M. S. A. Megat Ali, M. Taib, N. Md. Tahir, A. H. Jahidin
{"title":"脑电谱质心幅值与频带功率特征的相关性分析","authors":"M. S. A. Megat Ali, M. Taib, N. Md. Tahir, A. H. Jahidin","doi":"10.1109/ICSGRC.2014.6908726","DOIUrl":null,"url":null,"abstract":"The paper elaborates on the correlation analysis between the proposed EEG sub-band spectral centroid amplitude with the established band power features. The study involves recording of resting EEG from 40 healthy university students. Initially, the EEG is pre-processed for noise removal and filtered into delta, theta, alpha and beta waves using band-pass filters. Next, the sub-band power spectral densities are estimated via Welch method. Subsequently, spectral centroid amplitude and band power features are then computed from the power spectral density of the respective sub-bands. Correlation analysis between the two features is performed for each scalp location to ascertain its relationship. Findings have revealed that the EEG sub-band spectral centroid amplitude is highly correlated with the band power features for all scalp locations.","PeriodicalId":367680,"journal":{"name":"2014 IEEE 5th Control and System Graduate Research Colloquium","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"EEG spectral centroid amplitude and band power features: A correlation analysis\",\"authors\":\"M. S. A. Megat Ali, M. Taib, N. Md. Tahir, A. H. Jahidin\",\"doi\":\"10.1109/ICSGRC.2014.6908726\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper elaborates on the correlation analysis between the proposed EEG sub-band spectral centroid amplitude with the established band power features. The study involves recording of resting EEG from 40 healthy university students. Initially, the EEG is pre-processed for noise removal and filtered into delta, theta, alpha and beta waves using band-pass filters. Next, the sub-band power spectral densities are estimated via Welch method. Subsequently, spectral centroid amplitude and band power features are then computed from the power spectral density of the respective sub-bands. Correlation analysis between the two features is performed for each scalp location to ascertain its relationship. Findings have revealed that the EEG sub-band spectral centroid amplitude is highly correlated with the band power features for all scalp locations.\",\"PeriodicalId\":367680,\"journal\":{\"name\":\"2014 IEEE 5th Control and System Graduate Research Colloquium\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 5th Control and System Graduate Research Colloquium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSGRC.2014.6908726\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 5th Control and System Graduate Research Colloquium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSGRC.2014.6908726","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
EEG spectral centroid amplitude and band power features: A correlation analysis
The paper elaborates on the correlation analysis between the proposed EEG sub-band spectral centroid amplitude with the established band power features. The study involves recording of resting EEG from 40 healthy university students. Initially, the EEG is pre-processed for noise removal and filtered into delta, theta, alpha and beta waves using band-pass filters. Next, the sub-band power spectral densities are estimated via Welch method. Subsequently, spectral centroid amplitude and band power features are then computed from the power spectral density of the respective sub-bands. Correlation analysis between the two features is performed for each scalp location to ascertain its relationship. Findings have revealed that the EEG sub-band spectral centroid amplitude is highly correlated with the band power features for all scalp locations.