Enhancing Anaesthesia Neuromuscular Blockade Monitoring with Computer Vision–Powered Train-of-Four Testing

Published: 29 September 2026| Version 1 | DOI: 10.17632/rf8jrhdnrp.1
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Description

These data describe initial validation and results of an in silico testing pipeline for a novel computer vision (CV) based assessment of quantitative train of four (qTOF) monitoring to detect depth of neuromuscular blockade. A CV model utiling openCV and MediaPipe was created to extract qTOF ratios from video input. Video snippets of simulated qTOF twitches on a rigged 3 dimensional human hand model were created and then analyzed by the CV model.

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Anesthesiology, Reversal Drug Used in Anesthesia, Clinical Neuromonitoring, Neuromuscular Blockade

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