Adapted Assistance and Resistance Training With a Knee Exoskeleton After Stroke


Por: de Miguel-Fernández J, Rey-Prieto, Marta, Salazar-Del Rio, Miguel, Lopez-Matas, Helena, Guirao-Cano, Lluis, Font-Llagunes JM and Lobo-Prat, Joan

Publicada: 1 ene 2023 Ahead of Print: 18 ago 2023
Resumen:
Studies on robotic interventions for gait rehabilitation after stroke require: (i) rigorous performance evidence; (ii) systematic procedures to tune the control parameters; and (iii) combination of control modes. In this study, we investigated how stroke individuals responded to training for two weeks with a knee exoskeleton (ABLE-KS) using both Assistance and Resistance training modes together with auditory feedback to train peak knee flexion angle. During the training, the torque provided by the ABLE-KS and the biofeedback were systematically adapted based on the subject's performance and perceived exertion level. We carried out a comprehensive experimental analysis that evaluated a wide range of biomechanical metrics, together with usability and users' perception metrics. We found significant improvements in peak knee flexion (p = 0.0016), minimum knee angle during stance (p = 0.0053), paretic single support time (p = 0.0087) and gait endurance (p = 0.022) when walking without the exoskeleton after the two weeks of training. Participants significantly (p < 0.00025) improved the knee angle during the stance and swing phases when walking with the exoskeleton powered in the high Assistance mode in comparison to the No Exo and the Unpowered conditions. No clinically relevant differences were found between Assistance and Resistance training sessions. Participants improved their performance with the exoskeleton (24-55 %) for the peak knee flexion angle throughout the training sessions. Moreover, participants showed a high level of acceptability of the ABLE-KS (QUEST 2.0 score: 4.5 +/- 0.3 out of 5). Our preliminary findings suggest that the proposed training approach can produce similar or larger improvements in post-stroke individuals than other studies with knee exoskeletons that used higher training intensities.

Filiaciones:
de Miguel-Fernández J:
 Univ Politecn Cataluna, Dept Mech Engn, Biomech Engn Lab, Barcelona 08028, Spain

 Univ Politecn Cataluna, Res Ctr Biomed Engn, Barcelona 08028, Spain

 Inst Recerca St Joan Deu, Esplugas de Llobregat 08950, Spain

Rey-Prieto, Marta:
 Univ Politecn Cataluna, Dept Mech Engn, Biomech Engn Lab, Barcelona 08028, Spain

 Univ Politecn Cataluna, Res Ctr Biomed Engn, Barcelona 08028, Spain

 Inst Recerca St Joan Deu, Esplugas de Llobregat 08950, Spain

Salazar-Del Rio, Miguel:
 Univ Politecn Cataluna, Dept Mech Engn, Biomech Engn Lab, Barcelona 08028, Spain

 Univ Politecn Cataluna, Res Ctr Biomed Engn, Barcelona 08028, Spain

 Inst Recerca St Joan Deu, Esplugas de Llobregat 08950, Spain

Lopez-Matas, Helena:
 ABLE Human Mot, Barcelona 08028, Spain

Guirao-Cano, Lluis:
 Hosp Univ Mutua Terrassa, Terrassa 08221, Spain

Font-Llagunes JM:
 Univ Politecn Cataluna, Dept Mech Engn, Biomech Engn Lab, Barcelona 08028, Spain

 Univ Politecn Cataluna, Res Ctr Biomed Engn, Barcelona 08028, Spain

 Inst Recerca St Joan Deu, Esplugas de Llobregat 08950, Spain

Lobo-Prat, Joan:
 ABLE Human Mot, Barcelona 08028, Spain
ISSN: 15344320





IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
Editorial
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141, Estados Unidos America
Tipo de documento: Article
Volumen: 31 Número:
Páginas: 3265-3274
WOS Id: 001051704500003
ID de PubMed: 37556332
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