Validation of a convolutional neural network that reliably identifies electromyographic compound motor action potentials following train-of-four stimulation: an algorithm development experimental study

Validation of a convolutional neural network that reliably identifies electromyographic compound motor action potentials following train-of-four stimulation: an algorithm development experimental study

Background: International guidelines recommend quantitative neuromuscular monitoring when administering neuromuscular blocking agents. The train-of-four count is important for determining the depth of block and appropriate reversal agents and doses. However, identifying valid compound motor action p...

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Bibliographic Details
Main Authors: Richard H. Epstein, Olivia F. Perez, Ira S. Hofer, J Ross Renew, Réka Nemes, Sorin J. Brull
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:BJA Open
Subjects:
electromyography
machine learning
neural network
neuromuscular block
train-of-four
Online Access:http://www.sciencedirect.com/science/article/pii/S2772609623001156

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http://www.sciencedirect.com/science/article/pii/S2772609623001156

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