Control within a virtual environment is correlated to functional outcomes when using a physical prosthesis
Abstract Background Advances such as targeted muscle reinnervation and pattern recognition control may provide improved control of upper limb myoelectric prostheses, but evaluating user function remains challenging. Virtual environments are cost-effective and immersive tools that are increasingly us...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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BMC
2018-09-01
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| Series: | Journal of NeuroEngineering and Rehabilitation |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12984-018-0402-y |
| _version_ | 1818147417671860224 |
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| author | Levi Hargrove Laura Miller Kristi Turner Todd Kuiken |
| author_facet | Levi Hargrove Laura Miller Kristi Turner Todd Kuiken |
| author_sort | Levi Hargrove |
| collection | DOAJ |
| description | Abstract Background Advances such as targeted muscle reinnervation and pattern recognition control may provide improved control of upper limb myoelectric prostheses, but evaluating user function remains challenging. Virtual environments are cost-effective and immersive tools that are increasingly used to provide practice and evaluate prosthesis control, but the relationship between virtual and physical outcomes—i.e., whether practice in a virtual environment translates to improved physical performance—is not understood. Methods Nine people with transhumeral amputations who previously had targeted muscle reinnervation surgery were fitted with a myoelectric prosthesis comprising a commercially available elbow, wrist, terminal device, and pattern recognition control system. Virtual and physical outcome measures were obtained before and after a 6-week home trial of the prosthesis. Results After the home trial, subjects showed statistically significant improvements (p < 0.05) in offline classification error, the virtual Target Achievement Control test, and the physical Southampton Hand Assessment Procedure and Box and Blocks Test. A trend toward improvement was also observed in the physical Clothespin Relocation task and Jebsen-Taylor test; however, these changes were not statistically significant. The median completion time in the virtual test correlated strongly and significantly with the Southampton Hand Assessment Procedure (p = 0.05, R = − 0.86), Box and Blocks Test (p = 0.007, R = − 0.82), Jebsen-Taylor Test (p = 0.003, R = 0.87), and the Assessment of Capacity for Myoelectric Control (p = 0.005,R = − 0.85). The classification error performance only had a significant correlation with the Clothespin Relocation Test (p = 0.018, R = .76). Conclusions In-home practice with a pattern recognition-controlled prosthesis improves functional control, as measured by both virtual and physical outcome measures. However, virtual measures need to be validated and standardized to ensure reliability in a clinical or research setting. Trial registration This is a registered clinical trial: NCT03097978. |
| first_indexed | 2024-12-11T12:34:55Z |
| format | Article |
| id | doaj.art-645cdbe929f045eab37cb25e41118241 |
| institution | Directory Open Access Journal |
| issn | 1743-0003 |
| language | English |
| last_indexed | 2024-12-11T12:34:55Z |
| publishDate | 2018-09-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of NeuroEngineering and Rehabilitation |
| spelling | doaj.art-645cdbe929f045eab37cb25e411182412022-12-22T01:07:09ZengBMCJournal of NeuroEngineering and Rehabilitation1743-00032018-09-0115S11710.1186/s12984-018-0402-yControl within a virtual environment is correlated to functional outcomes when using a physical prosthesisLevi Hargrove0Laura Miller1Kristi Turner2Todd Kuiken3Shirley Ryan AbilityLabShirley Ryan AbilityLabShirley Ryan AbilityLabShirley Ryan AbilityLabAbstract Background Advances such as targeted muscle reinnervation and pattern recognition control may provide improved control of upper limb myoelectric prostheses, but evaluating user function remains challenging. Virtual environments are cost-effective and immersive tools that are increasingly used to provide practice and evaluate prosthesis control, but the relationship between virtual and physical outcomes—i.e., whether practice in a virtual environment translates to improved physical performance—is not understood. Methods Nine people with transhumeral amputations who previously had targeted muscle reinnervation surgery were fitted with a myoelectric prosthesis comprising a commercially available elbow, wrist, terminal device, and pattern recognition control system. Virtual and physical outcome measures were obtained before and after a 6-week home trial of the prosthesis. Results After the home trial, subjects showed statistically significant improvements (p < 0.05) in offline classification error, the virtual Target Achievement Control test, and the physical Southampton Hand Assessment Procedure and Box and Blocks Test. A trend toward improvement was also observed in the physical Clothespin Relocation task and Jebsen-Taylor test; however, these changes were not statistically significant. The median completion time in the virtual test correlated strongly and significantly with the Southampton Hand Assessment Procedure (p = 0.05, R = − 0.86), Box and Blocks Test (p = 0.007, R = − 0.82), Jebsen-Taylor Test (p = 0.003, R = 0.87), and the Assessment of Capacity for Myoelectric Control (p = 0.005,R = − 0.85). The classification error performance only had a significant correlation with the Clothespin Relocation Test (p = 0.018, R = .76). Conclusions In-home practice with a pattern recognition-controlled prosthesis improves functional control, as measured by both virtual and physical outcome measures. However, virtual measures need to be validated and standardized to ensure reliability in a clinical or research setting. Trial registration This is a registered clinical trial: NCT03097978.http://link.springer.com/article/10.1186/s12984-018-0402-yProstheticsMyoelectric controlPattern recognitionOutcomes |
| spellingShingle | Levi Hargrove Laura Miller Kristi Turner Todd Kuiken Control within a virtual environment is correlated to functional outcomes when using a physical prosthesis Journal of NeuroEngineering and Rehabilitation Prosthetics Myoelectric control Pattern recognition Outcomes |
| title | Control within a virtual environment is correlated to functional outcomes when using a physical prosthesis |
| title_full | Control within a virtual environment is correlated to functional outcomes when using a physical prosthesis |
| title_fullStr | Control within a virtual environment is correlated to functional outcomes when using a physical prosthesis |
| title_full_unstemmed | Control within a virtual environment is correlated to functional outcomes when using a physical prosthesis |
| title_short | Control within a virtual environment is correlated to functional outcomes when using a physical prosthesis |
| title_sort | control within a virtual environment is correlated to functional outcomes when using a physical prosthesis |
| topic | Prosthetics Myoelectric control Pattern recognition Outcomes |
| url | http://link.springer.com/article/10.1186/s12984-018-0402-y |
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