RLS adaptive filter co-design for de-noising ECG signal
Doctors diagnose various heart muscle disorders by continuously analyzing ELECTROCARDIOGRAM (ECG) signals. Obtaining a noise-free ECG recording is difficult due to various types of interference, making an effective filter essential for accurate diagnosis. This paper introduces a novel, low-complexit...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | Results in Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123024018061 |
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| author | Ahlam Fadhil Mahmood Safaa N. Awny Ali Alameer |
| author_facet | Ahlam Fadhil Mahmood Safaa N. Awny Ali Alameer |
| author_sort | Ahlam Fadhil Mahmood |
| collection | DOAJ |
| description | Doctors diagnose various heart muscle disorders by continuously analyzing ELECTROCARDIOGRAM (ECG) signals. Obtaining a noise-free ECG recording is difficult due to various types of interference, making an effective filter essential for accurate diagnosis. This paper introduces a novel, low-complexity filter designed to enhance ECG signal quality. The proposed method involves partitioning the implementation of the Recursive Least Squares (RLS) adaptive filter between a Microblaze soft processor and hardware resources within a Field Programmable Gate Array (FPGA). The hardware component is responsible for creating a Finite Impulse Response (FIR) filter, while the adaptive processing is handled by the soft processor. This configuration makes the filter adaptable, allowing it to work with various algorithms for a wide range of applications. The co-design was tested for ECG noise removal, achieving an average Signal-to-Noise Ratio (SNR) improvement of 89.78 %. Offloading adaptive tasks to the soft processor reduced power consumption by 56.2 %, making it suitable for integration with ECG sensors in wearable body networks. |
| format | Article |
| id | doaj-art-fbcfbd80fdf74dff88cc9ce879fbc6e8 |
| institution | DOAJ |
| issn | 2590-1230 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-fbcfbd80fdf74dff88cc9ce879fbc6e82025-08-20T02:52:24ZengElsevierResults in Engineering2590-12302024-12-012410356310.1016/j.rineng.2024.103563RLS adaptive filter co-design for de-noising ECG signalAhlam Fadhil Mahmood0Safaa N. Awny1Ali Alameer2Department of Computer Engineering, University of Mosul, IraqCollege of Pharmacy, University of Mosul, IraqSchool of Science, Engineering and Environment, University of Salford, UK; Corresponding author.Doctors diagnose various heart muscle disorders by continuously analyzing ELECTROCARDIOGRAM (ECG) signals. Obtaining a noise-free ECG recording is difficult due to various types of interference, making an effective filter essential for accurate diagnosis. This paper introduces a novel, low-complexity filter designed to enhance ECG signal quality. The proposed method involves partitioning the implementation of the Recursive Least Squares (RLS) adaptive filter between a Microblaze soft processor and hardware resources within a Field Programmable Gate Array (FPGA). The hardware component is responsible for creating a Finite Impulse Response (FIR) filter, while the adaptive processing is handled by the soft processor. This configuration makes the filter adaptable, allowing it to work with various algorithms for a wide range of applications. The co-design was tested for ECG noise removal, achieving an average Signal-to-Noise Ratio (SNR) improvement of 89.78 %. Offloading adaptive tasks to the soft processor reduced power consumption by 56.2 %, making it suitable for integration with ECG sensors in wearable body networks.http://www.sciencedirect.com/science/article/pii/S2590123024018061ElectrocardiogramAdaptive algorithmCo-designFPGASoft processor |
| spellingShingle | Ahlam Fadhil Mahmood Safaa N. Awny Ali Alameer RLS adaptive filter co-design for de-noising ECG signal Results in Engineering Electrocardiogram Adaptive algorithm Co-design FPGA Soft processor |
| title | RLS adaptive filter co-design for de-noising ECG signal |
| title_full | RLS adaptive filter co-design for de-noising ECG signal |
| title_fullStr | RLS adaptive filter co-design for de-noising ECG signal |
| title_full_unstemmed | RLS adaptive filter co-design for de-noising ECG signal |
| title_short | RLS adaptive filter co-design for de-noising ECG signal |
| title_sort | rls adaptive filter co design for de noising ecg signal |
| topic | Electrocardiogram Adaptive algorithm Co-design FPGA Soft processor |
| url | http://www.sciencedirect.com/science/article/pii/S2590123024018061 |
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