{"title":"用Bitalino装置分析人脑信号节奏","authors":"G’aniyev Alisher","doi":"10.1109/ICISCT55600.2022.10146782","DOIUrl":null,"url":null,"abstract":"this article discusses methods based on the EEG signal when creating brain-computer interface (BCI) applications and systems. In this, the stages of creating BCI systems with an EEG signal approach are explained in detail. The main aspect of the article is the creation of BCI systems by minimizing EEG signal recording electrodes.","PeriodicalId":332984,"journal":{"name":"2022 International Conference on Information Science and Communications Technologies (ICISCT)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of Human Brain Signal Rhythms Through a Bitalino Device\",\"authors\":\"G’aniyev Alisher\",\"doi\":\"10.1109/ICISCT55600.2022.10146782\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"this article discusses methods based on the EEG signal when creating brain-computer interface (BCI) applications and systems. In this, the stages of creating BCI systems with an EEG signal approach are explained in detail. The main aspect of the article is the creation of BCI systems by minimizing EEG signal recording electrodes.\",\"PeriodicalId\":332984,\"journal\":{\"name\":\"2022 International Conference on Information Science and Communications Technologies (ICISCT)\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Information Science and Communications Technologies (ICISCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICISCT55600.2022.10146782\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Information Science and Communications Technologies (ICISCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISCT55600.2022.10146782","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of Human Brain Signal Rhythms Through a Bitalino Device
this article discusses methods based on the EEG signal when creating brain-computer interface (BCI) applications and systems. In this, the stages of creating BCI systems with an EEG signal approach are explained in detail. The main aspect of the article is the creation of BCI systems by minimizing EEG signal recording electrodes.
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