A. Ferretti, D. Zissermann, E. M. Strand, W. Rogers
{"title":"35导联心电图的计算机分析","authors":"A. Ferretti, D. Zissermann, E. M. Strand, W. Rogers","doi":"10.1145/503838.503890","DOIUrl":null,"url":null,"abstract":"This paper describes an application of computer processing of 35-lead electrocardiographic (EKG) maps as a tool in cardiac research. This physiological signal analysis system has been implemented on an IBM 1800 process control computer at the Clinical Cardiology Computer Center at the University of Alabama in Birmingham. The precision obtained from computer processing of physiological signals provides clinical research scientists with accurate data analysis.","PeriodicalId":431590,"journal":{"name":"ACM-SE 18","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1980-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Computer analysis of 35-lead EKG maps\",\"authors\":\"A. Ferretti, D. Zissermann, E. M. Strand, W. Rogers\",\"doi\":\"10.1145/503838.503890\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes an application of computer processing of 35-lead electrocardiographic (EKG) maps as a tool in cardiac research. This physiological signal analysis system has been implemented on an IBM 1800 process control computer at the Clinical Cardiology Computer Center at the University of Alabama in Birmingham. The precision obtained from computer processing of physiological signals provides clinical research scientists with accurate data analysis.\",\"PeriodicalId\":431590,\"journal\":{\"name\":\"ACM-SE 18\",\"volume\":\"112 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1980-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM-SE 18\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/503838.503890\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM-SE 18","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/503838.503890","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper describes an application of computer processing of 35-lead electrocardiographic (EKG) maps as a tool in cardiac research. This physiological signal analysis system has been implemented on an IBM 1800 process control computer at the Clinical Cardiology Computer Center at the University of Alabama in Birmingham. The precision obtained from computer processing of physiological signals provides clinical research scientists with accurate data analysis.