Literature DB >> 30602066

Noninvasive fetal electrocardiography for the detection of fetal arrhythmias.

Joachim A Behar1, Laurent Bonnemains2, Vyacheslav Shulgin3, Julien Oster4, Oleksii Ostras5, Igor Lakhno6.   

Abstract

OBJECTIVE: To assess whether noninvasive fetal electrocardiography (NI-FECG) enables the diagnosis of fetal arrhythmias.
METHODS: A total of 500 echocardiography and NI-FECG recordings were collected from pregnant women during a routine medical visit in this multicenter study. All the cases with fetal arrhythmias (n = 12) and a matching number of control (n = 14) were used. Two perinatal cardiologists analyzed the extracted NI-FECG while blinded to the echocardiography. The NI-FECG-based diagnosis was compared with the reference fetal echocardiography diagnosis.
RESULTS: NI-FECG and fetal echocardiography agreed on all cases (Ac = 100%) on the presence of an arrhythmia or not. However, in one case, the type of arrhythmia identified by the NI-FECG was incorrect because of the low resolution of the extracted fetal P-wave, which prevented resolving the mechanism (2:1 atrioventricular conduction) of the atrial tachycardia.
CONCLUSION: It is possible to diagnose fetal arrhythmias using the NI-FECG technique. However, this study identifies that improvement in algorithms for reconstructing the P-wave is critical to systematically resolve the mechanisms underlying the arrhythmias. The elaboration of a NI-FECG Holter device will offer new opportunities for fetal diagnosis and remote monitoring of problematic pregnancies because of its low-cost, noninvasiveness, portability, and minimal setup requirements.
© 2019 John Wiley & Sons, Ltd.

Entities:  

Year:  2019        PMID: 30602066     DOI: 10.1002/pd.5412

Source DB:  PubMed          Journal:  Prenat Diagn        ISSN: 0197-3851            Impact factor:   3.050


  6 in total

1.  Measurement of the cardiac time intervals of the fetal ECG utilising a computerised algorithm: A retrospective observational study.

Authors:  S C Chivers; T Vasavan; M Nandi; B R Hayes-Gill; I A Jayawardane; J M Simpson; C Williamson; W P Fifer; M Lucchini
Journal:  JRSM Cardiovasc Dis       Date:  2022-05-11

2.  Detection of fetal arrhythmia by adaptive single channel electrocardiogram extraction.

Authors:  M Suganthy; S Immaculate Joy; P Anandan
Journal:  Phys Eng Sci Med       Date:  2021-06-25

3.  A non-invasive multimodal foetal ECG-Doppler dataset for antenatal cardiology research.

Authors:  Eleonora Sulas; Monica Urru; Roberto Tumbarello; Luigi Raffo; Reza Sameni; Danilo Pani
Journal:  Sci Data       Date:  2021-01-26       Impact factor: 6.444

4.  Deep Compressive Sensing on ECG Signals with Modified Inception Block and LSTM.

Authors:  Jing Hua; Jue Rao; Yingqiong Peng; Jizhong Liu; Jianjun Tang
Journal:  Entropy (Basel)       Date:  2022-07-25       Impact factor: 2.738

Review 5.  Application of Modern Multi-Sensor Holter in Diagnosis and Treatment.

Authors:  Erik Vavrinsky; Jan Subjak; Martin Donoval; Alexandra Wagner; Tomas Zavodnik; Helena Svobodova
Journal:  Sensors (Basel)       Date:  2020-05-07       Impact factor: 3.576

6.  A novel algorithm based on ensemble empirical mode decomposition for non-invasive fetal ECG extraction.

Authors:  Katerina Barnova; Radek Martinek; Rene Jaros; Radana Kahankova; Adam Matonia; Michal Jezewski; Robert Czabanski; Krzysztof Horoba; Janusz Jezewski
Journal:  PLoS One       Date:  2021-08-13       Impact factor: 3.240

  6 in total

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