The Combined Effects of Adaptive Control and Virtual Reality on Robot-Assisted Fine Hand Motion Rehabilitation in Chronic Stroke Patients: A Case Study.
J Stroke Cerebrovasc Dis
; 27(1): 221-228, 2018 Jan.
Article
em En
| MEDLINE
| ID: mdl-28919312
ABSTRACT
Robot-assisted therapy is regarded as an effective and reliable method for the delivery of highly repetitive training that is needed to trigger neuroplasticity following a stroke. However, the lack of fully adaptive assist-as-needed control of the robotic devices and an inadequate immersive virtual environment that can promote active participation during training are obstacles hindering the achievement of better training results with fewer training sessions required. This study thus focuses on these research gaps by combining these 2 key components into a rehabilitation system, with special attention on the rehabilitation of fine hand motion skills. The effectiveness of the proposed system is tested by conducting clinical trials on a chronic stroke patient and verified through clinical evaluation methods by measuring the key kinematic features such as active range of motion (ROM), finger strength, and velocity. By comparing the pretraining and post-training results, the study demonstrates that the proposed method can further enhance the effectiveness of fine hand motion rehabilitation training by improving finger ROM, strength, and coordination.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Robótica
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Adaptação Psicológica
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Jogos de Vídeo
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Acidente Vascular Cerebral
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Terapia de Exposição à Realidade Virtual
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Reabilitação do Acidente Vascular Cerebral
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Mãos
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Atividade Motora
Tipo de estudo:
Diagnostic_studies
Limite:
Aged
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article