Validation of a convolutional neural network that reliably identifies electromyographic compound motor action potentials following train-of-four stimulation: an algorithm development experimental study (vol 8, 100236, 2023)

Journal article

Peer reviewed

Richard H. Epstein, Olivia F. Perez, Ira S. Hofer, J. Ross Renew, Reka Nemes and Sorin J. Brull

BJA open, Vol.9, 100266

2024-03-01

PMID: 38426049

Abstract

Anesthesiology

Life Sciences & Biomedicine

Science & Technology

url

https://doi.org/10.1016/j.bjao.2024.100266View

Published (Version of record) Open

1 Record Views

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 (vol 8, 100236, 2023)
Creators: Richard H. Epstein - University of Miami
Olivia F. Perez - University of Miami
Ira S. Hofer - Icahn School of Medicine at Mount Sinai
J. Ross Renew - Jacksonville College
Reka Nemes - University of Debrecen
Sorin J. Brull - Jacksonville College
Publication Details: BJA open, Vol.9, 100266
Publisher: Elsevier
Number of pages: 1
Academic Unit: Miller School of Medicine; UMMG Department of Anesthesiology
Language: English
Resource Type: Journal article
PMID: 38426049
Record Identifier: 991032759264602976