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Objective: This study investigated upper limb kinematics and muscle co-activation in wheelchair tennis players during the forehand stroke. By analyzing linear and angular kinematic variables alongside muscle co-activation patterns, the study aimed to provide insights into the biomechanical mechanisms supporting forehand stroke performance.

Method: Fifteen professional male wheelchair tennis players (height: 163.

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Creating durable, motion-compliant neural interfaces is crucial for accessing dynamic tissues under in vivo conditions and linking neural activity with behaviors. Utilizing the self-alignment of nano-fillers in a polymeric matrix under repetitive tension, here, we introduce conductive carbon nanotubes with high aspect ratios into semi-crystalline polyvinyl alcohol hydrogels, and create electrically anisotropic percolation pathways through cyclic stretching. The resulting anisotropic hydrogel fibers (diameter of 187 ± 13 µm) exhibit fatigue resistance (up to 20,000 cycles at 20% strain) with a stretchability of 64.

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Plug-and-play myoelectric control via a self-calibrating random forest common model.

J Neural Eng

January 2025

School of Informatics, The University of Edinburgh, 10 Chricton Street, Edinburgh, EH8 9LE, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND.

Objective: Electromyographic (EMG) signals show large variabilities over time due to factors such as electrode shifting, user behaviour variations, etc., substantially degrading the performance of myoelectric control models in long-term use. Previously one-time model calibration was usually required each time before usage.

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Background: Awake bruxism involves masticatory muscle activity during wakefulness, potentially leading to clinical concerns. Accurate electromyography (EMG) assessment is challenging with brief durations.

Objective: To establish a reliable, short-term measure for nonfunctional masseter muscle activity during wakefulness.

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A classical observation in experimental psychology is a reduction in reaction time and response accuracy under time pressure (TP). This speed-accuracy tradeoff may be understood from the combined perspectives of affordance competition and urgency gating. This view implies that action programs compete with each other from stimulus onset until the final response.

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