Santiago Rubiños, J. Grados, W. Auccahuasi, Edwin Huarcaya, Raúl, Hinojosa, Jessica Meza, Joshua Mayta, Kevin Sedano
{"title":"心电信号自动采集与监测系统在病理诊断中的应用","authors":"Santiago Rubiños, J. Grados, W. Auccahuasi, Edwin Huarcaya, Raúl, Hinojosa, Jessica Meza, Joshua Mayta, Kevin Sedano","doi":"10.24247/ijmperdjun20201079","DOIUrl":null,"url":null,"abstract":"With the objective to make a possible diagnosis of cardiac pathologies, an automatic system was designed that monitors the electrocardiogram (ECG) signals of the patient in real time to relate parameters to a database, which has recorded different types of simulated pathologies in Lab View. This will be used to prevent cardiovascular diseases (CVDs). Electrodes and the AD8232 ECG sensor were used to amplify, filter and reduce the noise of the signal acquired from the patient. The information was sent to an Arduino for the communication via serial port to the LabView software where the possible diagnosis will be generated.","PeriodicalId":14009,"journal":{"name":"International Journal of Mechanical and Production Engineering Research and Development","volume":"74 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automatic System for Acquisition and Monitoring of ECG Signals in the Diagnosis of Pathologies Frequent\",\"authors\":\"Santiago Rubiños, J. Grados, W. Auccahuasi, Edwin Huarcaya, Raúl, Hinojosa, Jessica Meza, Joshua Mayta, Kevin Sedano\",\"doi\":\"10.24247/ijmperdjun20201079\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the objective to make a possible diagnosis of cardiac pathologies, an automatic system was designed that monitors the electrocardiogram (ECG) signals of the patient in real time to relate parameters to a database, which has recorded different types of simulated pathologies in Lab View. This will be used to prevent cardiovascular diseases (CVDs). Electrodes and the AD8232 ECG sensor were used to amplify, filter and reduce the noise of the signal acquired from the patient. The information was sent to an Arduino for the communication via serial port to the LabView software where the possible diagnosis will be generated.\",\"PeriodicalId\":14009,\"journal\":{\"name\":\"International Journal of Mechanical and Production Engineering Research and Development\",\"volume\":\"74 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Mechanical and Production Engineering Research and Development\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24247/ijmperdjun20201079\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Mechanical and Production Engineering Research and Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24247/ijmperdjun20201079","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic System for Acquisition and Monitoring of ECG Signals in the Diagnosis of Pathologies Frequent
With the objective to make a possible diagnosis of cardiac pathologies, an automatic system was designed that monitors the electrocardiogram (ECG) signals of the patient in real time to relate parameters to a database, which has recorded different types of simulated pathologies in Lab View. This will be used to prevent cardiovascular diseases (CVDs). Electrodes and the AD8232 ECG sensor were used to amplify, filter and reduce the noise of the signal acquired from the patient. The information was sent to an Arduino for the communication via serial port to the LabView software where the possible diagnosis will be generated.