Donning/Doffing and Arm Positioning Influence in Upper Limb Adaptive Prostheses Control
New upper limb prostheses controllers are continuously being proposed in the literature. However, most of the prostheses commonly used in the real world are based on very old basic controllers. One reason to explain this reluctance to change is the lack of robustness. Traditional controllers have be...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-04-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/8/2892 |
| _version_ | 1797569973553463296 |
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| author | Carles Igual Andrés Camacho Enrique J. Bernabeu Jorge Igual |
| author_facet | Carles Igual Andrés Camacho Enrique J. Bernabeu Jorge Igual |
| author_sort | Carles Igual |
| collection | DOAJ |
| description | New upper limb prostheses controllers are continuously being proposed in the literature. However, most of the prostheses commonly used in the real world are based on very old basic controllers. One reason to explain this reluctance to change is the lack of robustness. Traditional controllers have been validated by many users and years, so the introduction of a new controller paradigm requires a lot of strong evidence of a robust behavior. In this work, we approach the robustness against donning/doffing and arm position for recently proposed linear filter adaptive controllers based on myoelectric signals. The adaptive approach allows to introduce some feedback in a natural way in real time in the human-machine collaboration, so it is not so sensitive to input signals changes due to donning/doffing and arm movements. The average completion rate and path efficiency obtained for eight able-bodied subjects donning/doffing five times in four days is 95.83% and 84.19%, respectively, and for four participants using different arm positions is 93.84% and 88.77%, with no statistically significant difference in the results obtained for the different conditions. All these characteristics make the adaptive linear regression a potential candidate for future real world prostheses controllers. |
| first_indexed | 2024-03-10T20:18:49Z |
| format | Article |
| id | doaj.art-e2e3a372430040b089c3f314b3a6b4b2 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T20:18:49Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-e2e3a372430040b089c3f314b3a6b4b22023-11-19T22:21:43ZengMDPI AGApplied Sciences2076-34172020-04-01108289210.3390/app10082892Donning/Doffing and Arm Positioning Influence in Upper Limb Adaptive Prostheses ControlCarles Igual0Andrés Camacho1Enrique J. Bernabeu2Jorge Igual3Instituto de Telecomunicaciones y Aplicaciones Multimedia (ITEAM), Departamento de Comunicaciones, Universitat Politècnica de València, 46022 Valencia, SpainInstituto de Telecomunicaciones y Aplicaciones Multimedia (ITEAM), Departamento de Comunicaciones, Universitat Politècnica de València, 46022 Valencia, SpainInstituto Universitario de Automática e Informática Industrial, Departamento de Ingeniería de Sistemas y Automática, Universitat Politècnica de València, 46022 Valencia, SpainInstituto de Telecomunicaciones y Aplicaciones Multimedia (ITEAM), Departamento de Comunicaciones, Universitat Politècnica de València, 46022 Valencia, SpainNew upper limb prostheses controllers are continuously being proposed in the literature. However, most of the prostheses commonly used in the real world are based on very old basic controllers. One reason to explain this reluctance to change is the lack of robustness. Traditional controllers have been validated by many users and years, so the introduction of a new controller paradigm requires a lot of strong evidence of a robust behavior. In this work, we approach the robustness against donning/doffing and arm position for recently proposed linear filter adaptive controllers based on myoelectric signals. The adaptive approach allows to introduce some feedback in a natural way in real time in the human-machine collaboration, so it is not so sensitive to input signals changes due to donning/doffing and arm movements. The average completion rate and path efficiency obtained for eight able-bodied subjects donning/doffing five times in four days is 95.83% and 84.19%, respectively, and for four participants using different arm positions is 93.84% and 88.77%, with no statistically significant difference in the results obtained for the different conditions. All these characteristics make the adaptive linear regression a potential candidate for future real world prostheses controllers.https://www.mdpi.com/2076-3417/10/8/2892linear filteringprostheses controlbiomedical engineeringrehabilitationmyoelectric signalsadaptive filters |
| spellingShingle | Carles Igual Andrés Camacho Enrique J. Bernabeu Jorge Igual Donning/Doffing and Arm Positioning Influence in Upper Limb Adaptive Prostheses Control Applied Sciences linear filtering prostheses control biomedical engineering rehabilitation myoelectric signals adaptive filters |
| title | Donning/Doffing and Arm Positioning Influence in Upper Limb Adaptive Prostheses Control |
| title_full | Donning/Doffing and Arm Positioning Influence in Upper Limb Adaptive Prostheses Control |
| title_fullStr | Donning/Doffing and Arm Positioning Influence in Upper Limb Adaptive Prostheses Control |
| title_full_unstemmed | Donning/Doffing and Arm Positioning Influence in Upper Limb Adaptive Prostheses Control |
| title_short | Donning/Doffing and Arm Positioning Influence in Upper Limb Adaptive Prostheses Control |
| title_sort | donning doffing and arm positioning influence in upper limb adaptive prostheses control |
| topic | linear filtering prostheses control biomedical engineering rehabilitation myoelectric signals adaptive filters |
| url | https://www.mdpi.com/2076-3417/10/8/2892 |
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