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Signal processing and machine learning algorithm to classify anaesthesia depth

Oscar Mosquera Dussan1, Eduardo Tuta-Quintero1, Daniel A Botero-Rosas2

  • 1School of Medicine, Universidad de La Sabana, Chia, Colombia.

BMJ Health & Care Informatics
|October 4, 2023
PubMed
Summary

Monitoring anaesthetic depth (AD) is crucial for patient safety. This study developed a machine learning algorithm using biological signals to accurately classify AD during surgery, improving anaesthesiologist decision-making.

Keywords:
Computer SimulationComputer-AssistedData SystemsDecision MakingGeneral SurgeryMedical Informatics Computing

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