A Transformer-Based Prediction Method for Depth of Anesthesia During Target-Controlled Infusion of Propofol and Remifentanil

Accurately predicting anesthetic effects is essential for target-controlled infusion systems. The traditional (PK-PD) models for Bispectral index (BIS) prediction require manual selection of model parameters, which can be challenging in clinical settings. Recently proposed deep learning methods can...

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Principais autores:	Yongkang He, Siyuan Peng, Mingjin Chen, Zhijing Yang, Yuanhui Chen
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2023-01-01
סדרה:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
נושאים:	Depth of anesthesia prediction bispectral index transformer drug infusion history data imbalance
גישה מקוונת:	https://ieeexplore.ieee.org/document/10218321/
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