{"title":"Software tool for the analysis of components characteristic for ECG signal","authors":"M. Bernat, Z. Piotrowski","doi":"10.1109/MIXDES.2015.7208490","DOIUrl":null,"url":null,"abstract":"The authors developed the software tool with user's interface for designing the complete processing steps of ECG signal: from the filtering, through transformation and decision-making logic up to RR intervals analysis. The algorithm configuration function is replaced by the verification mechanism for R waves recognition efficiency. The program enables to download and process (in one or two-channel system) the signals recorded in the data files, e.g. as MAT-File formats from the test bases and signals from the real equipment (VENTUS system). The project assumption was to create the tool for the optimization of ECG signal preparation process, selection and analysis of R waves, which was achieved. Moreover, the article gives the results of the implemented algorithm efficiency as for the recognition of R waves in the ECG biological signal.","PeriodicalId":188240,"journal":{"name":"2015 22nd International Conference Mixed Design of Integrated Circuits & Systems (MIXDES)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 22nd International Conference Mixed Design of Integrated Circuits & Systems (MIXDES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MIXDES.2015.7208490","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The authors developed the software tool with user's interface for designing the complete processing steps of ECG signal: from the filtering, through transformation and decision-making logic up to RR intervals analysis. The algorithm configuration function is replaced by the verification mechanism for R waves recognition efficiency. The program enables to download and process (in one or two-channel system) the signals recorded in the data files, e.g. as MAT-File formats from the test bases and signals from the real equipment (VENTUS system). The project assumption was to create the tool for the optimization of ECG signal preparation process, selection and analysis of R waves, which was achieved. Moreover, the article gives the results of the implemented algorithm efficiency as for the recognition of R waves in the ECG biological signal.