Original paper

Spatially Filtered Low-Density EMG and Time-Domain Descriptors Improves Hand Movement Recognition

Published: Jul 1, 2019
Abstract
Surface Electromyogram (EMG) pattern recognition has long been utilized for controlling multifunctional myoelectric prostheses. In such an application, a number of EMG channels are usually utilized to acquire more information about the underlying activity of the remaining muscles in the amputee stump. However, despite the multichannel nature of this application, the extracted features are usually acquired from each channel individually, without...
Paper Details
Title
Spatially Filtered Low-Density EMG and Time-Domain Descriptors Improves Hand Movement Recognition
Published Date
Jul 1, 2019
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.