Tai Le, Joseph Fortunato, Nicholas Maritato, Yeeun Cho, Quoc-Dinh Nguyen, Tadesse Ghirmai, Michael P H Lau, Huy-Dung Han, Cuong Kieu Nguyen, Vu Cong Nguyen, Hung Cao
{"title":"Home-based mobile fetal/maternal electrocardiogram acquisition and extraction with cloud assistance.","authors":"Tai Le, Joseph Fortunato, Nicholas Maritato, Yeeun Cho, Quoc-Dinh Nguyen, Tadesse Ghirmai, Michael P H Lau, Huy-Dung Han, Cuong Kieu Nguyen, Vu Cong Nguyen, Hung Cao","doi":"10.1109/imbioc.2019.8777741","DOIUrl":null,"url":null,"abstract":"<p><p>Electrocardiogram (ECG) monitoring of the fetus during pregnancy, before and during labor, can provide crucial information for the assessment of fetal well-being and development, as well as labor progress. An out-of-clinics fetal ECG monitoring system may pave the way for instant diagnosis, suggesting immediate intervention, which could help reduce the fetal mortality rate. In this paper, we present an unobtrusive fetal maternal ECG monitoring system which can operate in the home setting. The acquisition of the mother's abdominal ECG is done using the non-contact electrode approach. The extraction of the fetal ECG from the combined fetal/maternal ECG signal is investigated using both Fast Independent Component Analysis (FastICA) and RobustICA algorithms. An accelerometer is integrated for motion artifact detection which would help reduce interferences due to movement. The device also is connected to a cloud server, allowing doctors to access the data in real time.</p>","PeriodicalId":93381,"journal":{"name":"The IEEE MTT-S 2019 International Microwave Biomedical Conference (IMBioC 2019) : proceedings : May 06-08, 2019, International Conference Hotel of Nanjing, Nanjing, China. IEEE MTT-S International Microwave Bio Conference (2019 : Nanjin...","volume":"2019 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/imbioc.2019.8777741","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The IEEE MTT-S 2019 International Microwave Biomedical Conference (IMBioC 2019) : proceedings : May 06-08, 2019, International Conference Hotel of Nanjing, Nanjing, China. IEEE MTT-S International Microwave Bio Conference (2019 : Nanjin...","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/imbioc.2019.8777741","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2019/7/29 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Electrocardiogram (ECG) monitoring of the fetus during pregnancy, before and during labor, can provide crucial information for the assessment of fetal well-being and development, as well as labor progress. An out-of-clinics fetal ECG monitoring system may pave the way for instant diagnosis, suggesting immediate intervention, which could help reduce the fetal mortality rate. In this paper, we present an unobtrusive fetal maternal ECG monitoring system which can operate in the home setting. The acquisition of the mother's abdominal ECG is done using the non-contact electrode approach. The extraction of the fetal ECG from the combined fetal/maternal ECG signal is investigated using both Fast Independent Component Analysis (FastICA) and RobustICA algorithms. An accelerometer is integrated for motion artifact detection which would help reduce interferences due to movement. The device also is connected to a cloud server, allowing doctors to access the data in real time.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
