EEG Signals Analysis Using Multiscale Entropy for Depth of Anesthesia Monitoring during Surgery through Artificial Neural Networks.
about
Objective methods for the assessment of the spinal and supraspinal effects of opioids.EEG artifacts reduction by multivariate empirical mode decomposition and multiscale entropy for monitoring depth of anaesthesia during surgery.HRV-derived data similarity and distribution index based on ensemble neural network for measuring depth of anaesthesia.Sample Entropy on Multidistance Signal Level Difference for Epileptic EEG ClassificationDo Complexity Measures of Frontal EEG Distinguish Loss of Consciousness in Geriatric Patients Under Anesthesia?
P2860
EEG Signals Analysis Using Multiscale Entropy for Depth of Anesthesia Monitoring during Surgery through Artificial Neural Networks.
description
2015 nî lūn-bûn
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2015年の論文
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2015年論文
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2015年論文
@zh-hant
2015年論文
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2015年論文
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2015年論文
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2015年论文
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2015年论文
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2015年论文
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name
EEG Signals Analysis Using Mul ...... gh Artificial Neural Networks.
@ast
EEG Signals Analysis Using Mul ...... gh Artificial Neural Networks.
@en
type
label
EEG Signals Analysis Using Mul ...... gh Artificial Neural Networks.
@ast
EEG Signals Analysis Using Mul ...... gh Artificial Neural Networks.
@en
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EEG Signals Analysis Using Mul ...... gh Artificial Neural Networks.
@ast
EEG Signals Analysis Using Mul ...... gh Artificial Neural Networks.
@en
P2093
P2860
P356
P1476
EEG Signals Analysis Using Mul ...... ugh Artificial Neural Networks
@en
P2093
Jiann-Shing Shieh
Maysam F Abbod
Yi-Feng Chen
P2860
P304
P356
10.1155/2015/232381
P50
P577
2015-09-28T00:00:00Z