Artificial intelligence-based classification of motor unit action potentials in real-world needle EMG recordings.

Deborah HubersWouter PottersOlivier PaalvastSterre de JongeBrian DoelkaharMartijn TannemaatLuuk WieskeCamiel Verhamme

Published in: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology (2023)

This is the first study to show that an ANN can classify MUAPs in real-world n-EMG recordings highlighting the potential for AI assisted MUAP classification as a clinical tool.

Keyphrases

artificial intelligence
deep learning
machine learning
big data
high density
ultrasound guided
upper limb
risk assessment