Matches in SemOpenAlex for { <https://semopenalex.org/work/W1976291210> ?p ?o ?g. }
Showing items 1 to 64 of
64
with 100 items per page.
- W1976291210 endingPage "125s" @default.
- W1976291210 startingPage "124s" @default.
- W1976291210 abstract "Sleep stage scoring is a challenging task. Most of existing sleep stage classification approaches rely on analysing electroencephalography (EEG) signals in time or frequency domain. A novel technique for EEG sleep stages classification is proposed in this paper. The statistical features and the similarities of complex networks are used to classify single channel EEG signals into six sleep stages. Firstly, each EEG segment of 30 s is divided into 75 sub-segments, and then different statistical features are extracted from each sub-segment. In this paper, feature extraction is important to reduce dimensionality of EEG data and the processing time in classification stage. Secondly, each vector of the extracted features, which represents one EEG segment, is transferred into a complex network. Thirdly, the similarity properties of the complex networks are extracted and classified into one of the six sleep stages using a k-means classifier. For further investigation, in the statistical features extraction phase two statistical features sets are tested and ranked based on the performance of the complex networks. To investigate the classification ability of complex networks combined with k-means, the extracted statistical features were also forwarded to a k-means and a support vector machine (SVM) for comparison. We also compare the proposed method with other existing methods in the literature. The experimental results show that the proposed method attains better classification results and a reasonable execution time compared with the SVM, k-means and the other existing methods. The research results in this paper indicate that the proposed method can assist neurologists and sleep specialists in diagnosing and monitoring sleep disorders." @default.
- W1976291210 created "2016-06-24" @default.
- W1976291210 creator A5053386198 @default.
- W1976291210 date "2000-05-01" @default.
- W1976291210 modified "2023-10-18" @default.
- W1976291210 title "Introduction à la neuropsychologie des épilepsies" @default.
- W1976291210 cites W2007679382 @default.
- W1976291210 cites W2020402196 @default.
- W1976291210 cites W2031032652 @default.
- W1976291210 cites W2065760623 @default.
- W1976291210 cites W2208659200 @default.
- W1976291210 doi "https://doi.org/10.1016/s0929-693x(00)80008-1" @default.
- W1976291210 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/10904681" @default.
- W1976291210 hasPublicationYear "2000" @default.
- W1976291210 type Work @default.
- W1976291210 sameAs 1976291210 @default.
- W1976291210 citedByCount "0" @default.
- W1976291210 crossrefType "journal-article" @default.
- W1976291210 hasAuthorship W1976291210A5053386198 @default.
- W1976291210 hasConcept C111030470 @default.
- W1976291210 hasConcept C118552586 @default.
- W1976291210 hasConcept C12267149 @default.
- W1976291210 hasConcept C153180895 @default.
- W1976291210 hasConcept C154945302 @default.
- W1976291210 hasConcept C15744967 @default.
- W1976291210 hasConcept C2778205975 @default.
- W1976291210 hasConcept C2910364982 @default.
- W1976291210 hasConcept C41008148 @default.
- W1976291210 hasConcept C522805319 @default.
- W1976291210 hasConcept C52622490 @default.
- W1976291210 hasConcept C95623464 @default.
- W1976291210 hasConceptScore W1976291210C111030470 @default.
- W1976291210 hasConceptScore W1976291210C118552586 @default.
- W1976291210 hasConceptScore W1976291210C12267149 @default.
- W1976291210 hasConceptScore W1976291210C153180895 @default.
- W1976291210 hasConceptScore W1976291210C154945302 @default.
- W1976291210 hasConceptScore W1976291210C15744967 @default.
- W1976291210 hasConceptScore W1976291210C2778205975 @default.
- W1976291210 hasConceptScore W1976291210C2910364982 @default.
- W1976291210 hasConceptScore W1976291210C41008148 @default.
- W1976291210 hasConceptScore W1976291210C522805319 @default.
- W1976291210 hasConceptScore W1976291210C52622490 @default.
- W1976291210 hasConceptScore W1976291210C95623464 @default.
- W1976291210 hasLocation W19762912101 @default.
- W1976291210 hasLocation W19762912102 @default.
- W1976291210 hasOpenAccess W1976291210 @default.
- W1976291210 hasPrimaryLocation W19762912101 @default.
- W1976291210 hasRelatedWork W2041636156 @default.
- W1976291210 hasRelatedWork W2120008580 @default.
- W1976291210 hasRelatedWork W2126100045 @default.
- W1976291210 hasRelatedWork W2160451891 @default.
- W1976291210 hasRelatedWork W2336974148 @default.
- W1976291210 hasRelatedWork W2381773606 @default.
- W1976291210 hasRelatedWork W4225360039 @default.
- W1976291210 hasRelatedWork W4313203779 @default.
- W1976291210 hasRelatedWork W2187500075 @default.
- W1976291210 hasRelatedWork W2345184372 @default.
- W1976291210 hasVolume "7" @default.
- W1976291210 isParatext "false" @default.
- W1976291210 isRetracted "false" @default.
- W1976291210 magId "1976291210" @default.
- W1976291210 workType "article" @default.