Back to search

Article

A deep CNN framework for neural drive estimation from HD-EMG across contraction intensities and joint angles

2022-01-20

Abstract excerpt

<h4>Objective</h4> Previous studies have demonstrated promising results in estimating the neural drive to muscles, the net output of all motoneurons that innervate the muscle, using high-density electromyography (HD-EMG) for the purpose of interfacing with assistive technologies. Despite the high estimation accuracy, current methods based on neural networks need to be trained with specific motor unit action poten...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
7154f3af-0d43-5bf7-9cab-885273c06212
DOI
10.1101/2022.01.17.476688
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A deep CNN framework for neural drive estimation from HD-EMG across contraction intensities and joint anglesDOI 10.1101/2022.01.17.476688
Select a neighboring publication to make it the new centre.