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Perception of Torque is Impacted by a Subset of Features Related to the Motor Command.
IEEE Trans Haptics ; 16(2): 194-203, 2023.
Article en En | MEDLINE | ID: mdl-37027580
Accurate perception of one's self-generated torques is integral to sensorimotor control. Here, we examined how features of the motor control task, specifically the variability, duration, muscle activation pattern, and magnitude of torque generation, relate to one's perception of torque. Nineteen participants generated and perceived 25% of their maximum voluntary torque (MVT) in elbow flexion while simultaneously abducting at their shoulder to 10%, 30%, or 50% of their MVT in shoulder abduction (MVT[Formula: see text]). Subsequently, participants matched the elbow torque without feedback and without activating their shoulder. The shoulder abduction magnitude affected the time to stabilize the elbow torque (p 0.001), but did not significantly impact the variability of generating the elbow torque (p = 0.120) or the co-contraction between the elbow flexor and extensor muscles (p = 0.265). The shoulder abduction magnitude influenced perception (p = 0.001) in that the error in matching the elbow torque increased with an increased shoulder abduction torque. However, the torque matching errors neither correlated with the time to stabilize and variability in generating the elbow torque, nor the co-contraction of the elbow muscles. These findings suggest that the total torque generated during a multi-joint task impacts the perception of a torque about a single joint; yet, effective and efficient generation of the torque about a single joint does not impact the torque percept.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Articulación del Codo / Percepción del Tacto Límite: Humans Idioma: En Revista: IEEE Trans Haptics Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Articulación del Codo / Percepción del Tacto Límite: Humans Idioma: En Revista: IEEE Trans Haptics Año: 2023 Tipo del documento: Article
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