Back to search

Article

Comparative Evaluation of the Time, Frequency, and Time‒Frequency Domain Features of EMG Signals for Neural Network-Based Classification of Upper Limb Kinematics

2026-04-15

Abstract excerpt

<title>Abstract</title> <p>Prosthetic devices have significantly evolved from passive mechanical limbs to intelligent systems capable of mimicking natural movement. Modern prosthetics aim to restore lost functionality by integrating biosignals such as electromyography (EMG), which captures electrical activity generated by muscle contractions. The EMG serves as a vital interface between human intention and prosthe...

Topics

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

Identifiers and source

Literature Corpus work
683b5185-ff4b-5db5-84d3-368f19cf7b30
DOI
10.21203/rs.3.rs-9382414/v1
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.
Comparative Evaluation of the Time, Frequency, and Time‒Frequency Domain Features of EMG Signals for Neural Network-Based Classification of Upper Limb KinematicsDOI 10.21203/rs.3.rs-9382414/v1
Select a neighboring publication to make it the new centre.