{"title":"设计一种人工神经网络系统,从3导联动态心电图记录中获取12导联心电图","authors":"R.N. Kuppuraj, S. Napper","doi":"10.1109/IEMBS.1994.415351","DOIUrl":null,"url":null,"abstract":"Cardiac experts often make critical diagnoses utilizing information from the standard 12-lead ECG rather than Holter recordings. The development of a Neural Network (NN) system to derive the 12-lead ECG from modified VCG leads recorded using Holter recordings is explored here. The requirements (data acquisition, hardware, software, etc.) of such a system are addressed. A NN to derive the 12-lead ECG with the 3-lead modified VCG as its input is designed.","PeriodicalId":344622,"journal":{"name":"Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"664 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Design for an artificial neural network system to obtain 12-lead ECG from 3-lead Holter VCG recordings\",\"authors\":\"R.N. Kuppuraj, S. Napper\",\"doi\":\"10.1109/IEMBS.1994.415351\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cardiac experts often make critical diagnoses utilizing information from the standard 12-lead ECG rather than Holter recordings. The development of a Neural Network (NN) system to derive the 12-lead ECG from modified VCG leads recorded using Holter recordings is explored here. The requirements (data acquisition, hardware, software, etc.) of such a system are addressed. A NN to derive the 12-lead ECG with the 3-lead modified VCG as its input is designed.\",\"PeriodicalId\":344622,\"journal\":{\"name\":\"Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society\",\"volume\":\"664 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMBS.1994.415351\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMBS.1994.415351","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design for an artificial neural network system to obtain 12-lead ECG from 3-lead Holter VCG recordings
Cardiac experts often make critical diagnoses utilizing information from the standard 12-lead ECG rather than Holter recordings. The development of a Neural Network (NN) system to derive the 12-lead ECG from modified VCG leads recorded using Holter recordings is explored here. The requirements (data acquisition, hardware, software, etc.) of such a system are addressed. A NN to derive the 12-lead ECG with the 3-lead modified VCG as its input is designed.