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Robot-assisted virtual scenario training combined with scalp acupuncture can relieve cognitive impairment among stroke survivors / 中华物理医学与康复杂志
Artículo en Chino | WPRIM (Pacífico Occidental) | ID: wpr-1029458
Biblioteca responsable: WPRO
ABSTRACT

Objective:

To explore any effect of combining robot-assisted virtual scenario training of the upper limbs with scalp acupuncture on post-stroke cognitive impairment.

Methods:

Ninety patients with post-stroke cognitive impairment (PSCI) were divided at random into a control group, a scalp acupuncture group and a comprehensive group, each of 30. In addition to routine health education and rehabilitation training, the scalp acupuncture group was given scalp acupuncture, while the comprehensive group was treated with scalp acupuncture and virtual scenario training with an upper limb robot. Before and after 4 weeks of the treatment, the subjects′ cognitive functioning was assessed using the Mini-mental State Examination (MMSE) and the Montreal Cognitive Assessment scale (MoCA). Ability in the activities of daily living (ADL) was quantified using the Modified Barthel Index (MBI).

Results:

After the intervention, significant improvement was observed in the average MMSE, MoCA and MBI scores of all three groups. The average MMSE and MBI scores of the scalp acupuncture group were then significantly higher than the control group′s averages, while the average MMSE, MoCA and MBI scores of the comprehensive group were all significantly better than those of the other two groups.

Conclusion:

Robot-assisted virtual scenario upper limb training combined with scalp acupuncture can significantly improve the cognition and ADL ability of PSCI patients.

Texto completo: Disponible Base de datos: WPRIM (Pacífico Occidental) Idioma: Chino Revista: Chinese Journal of Physical Medicine and Rehabilitation Año: 2024 Tipo del documento: Artículo
Texto completo: Disponible Base de datos: WPRIM (Pacífico Occidental) Idioma: Chino Revista: Chinese Journal of Physical Medicine and Rehabilitation Año: 2024 Tipo del documento: Artículo
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