Spectrum Analysis of EEG Signals Using CNN to Model Patient’s Consciousness Level Based on Anesthesiologists’ Experience

One of the most challenging predictive data analysis efforts is an accurate prediction of depth of anesthesia (DOA) indicators which has attracted growing attention since it provides patients a safe surgical environment in case of secondary damage caused by intraoperative awareness or brain injury....

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Bibliografiska uppgifter

Huvudupphov:	Quan Liu, Jifa Cai, Shou-Zen Fan, Maysam F. Abbod, Jiann-Shing Shieh, Yuchen Kung, Longsong Lin
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	IEEE 2019-01-01
Serie:	IEEE Access
Ämnen:	Depth of anesthesia convolutional neural network electroencephalography short-time Fourier transform
Länkar:	https://ieeexplore.ieee.org/document/8695791/
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