Robotic Device for Out-of-Clinic Post-Stroke Hand Rehabilitation
Due to the ageing population and an increasing number of stroke patients, we see the potential future of rehabilitation in telerehabilitation, which might alleviate the workload of physiotherapists and occupational therapists. In order to enable the use of telerehabilitation, devices aimed for home...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/3/1092 |
| _version_ | 1797489343209668608 |
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| author | Ana Mandeljc Aleksander Rajhard Marko Munih Roman Kamnik |
| author_facet | Ana Mandeljc Aleksander Rajhard Marko Munih Roman Kamnik |
| author_sort | Ana Mandeljc |
| collection | DOAJ |
| description | Due to the ageing population and an increasing number of stroke patients, we see the potential future of rehabilitation in telerehabilitation, which might alleviate the workload of physiotherapists and occupational therapists. In order to enable the use of telerehabilitation, devices aimed for home and independent use need to be developed. This paper describes the design of a robotic device for post-stroke wrist and finger rehabilitation and evaluates the movement it can perform. Six healthy subjects were tested in three experimental conditions: performing a coupled movement of wrist and fingers from flexion to extension without the device, with a passive device, and with an active device. The kinematics of the hand were captured using three Optotrak Certus motion capture systems and tracking 11 infrared active light-emitting diode (LED) markers. The results are presented in the form of base-line trajectories for all middle finger (MF) joints. In addition, the deviations of trajectories between conditions across all subjects were computed for the metacarpophalangeal (MCP) joint and fingertip of the MF and pinkie (PF) finger. Deviations from the base-line trajectory between measurement protocols and the root-mean-square deviation (RMSD) values indicate that the motion of the hand, imposed by the developed device, is comparable to the unconstrained motion of the healthy subjects, especially when moving into the extension, opening the hand. |
| first_indexed | 2024-03-10T00:16:08Z |
| format | Article |
| id | doaj.art-9c304e6dff954910b3503e7ad07af957 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T00:16:08Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-9c304e6dff954910b3503e7ad07af9572023-11-23T15:51:43ZengMDPI AGApplied Sciences2076-34172022-01-01123109210.3390/app12031092Robotic Device for Out-of-Clinic Post-Stroke Hand RehabilitationAna Mandeljc0Aleksander Rajhard1Marko Munih2Roman Kamnik3Laboratory of Robotics, Faculty of Electrical Engineering, University of Ljubljana, Tržaška cesta 25, 1000 Ljubljana, SloveniaLaboratory of Robotics, Faculty of Electrical Engineering, University of Ljubljana, Tržaška cesta 25, 1000 Ljubljana, SloveniaLaboratory of Robotics, Faculty of Electrical Engineering, University of Ljubljana, Tržaška cesta 25, 1000 Ljubljana, SloveniaLaboratory of Robotics, Faculty of Electrical Engineering, University of Ljubljana, Tržaška cesta 25, 1000 Ljubljana, SloveniaDue to the ageing population and an increasing number of stroke patients, we see the potential future of rehabilitation in telerehabilitation, which might alleviate the workload of physiotherapists and occupational therapists. In order to enable the use of telerehabilitation, devices aimed for home and independent use need to be developed. This paper describes the design of a robotic device for post-stroke wrist and finger rehabilitation and evaluates the movement it can perform. Six healthy subjects were tested in three experimental conditions: performing a coupled movement of wrist and fingers from flexion to extension without the device, with a passive device, and with an active device. The kinematics of the hand were captured using three Optotrak Certus motion capture systems and tracking 11 infrared active light-emitting diode (LED) markers. The results are presented in the form of base-line trajectories for all middle finger (MF) joints. In addition, the deviations of trajectories between conditions across all subjects were computed for the metacarpophalangeal (MCP) joint and fingertip of the MF and pinkie (PF) finger. Deviations from the base-line trajectory between measurement protocols and the root-mean-square deviation (RMSD) values indicate that the motion of the hand, imposed by the developed device, is comparable to the unconstrained motion of the healthy subjects, especially when moving into the extension, opening the hand.https://www.mdpi.com/2076-3417/12/3/1092strokewristfingerrehabilitationrobotexoskeleton |
| spellingShingle | Ana Mandeljc Aleksander Rajhard Marko Munih Roman Kamnik Robotic Device for Out-of-Clinic Post-Stroke Hand Rehabilitation Applied Sciences stroke wrist finger rehabilitation robot exoskeleton |
| title | Robotic Device for Out-of-Clinic Post-Stroke Hand Rehabilitation |
| title_full | Robotic Device for Out-of-Clinic Post-Stroke Hand Rehabilitation |
| title_fullStr | Robotic Device for Out-of-Clinic Post-Stroke Hand Rehabilitation |
| title_full_unstemmed | Robotic Device for Out-of-Clinic Post-Stroke Hand Rehabilitation |
| title_short | Robotic Device for Out-of-Clinic Post-Stroke Hand Rehabilitation |
| title_sort | robotic device for out of clinic post stroke hand rehabilitation |
| topic | stroke wrist finger rehabilitation robot exoskeleton |
| url | https://www.mdpi.com/2076-3417/12/3/1092 |
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