Depth of anesthesia prediction via EEG signals using convolutional neural network and ensemble empirical mode decomposition
According to a recently conducted survey on surgical complication mortality rate, 47% of such cases are due to anesthetics overdose. This indicates that there is an urgent need to moderate the level of anesthesia. Recently deep learning (DL) methods have played a major role in estimating the depth o...
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Auteurs principaux: | Ravichandra Madanu, Farhan Rahman, Maysam F. Abbod, Shou-Zen Fan, Jiann-Shing Shieh |
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Format: | article |
Langue: | EN |
Publié: |
AIMS Press
2021
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Accès en ligne: | https://doaj.org/article/eaf41bbfae364d2fbdb77b6c79ceb3ab |
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