{"title":"The cardiovascular health informatics system using LabVIEW","authors":"Rohan Jadhav, S. Patil","doi":"10.1109/I2CT.2017.8226096","DOIUrl":null,"url":null,"abstract":"The cardiovascular health informatics system is developed using Laboratory Virtual Instrument Engineering Workbench (LabVIEW). The system work starts with the acquisition of ECG from the patient or ECG simulator, using ECG amplifier circuit. The signal from amplifier circuit is acquired in LabVIEW environment by using DAQ cards. The advantage of LabVIEW is that it has special toolkits, pallets and modules which can be used for ECG acquisition, processing, detection of related diseases. The system will be used to CVDs detection, prediction, diagnosis and treatment. Finally, IoT technology has been implemented in this work to make the system more advanced and effective in the field of telemedicine. This will help in telediagnosis and monitoring of ECG signals.","PeriodicalId":343232,"journal":{"name":"2017 2nd International Conference for Convergence in Technology (I2CT)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 2nd International Conference for Convergence in Technology (I2CT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I2CT.2017.8226096","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 cardiovascular health informatics system is developed using Laboratory Virtual Instrument Engineering Workbench (LabVIEW). The system work starts with the acquisition of ECG from the patient or ECG simulator, using ECG amplifier circuit. The signal from amplifier circuit is acquired in LabVIEW environment by using DAQ cards. The advantage of LabVIEW is that it has special toolkits, pallets and modules which can be used for ECG acquisition, processing, detection of related diseases. The system will be used to CVDs detection, prediction, diagnosis and treatment. Finally, IoT technology has been implemented in this work to make the system more advanced and effective in the field of telemedicine. This will help in telediagnosis and monitoring of ECG signals.
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