V. Soldatenkov, A. Levkovich, Y. Evseeva, V. Uspenskiĭ, V. M. Achil’diev, N. Bedro, M. Basarab, Y. Gruzevich, M. Komarova, N. S. Konnova
{"title":"Electroseismocardiography System for Non-Invasive Human Diseases Diagnosis","authors":"V. Soldatenkov, A. Levkovich, Y. Evseeva, V. Uspenskiĭ, V. M. Achil’diev, N. Bedro, M. Basarab, Y. Gruzevich, M. Komarova, N. S. Konnova","doi":"10.23919/ICINS.2019.8769388","DOIUrl":null,"url":null,"abstract":"The article describes a device for simultaneous registration of electro- and seismocardiograms, so-called electroseismocardiography system. It is based on a low-noise, high-recision three-axis MEMS accelerometer and 24 bits sigmadelta ADC for electrocardiosignals capturing. The operation algorithm of the system is developed and described. The paper deals with the main methods of digital signal processing, as well as the possibility of using the data of electroseismocardiography for non-invasive diagnosis of human diseases.","PeriodicalId":108493,"journal":{"name":"2019 26th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 26th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICINS.2019.8769388","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The article describes a device for simultaneous registration of electro- and seismocardiograms, so-called electroseismocardiography system. It is based on a low-noise, high-recision three-axis MEMS accelerometer and 24 bits sigmadelta ADC for electrocardiosignals capturing. The operation algorithm of the system is developed and described. The paper deals with the main methods of digital signal processing, as well as the possibility of using the data of electroseismocardiography for non-invasive diagnosis of human diseases.