{"title":"使用CNN的自动癫痫分类","authors":"P. Yaswanth, Pranav A, R. Minu","doi":"10.1109/ICCSP48568.2020.9182338","DOIUrl":null,"url":null,"abstract":"In our world around one-third of people are suffering from seizures and these people must have a continuous optimal medication process. Now a day’s systems are developed with an algorithm for the detection of a seizure by using EEG data, sensors, and video/audio captures. But it still unclear what combination of technologies will give the best output of detection.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automatic Seizure Classification using CNN\",\"authors\":\"P. Yaswanth, Pranav A, R. Minu\",\"doi\":\"10.1109/ICCSP48568.2020.9182338\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In our world around one-third of people are suffering from seizures and these people must have a continuous optimal medication process. Now a day’s systems are developed with an algorithm for the detection of a seizure by using EEG data, sensors, and video/audio captures. But it still unclear what combination of technologies will give the best output of detection.\",\"PeriodicalId\":321133,\"journal\":{\"name\":\"2020 International Conference on Communication and Signal Processing (ICCSP)\",\"volume\":\"64 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Communication and Signal Processing (ICCSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSP48568.2020.9182338\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Communication and Signal Processing (ICCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSP48568.2020.9182338","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In our world around one-third of people are suffering from seizures and these people must have a continuous optimal medication process. Now a day’s systems are developed with an algorithm for the detection of a seizure by using EEG data, sensors, and video/audio captures. But it still unclear what combination of technologies will give the best output of detection.
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