hand Motion Recognition Devices and Artificial Intelligence Brain Sciences hand function rehabilitation hand rehabilitation robot computer vision technology wearable devices sensors artificial intelligence |
| title | A Review of Hand Function Rehabilitation Systems Based on Hand Motion Recognition Devices and Artificial Intelligence |
| title_full | A Review of Hand Function Rehabilitation Systems Based on Hand Motion Recognition Devices and Artificial Intelligence |
| title_fullStr | A Review of Hand Function Rehabilitation Systems Based on Hand Motion Recognition Devices and Artificial Intelligence |
| title_full_unstemmed | A Review of Hand Function Rehabilitation Systems Based on Hand Motion Recognition Devices and Artificial Intelligence |
| title_short | A Review of Hand Function Rehabilitation Systems Based on Hand Motion Recognition Devices and Artificial Intelligence |
| title_sort | review of hand function rehabilitation systems based on hand motion recognition devices and artificial intelligence |
| topic | hand function rehabilitation hand rehabilitation robot computer vision technology wearable devices sensors artificial intelligence |
| url | https://www.mdpi.com/2076-3425/12/8/1079 |
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