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A robot-assisted sensorimotor training program can improve proprioception and motor function in stroke survivors.
IEEE Int Conf Rehabil Robot ; 2019: 660-664, 2019 06.
Article en En | MEDLINE | ID: mdl-31374706
ABSTRACT
Proprioceptive deficits are common among stroke survivors and are associated with slower motor recovery, poorer upper limb motor function, and decreased self-care ability. Somatosensory feedback augmenting proprioception should enhance motor control after stroke, but available evidence is inconclusive. This study evaluated the effects of a robot-aided, somatosensory-focused training on proprioceptive acuity and motor performance in individuals with sub-acute and chronic stroke. Twelve stroke survivors completed two training sessions on two consecutive days. During training, participants used a haptic robotic wrist exoskeleton and made continuous, goal-directed wrist ab/adduction movements to a visual target while receiving vibro-tactile feedback. Proprioceptive acuity and active movement errors were assessed before, immediately after, and two days after intervention. Results showed significantly improved proprioceptive acuity at posttest and retention. Motor accuracy measures showed improvements, however these were not statistically significant. This study demonstrates the feasibility of robot-aided somatosensory rehabilitation training in stroke survivors.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Propiocepción / Robótica / Sobrevivientes / Accidente Cerebrovascular / Corteza Sensoriomotora / Actividad Motora Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: IEEE Int Conf Rehabil Robot Año: 2019 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Propiocepción / Robótica / Sobrevivientes / Accidente Cerebrovascular / Corteza Sensoriomotora / Actividad Motora Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: IEEE Int Conf Rehabil Robot Año: 2019 Tipo del documento: Article