An Improved Neural Network Bispectral Index Monitoring Algorithm in Time and Frequency DomainAn Improved Bispectral Index Monitoring Algorithm-Reference-Cited by-同舟云学术

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An Improved Neural Network Bispectral Index Monitoring Algorithm in Time and Frequency DomainAn Improved Bispectral Index Monitoring Algorithm

Published:2023-10-20 Issue: Volume: Page:645-650
ISSN:
Container-title:Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering
language:
Short-container-title:

Author:

Li Hongna¹^ORCID,Li Yuhan¹^ORCID,Zhou Jingjie²^ORCID

Affiliation:

1. Maritime College, Tianjin University of Technology, China

2. Tellyes Scientific Inc., China

Funder

Tianjin Municipal first-class undergraduate course (online and offline blended course)

Tianjin University of Technology School level Teaching

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3650400.3650507

Reference17 articles.

1. Monitoring the Awake and Anesthetized Unconscious States Using Bispectral Index and Electroencephalographic Connectivity Measures

2. Depth of anesthesia prediction via EEG signals using convolutional neural network and ensemble empirical mode decomposition

3. A Combinatorial Deep Learning Structure for Precise Depth of Anesthesia Estimation From EEG Signals

4. Prevention of Intraoperative Awareness in a High-Risk Surgical Population

5. Use of Multiple EEG Features and Artificial Neural Network to Monitor the Depth of Anesthesia

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