Decoding hand and wrist movement intention from chronic stroke survivors with hemiparesis using a user-friendly, wearable EMG-based neural interface

Decoding hand and wrist movement intention from chronic stroke survivors with hemiparesis using a user-friendly, wearable EMG-based neural interface

Abstract Objective Seventy-five percent of stroke survivors, caregivers, and health care professionals (HCP) believe current therapy practices are insufficient, specifically calling out the upper extremity as an area where innovation is needed to develop highly usable prosthetics/orthotics for the s...

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Bibliographic Details
Main Authors: Eric C. Meyers, David Gabrieli, Nick Tacca, Lauren Wengerd, Michael Darrow, Bryan R. Schlink, Ian Baumgart, David A. Friedenberg
Format: Article
Language:English
Published: BMC 2024-01-01
Series:Journal of NeuroEngineering and Rehabilitation
Online Access:https://doi.org/10.1186/s12984-023-01301-w

Internet

https://doi.org/10.1186/s12984-023-01301-w

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