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Volumn 18, Issue 3, 2006, Pages 138-143
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A new approach for identifying sleep apnea syndrome using wavelet transform and neural networks
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Author keywords
EEG; Sleep apnea syndrome; Wavelet transform
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Indexed keywords
DIAGNOSIS;
ELECTROENCEPHALOGRAPHY;
NEURAL NETWORKS;
SENSITIVITY ANALYSIS;
WAVELET TRANSFORMS;
MULTI RESOLUTION WAVELET TRANSFORMS;
SLEEP APNEA SYNDROME (SAS);
WAVELET COEFFICIENT;
BIOMEDICAL ENGINEERING;
ALPHA RHYTHM;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
BETA RHYTHM;
CONTROLLED STUDY;
DELTA RHYTHM;
ELECTROENCEPHALOGRAPHY;
HUMAN;
RECOGNITION;
SENSITIVITY AND SPECIFICITY;
SIGNAL TRANSDUCTION;
SLEEP APNEA SYNDROME;
THETA RHYTHM;
TRAINING;
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EID: 33745928473
PISSN: 10162372
EISSN: None
Source Type: Journal
DOI: 10.4015/S1016237206000233 Document Type: Article |
Times cited : (79)
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References (7)
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