MEPICA.m - Classifying motor evoked potentials in active muscles using reconstruction independent component analysis
Description
MEPICA.m is a MATLAB class for analysing motor evoked potential signals in active muscles, based on reconstruction independent component analysis. The class can be used for determining active motor thresholds, latencies, and other features of the MEP signals.
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2024
Type of data
Authors
Department of Electrical Engineering and Automation
Ilkka Laakso 
Zenodo - Publisher
Project
Other information
Fields of science
Computer and information sciences
Language
Open access
Open