Automatic Classification of Sleep Stages using EEG Sub-bands based Time-spectral Features
2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)（2021）
摘要
Sleep scoring is proved of having major impact on treating various sleep oriented disorders. But achieving this task manually is very time consuming and long process. Hence, an efficient computer based system is required to carry out the epoch based multi-class sleep stages classification. Among all the polysomnography (PSG) signals, Electroencephalogram (EEG) provides valuable information for sle...
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关键词
Support vector machines,Time-frequency analysis,Technological innovation,Sensitivity,Sleep,Transforms,Feature extraction
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