Як цитувати

Joachim, A., Shulgin, V., Viunytskyi, O., Ostras, O., Lakhno, I., & Shulga, I. (2020). NON-INVASIVE FETAL ELECTROCARDIOGRAPHY FOR THE DETECTION OF FETAL HEART RHYTHM DISTURBANCES. Матеріали конференцій МЦНД, 29-34.


To assess whether non-invasive fetal electrocardiography (NI-FECG) enables the diagnosis of fetal arrhythmias, а total of 24 pregnant women were included in this study, among whom, two had a twin pregnancy. Thus totaling 26 fetal cases. Extraction of the NI-FECG from the abdominal electrocardiographic mixture was performed. Abnormal rhythms events were automatically detected similar to a traditional Holter. The NI-FECG based diagnosis was compared to the reference fetal echocardiography diagnosis. NI-FECG and fetal echocardiography agreed on all cases on the presence of arrhythmia or not. It is possible to diagnose fetal arrhythmias using the NI-FECG technique. The elaboration of a fetal Holter ECG device will offer new opportunities for fetal diagnosis and remote monitoring of problematic pregnancies because of its low-cost, non-invasiveness, portability and minimal set-up requirements


Parilla, B, Strasburger, J. (2009) Fetal arrhythmias. Glob Libr Womens Med [Internet]. Available from:

Reinhard, J, Hayes-Gill, B, Yi, Q. (2010) Comparison of non-invasive fetal electrocardiogram to Doppler cardiotocogram during the 1st stage of labor. J Perinat Med. vol.38(2), 179–85.

Cuneo, B, Strasburger, J, Yu S, Horigome, H. (2013) In Utero Diagnosis of Long QT Syndrome by Magnetocardiography. Circulation. vol.128(20), 2183–2191.

Norén, H, Blad, S, Carlsson, A, Flisberg, A, Gustavsson, A. & Lilja, H. (2006) STAN in clinical practice—The outcome of 2 years of regular use in the city of Gothenburg. Am J Obstet Gynecol. vol.195(1), 7–15.

Shulgin, V. & Shepel, O. (2014) Computer Diagnostic System for Fetal Monitoring During Pregnancy.Modern problems of radio engineering, telecommunications, and computer science.

Viunytskyi, O. & Shulgin, V. (2017) Signal processing techniques for fetal electrocardiogram extraction and analysis. 37th International Conference on Electronics and Nanotechnology (ELNANO). 325–328.

Sameni, R, Jutten, C. &Shamsollahi, M.B. (2008) Multichannel electrocardiogram decomposition using periodic component analysis. IEEE Transactions on Biomedical Engineering. vol.55(8), 1935–1940.

Creative Commons License

Ця робота ліцензується відповідно до Creative Commons Attribution 4.0 International License.


Дані завантаження ще не доступні.

| Переглядів: 100 | Завантажень: 57 |