IR @ Goa University

Assessment of the fetal health using NI-aECG

Show simple item record Marchon, N. Naik, G.M. 2018-06-18T04:15:19Z 2018-06-18T04:15:19Z 2018
dc.identifier.citation Advanced Computational and Communication Paradigms, Ed. by: Bhattacharyya S., Gandhi T., Sharma K., Dutta P. Lecture Notes in Electrical Engineering. Springer, Singapore. 475; 2018; 360-368. en_US
dc.description.abstract Accurate extraction of the fetal QRS (FQRS) complex extracted from the maternal abdominal ECG (aECG) has become a very important clinical procedure to evaluate the well-being of the fetus. Fetal heart rate (FHR) obtained from the FQRS indicates fetal hypoxia, fetal distress, and other fetal-related problems that can be easily detected. In this paper, the aECG is preprocessed to remove the low-frequency baseline wandering and power line interference (PLI). In the following step, we proposed a technique to extract maternal QRS (MQRS) and FQRS from the Physionet abdominal ECG (aECG) database. The computed maternal and fetal QRS templates were optimized and fine-tuned for each of the Physionet noninvasive aECG databases. Our proposed synthesized QRS pulse template method was also compared with the Independent Component Analysis? (ICA) method for performance. The proposed system correctly evaluated and estimated the FECG signal for most records for the Physionet abdominal and direct fetal ECG database (adfecgdb) with the fetal QRS annotations. Using cross-correlation techniques, the MQRS and FQRS were estimated while the FHR was also correctly computed for most records. en_US
dc.publisher Springer en_US
dc.subject Electronics en_US
dc.title Assessment of the fetal health using NI-aECG en_US
dc.type Book chapter en_US

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search IR

Advanced Search


My Account