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Extraction of FECG Signal Based on Blind Source Separation Using Principal Component Analysis

  • Mahesh B. Dembrani
  • K. B. Khanchandani
  • Anita Zurani
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 518)

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.

Keywords

FECG extraction MECG Blind source separation (BSS) Principal component analysis (PCA) 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Mahesh B. Dembrani
    • 1
  • K. B. Khanchandani
    • 1
  • Anita Zurani
    • 1
  1. 1.Shri Sant Gajanan Maharaj College of EngineeringShegaonIndia

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