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[Research of adaptive notch filter based on QRD-LS algorithm for power line interference in ECG]
Shuyan Wang1, Jian Dong, Xin Guan
1Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China. wsylcq@163.com
Summary
This study introduces an adaptive notch filter using the QRD-LS algorithm to remove power line interference from ECG signals. The new method offers improved robustness and performance over the LMS algorithm for clearer heart signal analysis.
Area of Science:
- Biomedical Engineering
- Signal Processing
Context:
- Electrocardiogram (ECG) signals are crucial for diagnosing cardiac conditions.
- Power line interference (PLI) is a common artifact that degrades ECG signal quality.
- Existing methods like the Least Mean Square (LMS) algorithm have limitations in robustness.
Purpose:
- To develop and evaluate an adaptive notch filter for effective PLI removal in ECG.
- To improve the signal-to-interference ratio (SIR) of ECG recordings.
- To enhance the robustness and performance of ECG filtering techniques.
Summary:
- An adaptive notch filter utilizing the QR-Decomposition Least-Squares (QRD-LS) algorithm is presented for PLI elimination in ECG.
- The QRD-LS algorithm, employing recursive least-squares minimization with systolic arrays, adjusts the filter's weight vector.
- Simulations demonstrate that the QRD-LS adaptive notch filter significantly outperforms the conventional LMS-based filter in terms of robustness and performance.
Impact:
- Enables more accurate and reliable ECG analysis by removing noise.
- Enhances diagnostic capabilities for cardiovascular diseases.
- Provides a more robust filtering solution for clinical and wearable ECG monitoring systems.
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