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

• DOI: 10.1016/j.clinph.2023.10.008
• Publication Date: 2023-11-03T19:41:57Z
• Authors: Deborah Hubers; Wouter Potters; Olivier Paalvast; Sterre de Jonge; Brian Doelkahar; Martijn Tannemaat; Luuk Wieske; Camiel Verhamme
• Keywords: Motor unit; Rest (music)

To develop an artificial neural network (ANN) for classification of motor unit action potential (MUAP) duration in real-word, unselected and uncleaned needle electromyography (n-EMG) recordings.