Control of prosthetic hand by using mechanomyography signals based on support-vector machine classifier

Volume: 23, Issue: 2, Pages: 1180 - 1180
Published: Aug 1, 2021
Abstract
<div>Prosthetic devices are necessary to help amputees achieve their daily activity in the natural way possible. The prosthetic hand has controlled by type of signals such as electromyography (EMG) and mechanomyography (MMG). The MMG signals have represented mechanical signals that generate during muscle contraction. These signals can be detected by accelerometers or microphones and any kind of sensors that can detect muscle vibrations....
Paper Details
Title
Control of prosthetic hand by using mechanomyography signals based on support-vector machine classifier
Published Date
Aug 1, 2021
Volume
23
Issue
2
Pages
1180 - 1180
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.