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Detection of ERP and ERD/ERS patterns in single ECoG channels

被引：7
作者：
Graimann, B [1 ]
Huggins, JE [1 ]
Levine, SP [1 ]
Pfurtscheller, G [1 ]
机构：
[1] Graz Univ Technol, Dept Med Informat, Inst Biomed Engn, A-8010 Graz, Austria
来源：
1ST INTERNATIONAL IEEE EMBS CONFERENCE ON NEURAL ENGINEERING 2003, CONFERENCE PROCEEDINGS | 2003年
关键词：
direct brain interface (DBI); brain computer interface (BCI); event-related desynchronization (ERD); event-related synchronization (ERS); electrocorticogram (ECoG);
D O I：
10.1109/CNE.2003.1196903
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Wavelet packet analysis and a genetic algorithm were used to detect movement-related patterns in single channel electrocorticogram (ECoG). Detection accuracies of more than 90% hits and less than 10% false positives were found. The findings show that the detection of movement-related patterns in ECoG data can be used to reliably provide switch control directly by the brain and is therefore very suitable as the basis of a direct brain interface.
引用
收藏
页码：614 / 617
页数：4
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