Abstract

Fetal electrocardiogram (FECG) gives faithful medical information of heartbeat rate of the fetal living. Extraction of FECG from abdomen of maternal woman consists of interferences and motion artifacts and noises. Maternal electrocardiogram (MECG) is a main source of interference signal present in FECG. This paper focuses on FECG extraction from blind adaptive filtering using principal component analysis (PCA). The abdominal ECG (AECG) is obtained by blind adaptive algorithm which consists of MECG and FECG QRS complex. Principal component analysis separates the two MECG and FECG. The experiments show that it can simultaneously accomplish maternal ECG and fetal QRS complexes enhancement for their detection. The simulation results show that FECG extracted from the peaks of R-R interval is noise-free signal, and extract FHR.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.