{"title":"脑机接口系统中信号处理的研究进展","authors":"N. Norani, W. Mansor, L. Khuan","doi":"10.1109/IECBES.2010.5742278","DOIUrl":null,"url":null,"abstract":"Brain computer interface system incorporating signal processing techniques augments human capabilities by providing a new interaction link with the outside world and is particularly relevant as an aid for paralyzed humans, and even for able-bodied people. This paper describes the essential components of BCI system, types and signal processing techniques used in the system. Several methods of electrode placement, filtering, feature extraction and EEG signal classifications are also discussed. Future improvements on BCI system are proposed based on the limitations that have been highlighted.","PeriodicalId":241343,"journal":{"name":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"40","resultStr":"{\"title\":\"A review of signal processing in brain computer interface system\",\"authors\":\"N. Norani, W. Mansor, L. Khuan\",\"doi\":\"10.1109/IECBES.2010.5742278\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Brain computer interface system incorporating signal processing techniques augments human capabilities by providing a new interaction link with the outside world and is particularly relevant as an aid for paralyzed humans, and even for able-bodied people. This paper describes the essential components of BCI system, types and signal processing techniques used in the system. Several methods of electrode placement, filtering, feature extraction and EEG signal classifications are also discussed. Future improvements on BCI system are proposed based on the limitations that have been highlighted.\",\"PeriodicalId\":241343,\"journal\":{\"name\":\"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"40\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IECBES.2010.5742278\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECBES.2010.5742278","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A review of signal processing in brain computer interface system
Brain computer interface system incorporating signal processing techniques augments human capabilities by providing a new interaction link with the outside world and is particularly relevant as an aid for paralyzed humans, and even for able-bodied people. This paper describes the essential components of BCI system, types and signal processing techniques used in the system. Several methods of electrode placement, filtering, feature extraction and EEG signal classifications are also discussed. Future improvements on BCI system are proposed based on the limitations that have been highlighted.
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