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Extraction of Fetal ECG from Abdominal and Thorax ECG Using a Non-Causal Adaptive Filter Architecture
Original price was: ₹30,000.00.₹20,000.00Current price is: ₹20,000.00.
Source : Verilog HDL
Base Paper Abstract:
Extracting the Electrocardiogram (ECG) of a fetus from the ECG signal of the maternal abdomen is a challenging task due to different artifacts. The paper proposes a N-tap non-causal adaptive filter (NC-AF) that update the weight by considering the N number of past weights and N − 1 number of the reference signal and error signal samples after the processing sample number n. Using the maternal abdominal signal as the primary signal and thorax signal as the reference input, the output e(n) is obtained from the mean of N number of errors. The filtering performance of NC-AF was evaluated using the Synthetic dataset and Daisy dataset with the metrics such as correlation coefficient (γ), peak root mean square difference (PRD), the output signal to noise ratio (SNR), root mean square error (RMSE), and fetal R-peak detection accuracy (FRPDA). The NC-AF provides a maximum correlation coefficient, PRD, SNR, RMSE and FRPDA of 0.9851, 83.04%, 8.52 dB, 0.208 and 97.09% respectively with filter length N = 38. The paper also proposes the architecture of NC-AF that can be implemented in hardware like FPGA. Further, the NC-AF was implemented on Virtex-7 FPGA and its performance is evaluated in terms of resource utilization, throughput, and power consumption. For filter length N = 38 and word length L = 24, the maximum performance of the filter can be attained with a power consumption of 1.287W and a maximum clock frequency of 139.47 MHz.
List of the following materials will be included with the Downloaded Backup:
1. Source code ( Modelsim/ Xilinx/ Quartus/ DSCH3/ Microwind)
2. Existing and Proposed Project Comparison with output video
3. Basic Documentation (20 to 30 Pages):
3.1 Proposed Title
3.2 Proposed Abstract
3.3 Advantages & Disadvantages
3.4 Improvement of this Project
3.5 Existing System with Notes
3.6 Proposed System with Notes
3.7 Literature Survey
3.8 Software Related Notes
3.9 VLSI and HDL Language / Tanner Notes
3.10 References & Reference Paper for More Pages
4. Online Support ( Any Desk / Zoom / Google Meet)
Proposed Title:
Enhanced Fetal ECG Extraction and Dual Heart Rate Monitoring Using Non-Causal Adaptive Filter with Optimized Multiplier Architecture
Improvement of this project :-
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.
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Application of this work prove with Invasive FECG method instead of Non-invasive FECG method.
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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
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