Feasibility of Non-invasive Fetal Electrocardiographic Interval Measurement in the Outpatient Clinical Setting.


Journal

Pediatric cardiology
ISSN: 1432-1971
Titre abrégé: Pediatr Cardiol
Pays: United States
ID NLM: 8003849

Informations de publication

Date de publication:
Aug 2019
Historique:
received: 09 02 2019
accepted: 30 05 2019
pubmed: 7 6 2019
medline: 29 10 2019
entrez: 8 6 2019
Statut: ppublish

Résumé

Non-invasive fetal electrocardiography (ECG) is a promising method for evaluating fetal cardiac electrical activity. Despite advances in fetal ECG technology, its ability to provide reliable, interpretable results in a typical outpatient fetal cardiology setting remains unclear. We sought to determine the feasibility of measuring standard ECG intervals in an outpatient fetal cardiology practice using an abdominal fetal ECG device that employs blind source separation with reference, an innovative signal-processing technique for fetal ECG extraction. Women scheduled for clinically indicated outpatient fetal echocardiogram underwent 10 min of fetal ECG acquisition from the maternal abdomen using specialized gel electrodes. A bedside laptop computer performed fetal ECG extraction, allowing real-time visualization of fetal and maternal ECG signals. Offline post-processing of 1 min of recorded data yielded fetal P-wave duration, PR interval, QRS duration, RR interval, QT interval, and QTc. Fifty-five fetuses were studied with gestational age 18-37 weeks, including 13 with abnormal fetal echocardiogram findings and three sets of twins. Interpretable results were obtained in 91% of fetuses, including 85% during the vernix period and 100% of twin fetuses. PR interval and RR interval of 18-24 week gestation fetuses were significantly shorter than those with gestational age 25-31 and 32-37 weeks. Of the six fetuses with abnormal rhythms on fetal echocardiogram, fetal ECG tracing was interpretable in five and matched the rhythm noted on fetal echocardiogram. Abdominal fetal ECG acquisition is feasible for arrhythmia detection and ECG interval calculation in a routine clinical setting.

Identifiants

pubmed: 31172229
doi: 10.1007/s00246-019-02128-w
pii: 10.1007/s00246-019-02128-w
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1175-1182

Subventions

Organisme : Children's National Cardiology Patient Research Fund
ID : SPF 44563

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Auteurs

Ashish N Doshi (AN)

Division of Cardiology, Children's National Health System, 111 Michigan Ave NW, Washington, DC, 20010, USA. adoshi2@jhu.edu.
Institute for Computational Medicine, Johns Hopkins University, 3400 N Charles St, Hackerman Hall Room 208, Baltimore, MD, 21218, USA. adoshi2@jhu.edu.

Paige Mass (P)

Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, 111 Michigan Ave NW, Washington, DC, 20010, USA.

Kevin R Cleary (KR)

Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, 111 Michigan Ave NW, Washington, DC, 20010, USA.

Jeffrey P Moak (JP)

Division of Cardiology, Children's National Health System, 111 Michigan Ave NW, Washington, DC, 20010, USA.

Kiyoe Funamoto (K)

Advanced Interdisciplinary Biomedical Engineering, Tohoku University School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai-shi, Miyagi, 980-8575, Japan.

Yoshitaka Kimura (Y)

Advanced Interdisciplinary Biomedical Engineering, Tohoku University School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai-shi, Miyagi, 980-8575, Japan.

Ahsan H Khandoker (AH)

Department of Biomedical Engineering, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates.

Anita Krishnan (A)

Division of Cardiology, Children's National Health System, 111 Michigan Ave NW, Washington, DC, 20010, USA.

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Classifications MeSH