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Volumn 17, Issue 1, 1995, Pages 797-798
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Neural networks for predicting depth of anesthesia from auditory evoked potentials: a comparison of the wavelet transform with autoregressive modeling and power spectrum feature extraction methods
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Author keywords
[No Author keywords available]
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Indexed keywords
ALGORITHMS;
BACKPROPAGATION;
DATA COMPRESSION;
FEATURE EXTRACTION;
FREQUENCY DOMAIN ANALYSIS;
MATHEMATICAL MODELS;
NEURAL NETWORKS;
PERFORMANCE;
SIGNAL TO NOISE RATIO;
TIME DOMAIN ANALYSIS;
WAVELET TRANSFORMS;
ANESTHESIA;
AUTOREGRESSIVE MODELING;
DEPTH OF ANESTHESIA;
MIDLATENCY AUDITORY EVOKED POTENTIALS;
POWER SPECTRUM;
BIOELECTRIC POTENTIALS;
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EID: 0029428834
PISSN: 05891019
EISSN: None
Source Type: Conference Proceeding
DOI: None Document Type: Conference Paper |
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Times cited : (3)
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References (6)
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