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In this context, we explore the feasibility of using electromyography (EMG) signals to control a wearable exotendon device to enable pick and place tasks. We ...
Abstract—Wearable orthoses can function both as assistive devices, which allow the user to live independently, and as rehabilitation devices, which allow ...
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EMG pattern classification to control a hand orthosis for functional grasp assistance after stroke. from www.semanticscholar.org
The feasibility of using electromyography (EMG) signals to control a wearable exotendon device to enable pick and place tasks and the results support the ...
Feb 1, 2018 · In this context, we explore the feasibility of using electromyography (EMG) signals to control a wearable exotendon device to enable pick and ...
Jul 17, 2017 · EMG pattern classification to control a hand orthosis for functional grasp assistance after stroke. Authors: Author Picture Cassie Meeker.
“EMG Pattern Classification to Control a Hand Orthosis for Functional Grasp Assistance after Stroke”, IEEE International Conference on Rehabilitation ...
Jul 12, 2022 · We propose a disagreement-based semi-supervised learning algorithm to help our orthosis adapt to intrasession concept drift when the device ...
A pilot study was conducted to test the feasibility of using electromyographic signals to drive an active orthosis for hand therapy after stroke.
The function of exoskeleton ranges from assistance of broad grasp ... Robot training for hand motor recovery in subacute stroke patients: a randomized controlled ...
Mar 19, 2024 · We propose MetaEMG, a meta-learning approach for fast adaptation in intent inferral on a robotic hand orthosis for stroke.