Open AccessExisting Fetal ECG Monitoring Methods
Author(s) -
M. Anisha,
S. S. Kumar,
Ezhil E. Nithila,
N. Vigneshwari,
M Sushmitha,
M Benisha
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b1147.1292s219
Subject(s) - fetal heart , fetal monitoring , computer science , fetal heart rate , artificial intelligence , machine learning , medicine , pattern recognition (psychology) , data mining , fetus , pregnancy , heart rate , genetics , blood pressure , biology
Fetal electrocardiogram (FECG) signal holds highly precise indispensable particulars, which potentially support physicians to diagnosis the existence of congenital heart syndromes and make instantaneous assessment if required. There are several FECG examination procedures applied to have precise fetal ECG, but unflatteringly some methods have certain snags. The goal of this study paper is to exemplify the range of existing observation techniques to offer proficient and effectual means of understanding along with their mode of examination at different gestational age. A comparative study has been accomplished to demonstrate the best approach.