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dc.contributor.author | Igual, Carles | es_ES |
dc.contributor.author | Camacho-García, Andrés | es_ES |
dc.contributor.author | Bernabeu Soler, Enrique Jorge | es_ES |
dc.contributor.author | Igual García, Jorge | es_ES |
dc.date.accessioned | 2021-06-03T03:31:44Z | |
dc.date.available | 2021-06-03T03:31:44Z | |
dc.date.issued | 2020-02 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/167198 | |
dc.description.abstract | [EN] 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. | es_ES |
dc.description.sponsorship | This work is partially supported by Ministerio de Educacion, Cultura y Deporte (Spain) under grant FPU15/02870. The authors would like to thank Lucas Parra for the Myo device and Janne M. Hahne for discussions about the subject of the paper. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation.ispartof | Applied Sciences | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Linear filtering | es_ES |
dc.subject | Prostheses control | es_ES |
dc.subject | Biomedical engineering | es_ES |
dc.subject | Rehabilitation | es_ES |
dc.subject | Myoelectric signals | es_ES |
dc.subject | Adaptive filters | es_ES |
dc.subject.classification | INGENIERIA DE SISTEMAS Y AUTOMATICA | es_ES |
dc.subject.classification | TEORIA DE LA SEÑAL Y COMUNICACIONES | es_ES |
dc.title | Donning/Doffing and Arm Positioning Influence in Upper Limb Adaptive Prostheses Control | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/app10082892 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MECD//FPU15%2F02870/ES/FPU15%2F02870/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/UPV//UPV-FISABIO-2019-A34/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions | es_ES |
dc.description.bibliographicCitation | Igual, C.; Camacho-García, A.; Bernabeu Soler, EJ.; Igual García, J. (2020). Donning/Doffing and Arm Positioning Influence in Upper Limb Adaptive Prostheses Control. Applied Sciences. 10(8):1-19. https://doi.org/10.3390/app10082892 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/app10082892 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 19 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 10 | es_ES |
dc.description.issue | 8 | es_ES |
dc.identifier.eissn | 2076-3417 | es_ES |
dc.relation.pasarela | S\408972 | es_ES |
dc.contributor.funder | Universitat Politècnica de València | es_ES |
dc.contributor.funder | Ministerio de Educación, Cultura y Deporte | es_ES |
dc.contributor.funder | Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana | es_ES |
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