Inventory reference ISSN 1812-7231 Klin.inform.telemed. Volume 12, Issue 13, 2017, Pages 75–82
Author(s) K.V. Nasedkin, V.V. Fedotenko, O.G. Viunytskyi, V.I. Shulgin
National Aerospace University "KhAI", Kharkiv
Article title Ambulatory fetal ECG monitoring
Introduction. Existing diagnostic technologies and systems are designed to monitor the health of adults and children, and there are virtually no technologies and systems designed to jointly monitor the condition of the mother and fetus during pregnancy. Although future human health, including the costs of its supporting throughout the life, are laid down in the womb.
Objective. Evaluation of the possibility of detection and diagnosis of fetal arrhythmias using ambulatory (Holter) monitoring technology of the fetal electrocardiogram.
Results. The developed devices for recording and wireless transmission of signals observed on the abdominal surface of a pregnant woman, as well as algorithms for processing these signals for the purpose of extraction and clinical analysis of fECG. A retrospective analysis of abdominal records and fetal ultrasound examination results performed to assess the possibility of diagnosing various cardiac rhythm disorders.
Conclusions. Non-invasive fetal electrocardiography (NI-FECG) provides reliable and intuitive information to detect or clarify the diagnosis of fetal arrhythmias (FA). The main advantages of the method are cheapness, high accuracy of measurements of cardiac fetal indexes in comparison with traditional ultrasound, the possibility of conducting an out-patient examination and remote transmission of the examination results to the diagnostic center.
Keywords fetal abdominal electrocardiography, NI-FECG, holter monitor, fetal arrhythmias.
1. Donofrio M., Moon-Grady A., Hornberger L. et. al. Diagnosis and Treatment of Fetal Cardiac Disease. Scientific Statement From the American Heart Association. 2014, vol. 129, pp. 2183-2242.
2. Srinivasan S., Strasburger J., Overview of fetal arrhythmias. Curr. Opin. Pediatr. 2008, vol. 20, iss. 5, pp. 522–531.
3. Wacker-Gussmann, H. Paulsen, K. Stingl, J. Braendle, R. Goelz. Atrioventricular Conduction Delay in the Second Trimester Measured by Fetal Magnetocardiography. Journal of Immunology. 2014.
4. Cuneo B., Strasburger J., Horigome S. Yu, H., Hosono T., Kandori A., Wakai R. In utero diagnosis of long QT syndrome by magnetocardiography. Circulation, 2013, vol. 128, iss. 20, pp. 2183-2191.
5. Behar J. Extraction of clinical information from the non-invasive fetal electrocardiogram. A thesis submitted for the degree of Doctor of Philosophy Michaelmas, 2014. 233 p.
6. Behar J., Zhu T., Oster J., Sameni R., Wolfberg A. J., Clifford G. D. Evaluation of the fetal QT interval using non-invasive fetal ECG technology. Institute of Physics and Engineering in Medicine. 2016, pp. 1392–1403.
7. Graatsma E., Jacod B., van Egmond L., Mulder E., Visser G. Fetal electrocardiography: feasibility of long-term fetal heart rate recordings. BJOG, 2009, vol. 116, pp. 334–338.
8. Clifford G., Sameni R., Ward J., et al. Clinically accurate fetal ECG parameters acquired from maternal abdominal sensors. Am. J. Obstet. Gynecol., 2011, vol. 205, iss. 47
9. Behar J., Andreotti F., Zaunseder S. et al. A practical guide to non-invasive foetal electrocardiogram extraction and analysis. Physiol. 2016 vol. 37, iss. 5, pp. 1–35.
10. Zaderykhin O., Shulgin V. Blind Signal Separation Using Prior Information. Conf. Modern Problems of Radio Engineering, Telecommunications, and Computer Science, 2010, 48 p.
11. Zaderykhin O., Shulgin V., Tokariev A. Blind signal separation of fetal ECG using prior information. In Proc. of the Intern. Congress on Electrocardiology, 2010.
12. Shulgin V., Shepel O. Computer Diagnostic System for Fetal Monitoring During Pregnancy. Proc. of the Intern. Conf. TCSET "Modern Problems of Radio Engineering, Telecommunications, and Computer Science". 2014, pp. 709 – 711.
13. Shulgin V., Viunytskyi O. Signal Processing Techniques for Fetal Electrocardiogram Extraction and Analysis. Proc. of 37th Intern.Conf. on Electronics and Nanotechnology (ELNANO-2017), 2017, pp. 325-328.
14. Shulgin V., Viunytskyi O. Fetal ECG and Heart Rhythm analyzing using BabyCard. Proc. of Signal Processing Symposium, 2017, pp. 21-24.
15. Behar J., Lakhno I., Ostras O., Andreotti F. Shulgin V. The use of non-invasive fetal electrocardiography in diagnosing second-degree fetal atrioventricular block. BioMed Central, Maternal Health, Neonatology and Perinatology, 2017. doi: 10.1186/s40748-017-0053-1.
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