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EEG signal analysis of patients with obstructive sleep apnea syndrome (OSAS) using power spectrum and fuzzy entropy
Szu Yu Lin,
Yu Te Wu
, Wei Chung Mao, Po Shan Wang
生醫光電研究所
研究成果
:
Conference contribution
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同行評審
3
引文 斯高帕斯（Scopus）
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Keyphrases
Fuzzy Entropy
100%
Electroencephalogram Signal Analysis
100%
Obstructive Sleep Apnea-hypopnea Syndrome (OSAHS)
100%
Power Spectrum Entropy
100%
Principal Coordinate Analysis (PCoA)
66%
Discriminant Analysis
66%
Sleep Apnea
33%
Classification Accuracy
33%
Electroencephalography
33%
Spectral Analysis
33%
Electroencephalogram
33%
Linear Support Vector Machine
33%
Liner
33%
Power Spectrum
33%
K-nearest
33%
Brain Activity
33%
Human Body
33%
Most Common Form
33%
5-fold Cross Validation
33%
Electroencephalogram Analysis
33%
Sleep Electroencephalography
33%
Upper Airway Obstruction
33%
Biochemistry, Genetics and Molecular Biology
Power Spectra
100%
Electroencephalogram
100%
Principal Component Analysis
40%
Support Vector Machine
20%
K Nearest Neighbor
20%
Neuroscience
Obstructive Sleep Apnea
100%
Electroencephalogram
100%
Support Vector Machine
20%
Chemistry
Spectroscopy
100%