Andres Dario Ortiz Beltran
A novel approach for Motor Unit Number Estimation: integrating artificial intelligence and high-density electromyography.
Rel. Taian Martins, Marco Gagliardi. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2024
Abstract
Determining the size and number of motor units within a specific muscle volume is essential for understanding both the function and structure of a muscle. This information is particularly relevant in the study of neuromuscular disorders, as it enables accurate diagnosis and monitoring of disease progression. Traditional Motor Unit Number Estimation (MUNE) techniques are of significant clinical interest as they provide a means to quantify the number of active motor units. Most MUNE techniques share the common approach of estimating motor units based on the ratio of the average electrical activity of a single motor unit to the maximal activity within the detection volume of the electrodes.
A critical aspect of this process is determining the minimum stimulation required to detect the electrical activity of a single motor unit
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