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MEPICA.m - Classifying motor evoked potentials in active muscles using reconstruction independent component analysis

Dataset

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.
Date made available3 Jul 2024
PublisherZenodo

Dataset Licences

  • CC-BY-4.0

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