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Robotic mirror therapy for stroke rehabilitation through virtual activities of daily living.
Nisar, Harris; Annamraju, Srikar; Deka, Shankar A; Horowitz, Anne; Stipanovic, Dusan M.
Afiliación
  • Nisar H; Health Care Engineering Systems Center, University of Illinois Urbana Champaign, 1206 W Clark St, Urbana 61801, IL, USA.
  • Annamraju S; Coordinated Science Laboratory, University of Illinois Urbana Champaign, 1308 W Main St, Urbana 61801, IL, USA.
  • Deka SA; Division of Decision and Control Systems at KTH Royal Institute of Technology, Brinellvägen 8, 114 28 Stockholm, Sweden.
  • Horowitz A; Outpatient Rehabilitation, OSF Healthcare Saint Francis Medical Center, 6501 N Sheridan Rd, Peoria, IL, USA.
  • Stipanovic DM; Coordinated Science Laboratory, University of Illinois Urbana Champaign, 1308 W Main St, Urbana 61801, IL, USA.
Comput Struct Biotechnol J ; 24: 126-135, 2024 Dec.
Article en En | MEDLINE | ID: mdl-38352631
ABSTRACT
Mirror therapy is a standard technique of rehabilitation for recovering motor and vision abilities of stroke patients, especially in the case of asymmetric limb function. To enhance traditional mirror therapy, robotic mirror therapy (RMT) has been proposed over the past decade, allowing for assisted bimanual coordination of paretic (affected) and contralateral (healthy) limbs. However, state-of-the-art RMT platforms predominantly target mirrored motions of trajectories, largely limited to 2-D motions. In this paper, an RMT platform is proposed, which can facilitate the patient to practice virtual activities of daily living (ADL) and thus enhance their independence. Two similar (but mirrored) 3D virtual environments are created in which the patients operate robots with both their limbs to complete ADL (such as writing and eating) with the assistance of the therapist. The recovery level of the patient is continuously assessed by monitoring their ability to track assigned trajectories. The patient's robots are programmed to assist the patient in following these trajectories based on this recovery level. In this paper, the framework to dynamically monitor recovery level and accordingly provide assistance is developed along with the nonlinear controller design to ensure position tracking, force control, and stability. Proof-of-concept studies are conducted with both 3D trajectory tracking and ADL. The results demonstrate the potential use of the proposed system to enhance the recovery of the patients.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Comput Struct Biotechnol J Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Comput Struct Biotechnol J Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Países Bajos