Eight participants with tetraplegia (C4C7) piloted three different postures in a robotic hand. We achieved 89% accuracy using the supervised learning algorithm.
Abstract—Spinal cord injury (SCI), stroke and other nervous system conditions can result in partial or total paralysis of in- dividual's limbs.
Eight participants with tetraplegia (C4C7) piloted three different postures in a robotic hand. We achieved 89% accuracy using the supervised learning algorithm.
Eight participants with tetraplegia (C4C7) piloted three different postures in a robotic hand. We achieved 89% accuracy using the supervised learning algorithm.
A Residual Movement Classification Based User Interface for Control of ...
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Our hypothesis is that users with complete tetraplegia and no hand function, but that can still move their shoulders, may be capable of using these residual ...
Feb 3, 2023 · In this chapter, we will detail our approach to developing a home-use neuroprosthetic for individuals with tetraplegia, discuss challenges and opportunities ...
Investigating upper limb movement classification on users with tetraplegia as a possible neuroprosthesis interface ; Título: Investigating upper limb movement ...
Investigating upper limb movement classification on users with tetraplegia as a possible neuroprosthesis interface. 2018 40th Annual International ...
The purpose of this article is to introduce a three-tiered approach to evaluating motor function, with specific attention to the characteristics of weak and ...
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This supports the view that in high-level tetraplegic subjects, an initially moderate BCI performance cannot be improved by extensive training. However, this ...
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