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.

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Title: 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.
Authors: Epstein RH; Department of Anesthesiology, Pain Management and Perioperative Medicine, University of Miami Miller School of Medicine, Miami, FL, USA., Perez OF; Department of Anesthesiology, Pain Management and Perioperative Medicine, University of Miami Miller School of Medicine, Miami, FL, USA., Hofer IS; Department of Anesthesiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Renew JR; Department of Anesthesiology and Perioperative Medicine, Mayo Clinic College of Medicine and Science, Jacksonville, FL, USA., Nemes R; Department of Anesthesiology and Intensive Care, University of Debrecen, Debrecen, Hungary., Brull SJ; Department of Anesthesiology and Perioperative Medicine, Mayo Clinic College of Medicine and Science, Jacksonville, FL, USA.
Source: BJA open [BJA Open] 2024 Feb 28; Vol. 9, pp. 100265. Date of Electronic Publication: 2024 Feb 28 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Ltd Country of Publication: England NLM ID: 9918419157906676 Publication Model: eCollection Cited Medium: Internet ISSN: 2772-6096 (Electronic) Linking ISSN: 27726096 NLM ISO Abbreviation: BJA Open Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2772-6096
DOI:10.1016/j.bjao.2024.100265