Enhanced Fetal ECG Extraction and Dual Heart Rate Monitoring Using Non-Causal Adaptive Filter with Optimized Multiplier Architecture

• To design the Non-Causal Adaptive Filter present with two different multiplier architecture of array multiplier and Vedic Brent kung multiplier for analysis of area efficiency.

• Application of this work prove with Invasive FECG method instead of Non-invasive FECG method.

• This proposed work Extracting the Maternal ECG from Abdominal with support of direct fetal ECG, for future heart rate analysis of both Maternal and Fetal.

• Modelsim
• Xilinx Vivado

Proposed System:

Extracting the fetal ECG (FECG) from maternal abdominal ECG (AECG) signals is a challenging task due to various artifacts. This study proposes enhancements to the non-causal adaptive filter (NC-AF) architecture by incorporating two different multiplier designs: the array multiplier and the Vedic Brent-Kung multiplier, to analyze area efficiency and performance. Additionally, the application of the NC-AF is extended to the invasive FECG method for validation. Furthermore, the NC-AF is adapted to extract the maternal ECG (MECG) from the abdominal signal, utilizing direct fetal ECG as a reference. This dual extraction capability aims to facilitate future heart rate analysis for both maternal and fetal health monitoring. The proposed NC-AF with a filter length of N = 8 and word length of L = 8 demonstrates significant improvements in correlation coefficient, PRD, SNR, RMSE, and fetal R-peak detection accuracy. The architecture was implemented on a Zynq 7000 FPGA, achieving optimal performance with reduced power consumption and enhanced resource utilization. This work provides a robust solution for comprehensive maternal-fetal ECG monitoring, offering potential improvements in clinical diagnostics and maternal-fetal health management.

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Extraction of Fetal ECG from Abdominal and Thorax ECG Using a Non-Causal Adaptive Filter Architecture