Non-invasive fetal monitoring using electrocardiography and phonocardiography: A preliminary study

• Published in: Journal of gynecology obstetrics and human reproduction Vol. 47; no. 9; pp. 455 - 459
• Main Authors: Gobillot, S., Fontecave-Jallon, J., Equy, V., Rivet, B., Gumery, P.Y., Hoffmann, P.
• Format: Journal Article
• Language: English
• Published: France Elsevier Masson SAS 01.11.2018; Elsevier
• Subjects: Adult; Cardiotocography - methods; Cardiotocography - standards; Electrocardiography - methods; Electrocardiography - standards; Engineering Sciences; Feasibility Studies; Female; Fetal electrocardiogram; Fetal heart rate; Fetal Monitoring - methods; Fetal Monitoring - standards; Heart Rate, Fetal - physiology; Humans; Non-invasive monitoring; Phonocardiography; Phonocardiography - methods; Phonocardiography - standards; Pregnancy; Prospective Studies; Signal and Image processing; Fetal heart rate; Fetal electrocardiogram; Non-invasive monitoring; Phonocardiography
• ISSN: 2468-7847; 2468-8495; 2468-7847
• DOI: 10.1016/j.jogoh.2018.08.009

Continuous fetal monitoring is commonly used during pregnancy and labor to assess fetal wellbeing. The most often used technology is cardiotocography (CTG), but this technique has major drawbacks in clinical use. Our aim is to test a non-invasive multimodal technique of fetal monitoring using phonocardiography (PCG) and electrocardiography (ECG) and to evaluate its feasibility in clinical practice, by comparison with CTG. This prospective open label study took place in a French university hospital. PCG and ECG signals were recorded using abdominal and thoracic sensors from antepartum women during the second half of pregnancy, simultaneously with CTG recording. Signals were then processed to extract fetal PCG and ECG and estimate fetal heart rate (FHR). A total of 9 sets of recordings were evaluated. Very accurate fetal ECG and fetal PCG signals were recorded, enabling us to obtain FHR for several subjects. The FHR calculated from ECG was highly correlated with the FHR from the CTG reference (from 74% to 84% of correlation). This work with preliminary signal processing algorithms proves the feasibility of the approach and constitutes the beginnings of a unique database that is needed to improve and validate the signal processing algorithms.