Validation of a convolutional neural network that reliably identifies electromyographic compound motor action potentials following train-of-four stimulation: an algorithm development experimental study—Reply to: Br J Anaesth Open 2024:100264.
Author:
Funder
National Institutes of Health
Publisher
Elsevier BV
Reference7 articles.
1. Validation of a convolutional neural network that reliably identifies electromyographic compound motor action potentials following train-of-four stimulation: an algorithm development experimental study;Epstein;BJA Open,2023
2. Validation of a convolutional neural network that reliably identifies electromyographic compound motor action potentials following train-of-four stimulation. Comment on Br J Anaesth Open. 2023; 8:100236.;Silliman;Br J Anaesth Open,2024
3. The level of neuromuscular block needed to suppress diaphragmatic movement during tracheal suction in patients with raised intracranial pressure: a study with vecuronium and atracurium;Werba;Anaesthesia,1993
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