Deep Learning-Based Non-invasive Fetal Cardiac Arrhythmia Detection-Reference-Cited by-同舟云学术

Deep Learning-Based Non-invasive Fetal Cardiac Arrhythmia Detection

Published:2021 Issue: Volume: Page:511-523
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Sharma Kamakshi,Masood Sarfaraz^ORCID

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-3067-5_38

Reference19 articles.

1. Aggarwal S, Czaplicki S, Chintala K (2009) Hemodynamic effect of fetal supraventricular tachycardia on the unaffected twin. Prenat Diagn 29:292–293

2. Capuruço CA, Mota CC, Rezende GD, Santos R (2016) P06.03: Fetal tachyarrhythmia: diagnosis, treatment and outcome. Ultrasound Obstetrics Gynecol 48:182–182

3. Yaksh A, van der Does LJ, Lanters EA, de Groot NM (2016) Pharmacological therapy of tachyarrhythmias during pregnancy. Arrhythmia Electrophysiol Rev 5(1):41–44

4. Behar J, Zhu T, Oster J, Niksch A, Mah DY, Chun T, Greenberg J, Tanner C, Harrop J, Sameni R, Ward J (2016) Evaluation of the fetal QT interval using non-invasive fetal ECG technology. Physiol Meas 37(9):1392

5. Clifford G, Sameni R, Ward J, Robinson J, Wolfberg AJ (2011) Clinically accurate fetal ECG parameters acquired from maternal abdominal sensors. Am J Obstet Gynecol 205(1):47

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