{"title":"QRS边界确定中的测量标准和测试信号","authors":"S. Hargittai","doi":"10.1109/CIC.2007.4745518","DOIUrl":null,"url":null,"abstract":"The most important step of quantitative ECG analysis is to determine the wave boundaries. The main objectives of this paper are to consider the scope and the limitations of using CSE databases and standard test signals for evaluation and improvement of ECG wave recognition programs. Three databases were used for evaluating the ECG measurement programs. The databases were not only used for automatic assessment but all records and channels were checked individually and deviations from the references were analyzed. The CSE databases and the standard analytical ECG curves can be used for automatic evaluation of an ECG measurement program, but reference data should be used with care. Design engineers have to have appropriate knowledge in both the signal-processing field and electrocardiography.","PeriodicalId":406683,"journal":{"name":"2007 Computers in Cardiology","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Measurements standards and test signals in QRS boundary determination\",\"authors\":\"S. Hargittai\",\"doi\":\"10.1109/CIC.2007.4745518\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The most important step of quantitative ECG analysis is to determine the wave boundaries. The main objectives of this paper are to consider the scope and the limitations of using CSE databases and standard test signals for evaluation and improvement of ECG wave recognition programs. Three databases were used for evaluating the ECG measurement programs. The databases were not only used for automatic assessment but all records and channels were checked individually and deviations from the references were analyzed. The CSE databases and the standard analytical ECG curves can be used for automatic evaluation of an ECG measurement program, but reference data should be used with care. Design engineers have to have appropriate knowledge in both the signal-processing field and electrocardiography.\",\"PeriodicalId\":406683,\"journal\":{\"name\":\"2007 Computers in Cardiology\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 Computers in Cardiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIC.2007.4745518\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 Computers in Cardiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIC.2007.4745518","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Measurements standards and test signals in QRS boundary determination
The most important step of quantitative ECG analysis is to determine the wave boundaries. The main objectives of this paper are to consider the scope and the limitations of using CSE databases and standard test signals for evaluation and improvement of ECG wave recognition programs. Three databases were used for evaluating the ECG measurement programs. The databases were not only used for automatic assessment but all records and channels were checked individually and deviations from the references were analyzed. The CSE databases and the standard analytical ECG curves can be used for automatic evaluation of an ECG measurement program, but reference data should be used with care. Design engineers have to have appropriate knowledge in both the signal-processing field and electrocardiography.