Non-invasive foetal electrocardiogram (NIFECG) is a promising technique in foetal monitoring that is gaining research interest. Nevertheless, there is a scarcity of data highlighting the comparison variances for normal heart time frames (CTIs). Multiple devices and methodologies for electronic foetal surveillance (EFM), which is accomplished all through pregnancy or continuously during labour to allow proper delivery of a healthy baby, have really been emerged in recent years. The goal of this article is to conduct a methodological review to outline normal foetal CTIs using NIFECG. We evaluated and discussed the effectiveness of currently available EFM techniques in order to identify a non - invasive method, expense alternate solution to be used in the household. This evaluation contains research publications, newspapers, web sources, product manuals, press conferences, structured consultations, and other available literature in order to provide a thorough comprehensive evaluation of all accessible EFM techniques. We share several of the conclusions we reached after evaluating a large number of resources. A critical search of the consensus publications was carried out. Fetal CTIs (P wave length of time, PR increment, Measurements, and QT interval) were among the variables of interest, as was an explanatory description of relevant research.
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25 April 2023
INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND COMPUTING TECHNOLOGIES (ICBECT ’22)
21–25 March 2022
Chennai, India
Research Article|
April 25 2023
Extraction of FECG signal to detect preterm delivery
D. Sugumar;
D. Sugumar
a)
1
Department of Electronics and Communication Engineering, Karunya Institute of Technology and Sciences (Deemed to be University)
, Coimbatore 641114, Tamilnadu, India
a)Corresponding author: sugumar.ssd@gmail.com
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Supriya Prashant Diwan;
Supriya Prashant Diwan
2
Department of Electronics and Telecommunication Engineering, Government College of Engineering
, Karad, Satara 415124, Maharashtra, India
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Hemant P. Chavan;
Hemant P. Chavan
2
Department of Electronics and Telecommunication Engineering, Government College of Engineering
, Karad, Satara 415124, Maharashtra, India
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Mahesh H. Khedkar;
Mahesh H. Khedkar
2
Department of Electronics and Telecommunication Engineering, Government College of Engineering
, Karad, Satara 415124, Maharashtra, India
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Sandipkumar S. Bhandare;
Sandipkumar S. Bhandare
2
Department of Electronics and Telecommunication Engineering, Government College of Engineering
, Karad, Satara 415124, Maharashtra, India
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Pravin Patil
Pravin Patil
3
Department of Mechanical Engineering, Graphic Era Deemed to be University
, Dehradun 248002, Uttarakhand, India
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a)Corresponding author: sugumar.ssd@gmail.com
AIP Conf. Proc. 2603, 020009 (2023)
Citation
D. Sugumar, Supriya Prashant Diwan, Hemant P. Chavan, Mahesh H. Khedkar, Sandipkumar S. Bhandare, Pravin Patil; Extraction of FECG signal to detect preterm delivery. AIP Conf. Proc. 25 April 2023; 2603 (1): 020009. https://doi.org/10.1063/5.0126166
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