Myoelectric Pattern Recognition for Controlling a Robotic Hand: A Feasibility Study in Stroke

Volume: 66, Issue: 2, Pages: 365 - 372
Published: Feb 1, 2019
Abstract
Myoelectric pattern recognition has been successfully applied as a human-machine interface to control robotic devices such as prostheses and exoskeletons, significantly improving the dexterity of myoelectric control. This study investigates the feasibility of applying myoelectric pattern recognition for controlling a robotic hand in stroke patients.Myoelectric pattern recognition of six hand motion patterns was performed using forearm...
Paper Details
Title
Myoelectric Pattern Recognition for Controlling a Robotic Hand: A Feasibility Study in Stroke
Published Date
Feb 1, 2019
Volume
66
Issue
2
Pages
365 - 372
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.