MEPICA.m - Classifying motor evoked potentials in active muscles using reconstruction independent component analysis
Beskrivning
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
Typ av data
Upphovspersoner
Department of Electrical Engineering and Automation
Ilkka Laakso 
Zenodo - Utgivare
Projekt
Övriga uppgifter
Vetenskapsområden
Data- och informationsvetenskap
Språk
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Öppet