基于VHDL的眼电信号分类

15th International Conference on Advanced Computing and Communications (ADCOM 2007) Pub Date : 2007-12-18 DOI:10.1109/ADCOM.2007.135

T. Gandhi, M. Trikha, J. Santosh, S. Anand

{"title":"基于VHDL的眼电信号分类","authors":"T. Gandhi, M. Trikha, J. Santosh, S. Anand","doi":"10.1109/ADCOM.2007.135","DOIUrl":null,"url":null,"abstract":"technique for classification of multiple channel Electrooculogram signals (EOG) using VHDL based Hardware. The classifier is based on Deterministic Finite Automata (DFA). The system is capable of classifying sixteen different EOG signals. The viability of the system was tested by performing online experiments with able bodied subjects. Index Terms: DFA (Deterministic Finite Automata), EOG (Electro Oculogram), VHDL (Very High speed Hardware description Language","PeriodicalId":185608,"journal":{"name":"15th International Conference on Advanced Computing and Communications (ADCOM 2007)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"VHDL Based Electro-Oculogram Signal Classification\",\"authors\":\"T. Gandhi, M. Trikha, J. Santosh, S. Anand\",\"doi\":\"10.1109/ADCOM.2007.135\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"technique for classification of multiple channel Electrooculogram signals (EOG) using VHDL based Hardware. The classifier is based on Deterministic Finite Automata (DFA). The system is capable of classifying sixteen different EOG signals. The viability of the system was tested by performing online experiments with able bodied subjects. Index Terms: DFA (Deterministic Finite Automata), EOG (Electro Oculogram), VHDL (Very High speed Hardware description Language\",\"PeriodicalId\":185608,\"journal\":{\"name\":\"15th International Conference on Advanced Computing and Communications (ADCOM 2007)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"15th International Conference on Advanced Computing and Communications (ADCOM 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ADCOM.2007.135\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"15th International Conference on Advanced Computing and Communications (ADCOM 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ADCOM.2007.135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 11

摘要

基于VHDL的多通道眼电信号分类技术。该分类器基于确定性有限自动机(DFA)。该系统能够对16种不同的EOG信号进行分类。通过对健全人进行在线实验，验证了该系统的可行性。索引术语:DFA(确定性有限自动机)，EOG(电眼图)，VHDL(非常高速硬件描述语言)

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

VHDL Based Electro-Oculogram Signal Classification

technique for classification of multiple channel Electrooculogram signals (EOG) using VHDL based Hardware. The classifier is based on Deterministic Finite Automata (DFA). The system is capable of classifying sixteen different EOG signals. The viability of the system was tested by performing online experiments with able bodied subjects. Index Terms: DFA (Deterministic Finite Automata), EOG (Electro Oculogram), VHDL (Very High speed Hardware description Language

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

15th International Conference on Advanced Computing and Communications (ADCOM 2007)

自引率

0.00%

发文量