{"title":"用于检测癫痫发作的基于视觉的系统的要求","authors":"Seyfali Mahini","doi":"10.33545/26633582.2023.v5.i1a.82","DOIUrl":null,"url":null,"abstract":"Epileptic seizures can pose a risk to those affected, which can be reduced by seizure monitoring. However, the automated vision-based detection of epileptic seizures comes with some challenges of computer vision. In this work, basic knowledge about epileptic seizures and relevant computer vision methods are presented. Based on this and other literature, requirements for a system for detecting seizures are derived and discussed","PeriodicalId":147954,"journal":{"name":"International Journal of Engineering in Computer Science","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Requirements for a vision-based system for detecting epileptic seizures\",\"authors\":\"Seyfali Mahini\",\"doi\":\"10.33545/26633582.2023.v5.i1a.82\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Epileptic seizures can pose a risk to those affected, which can be reduced by seizure monitoring. However, the automated vision-based detection of epileptic seizures comes with some challenges of computer vision. In this work, basic knowledge about epileptic seizures and relevant computer vision methods are presented. Based on this and other literature, requirements for a system for detecting seizures are derived and discussed\",\"PeriodicalId\":147954,\"journal\":{\"name\":\"International Journal of Engineering in Computer Science\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Engineering in Computer Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33545/26633582.2023.v5.i1a.82\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Engineering in Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33545/26633582.2023.v5.i1a.82","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Requirements for a vision-based system for detecting epileptic seizures
Epileptic seizures can pose a risk to those affected, which can be reduced by seizure monitoring. However, the automated vision-based detection of epileptic seizures comes with some challenges of computer vision. In this work, basic knowledge about epileptic seizures and relevant computer vision methods are presented. Based on this and other literature, requirements for a system for detecting seizures are derived and discussed
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