| Autor: |
Le T; Electrical Engineering, The Henry Samueli School of Engineering, UC Irvine, Irvine, CA 92697., Fortunato J; University of Washington, Bothell campus, Bothell, WA 98011., Maritato N; Johns Hopkins University, Baltimore, MD 21218., Cho Y; University of California, Riverside, Riverside, CA 92521., Nguyen QD; Hanoi University of Science and Technology, Hanoi, Vietnam., Ghirmai T; University of Washington, Bothell campus, Bothell, WA 98011., Lau MPH; Sensoriis, Inc, Edmonds, WA 98026., Han HD; Hanoi University of Science and Technology, Hanoi, Vietnam., Nguyen CK; Institute of Population, Health and Development, Hanoi, Vietnam., Nguyen VC; Institute of Population, Health and Development, Hanoi, Vietnam., Cao H; Electrical Engineering, The Henry Samueli School of Engineering, UC Irvine, Irvine, CA 92697.; Sensoriis, Inc, Edmonds, WA 98026. |
| Abstrakt: |
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. |
