C. Kezi Selva Vijilal, P. Kanagasabapathy, Stanly Johnson Jeyaraj, V. Ewards
{"title":"Artifacts Removal in EEG Signal using Adaptive Neuro Fuzzy Inference System","authors":"C. Kezi Selva Vijilal, P. Kanagasabapathy, Stanly Johnson Jeyaraj, V. Ewards","doi":"10.1109/ICSCN.2007.350676","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a hybrid soft computing technique called adaptive neuro-fuzzy inference system (ANFIS) to estimate the interference and to separate the electroencephalogram (EEG) signal from its electrooculogram (EOG), electrocardiogram (ECG) and electromyogram (EMG) artifacts. This paper shows that the proposed method successfully removes the artifacts and extracts the desired EEG signal","PeriodicalId":257948,"journal":{"name":"2007 International Conference on Signal Processing, Communications and Networking","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Signal Processing, Communications and Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCN.2007.350676","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20
Abstract
In this paper, we propose a hybrid soft computing technique called adaptive neuro-fuzzy inference system (ANFIS) to estimate the interference and to separate the electroencephalogram (EEG) signal from its electrooculogram (EOG), electrocardiogram (ECG) and electromyogram (EMG) artifacts. This paper shows that the proposed method successfully removes the artifacts and extracts the desired EEG signal