G. Tsamis, M. Grammatikakis, A. Papagrigoriou, P. Petrakis, Voula Piperaki, A. Mouzakitis, M. Coppola
{"title":"软实时智能手机心电处理","authors":"G. Tsamis, M. Grammatikakis, A. Papagrigoriou, P. Petrakis, Voula Piperaki, A. Mouzakitis, M. Coppola","doi":"10.1109/SIES.2017.7993395","DOIUrl":null,"url":null,"abstract":"Mobile health monitoring technology has the potential to bring a doctor’s office to the patient’s smartphone. In this context, we consider an end-to-end soft real-time out-ofhospital use-case that concerns transmission of patient ECG data from ST BodyGateway pulse sensor via an Android device (Patient App) to a Cloud server for ECG analysis and annotation and then to another Android device (Doctor App) for visualization. Using a prototype featuring ARMv7 technology (two Odroid-XU4s for Patient and Doctor App and one Zedboard FPGA board for server), we evaluate real-time performance and security overheads for supporting confidentiality, integrity and patient anonymity.","PeriodicalId":262681,"journal":{"name":"2017 12th IEEE International Symposium on Industrial Embedded Systems (SIES)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Soft real-time smartphone ECG processing\",\"authors\":\"G. Tsamis, M. Grammatikakis, A. Papagrigoriou, P. Petrakis, Voula Piperaki, A. Mouzakitis, M. Coppola\",\"doi\":\"10.1109/SIES.2017.7993395\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mobile health monitoring technology has the potential to bring a doctor’s office to the patient’s smartphone. In this context, we consider an end-to-end soft real-time out-ofhospital use-case that concerns transmission of patient ECG data from ST BodyGateway pulse sensor via an Android device (Patient App) to a Cloud server for ECG analysis and annotation and then to another Android device (Doctor App) for visualization. Using a prototype featuring ARMv7 technology (two Odroid-XU4s for Patient and Doctor App and one Zedboard FPGA board for server), we evaluate real-time performance and security overheads for supporting confidentiality, integrity and patient anonymity.\",\"PeriodicalId\":262681,\"journal\":{\"name\":\"2017 12th IEEE International Symposium on Industrial Embedded Systems (SIES)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 12th IEEE International Symposium on Industrial Embedded Systems (SIES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIES.2017.7993395\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 12th IEEE International Symposium on Industrial Embedded Systems (SIES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIES.2017.7993395","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mobile health monitoring technology has the potential to bring a doctor’s office to the patient’s smartphone. In this context, we consider an end-to-end soft real-time out-ofhospital use-case that concerns transmission of patient ECG data from ST BodyGateway pulse sensor via an Android device (Patient App) to a Cloud server for ECG analysis and annotation and then to another Android device (Doctor App) for visualization. Using a prototype featuring ARMv7 technology (two Odroid-XU4s for Patient and Doctor App and one Zedboard FPGA board for server), we evaluate real-time performance and security overheads for supporting confidentiality, integrity and patient anonymity.