{"title":"基于IMU和低功耗处理器的实时癫痫检测设计","authors":"Yu-Ju Su, K. Wen, M. Cheng, Chen-Nen Chang","doi":"10.1109/BMEiCON56653.2022.10012112","DOIUrl":null,"url":null,"abstract":"In this work, we proposed a system that supplies real-time epilepsy detection system (RED system) with a single inertial measurement unit (IMU) and a low power processing unit. Since the accuracy can reach 99.81%, the specificity can reach 99.81%, and false positive rate of 0.19%, it not only ensures reliability but also provides a quantification analysis for diagnosis. The proposed method has been verified by 60 patients and the processing unit has been implemented into a chip using TSMC 0.18 μm process, which proves the feasibility of mobile device to the RED system.","PeriodicalId":177401,"journal":{"name":"2022 14th Biomedical Engineering International Conference (BMEiCON)","volume":"48 16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Real-Time Epilepsy Detection with IMU and Low Power Processor Design\",\"authors\":\"Yu-Ju Su, K. Wen, M. Cheng, Chen-Nen Chang\",\"doi\":\"10.1109/BMEiCON56653.2022.10012112\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, we proposed a system that supplies real-time epilepsy detection system (RED system) with a single inertial measurement unit (IMU) and a low power processing unit. Since the accuracy can reach 99.81%, the specificity can reach 99.81%, and false positive rate of 0.19%, it not only ensures reliability but also provides a quantification analysis for diagnosis. The proposed method has been verified by 60 patients and the processing unit has been implemented into a chip using TSMC 0.18 μm process, which proves the feasibility of mobile device to the RED system.\",\"PeriodicalId\":177401,\"journal\":{\"name\":\"2022 14th Biomedical Engineering International Conference (BMEiCON)\",\"volume\":\"48 16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 14th Biomedical Engineering International Conference (BMEiCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BMEiCON56653.2022.10012112\",\"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 14th Biomedical Engineering International Conference (BMEiCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BMEiCON56653.2022.10012112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real-Time Epilepsy Detection with IMU and Low Power Processor Design
In this work, we proposed a system that supplies real-time epilepsy detection system (RED system) with a single inertial measurement unit (IMU) and a low power processing unit. Since the accuracy can reach 99.81%, the specificity can reach 99.81%, and false positive rate of 0.19%, it not only ensures reliability but also provides a quantification analysis for diagnosis. The proposed method has been verified by 60 patients and the processing unit has been implemented into a chip using TSMC 0.18 μm process, which proves the feasibility of mobile device to the RED system.
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