Integrating Notch Filtering and Statistical Methods for Improved Cardiac Diagnostics Using MATLAB
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Acceso en línea: | |
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| _version_ | 1866913818883391488 |
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| author | Bibar, Lohit bose, Samali Banerjee, Tribeni Prasad |
| author_facet | Bibar, Lohit bose, Samali Banerjee, Tribeni Prasad |
| contents | A Notch Filter is essential in ECG signal processing to eliminate narrowband noise, especially powerline interference at 50 Hz or 60 Hz. This interference overlaps with vital ECG signal features, affecting the accuracy of downstream classification tasks (e.g., arrhythmia detection). A properly designed notch filter enhances signal quality, preserves essential ECG components (P, QRS, T waves), and improves the performance of machine learning or deep learning models used for ECG classification. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_02847 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Integrating Notch Filtering and Statistical Methods for Improved Cardiac Diagnostics Using MATLAB Bibar, Lohit bose, Samali Banerjee, Tribeni Prasad Signal Processing Information Retrieval Image and Video Processing A Notch Filter is essential in ECG signal processing to eliminate narrowband noise, especially powerline interference at 50 Hz or 60 Hz. This interference overlaps with vital ECG signal features, affecting the accuracy of downstream classification tasks (e.g., arrhythmia detection). A properly designed notch filter enhances signal quality, preserves essential ECG components (P, QRS, T waves), and improves the performance of machine learning or deep learning models used for ECG classification. |
| title | Integrating Notch Filtering and Statistical Methods for Improved Cardiac Diagnostics Using MATLAB |
| topic | Signal Processing Information Retrieval Image and Video Processing |
| url | https://arxiv.org/abs/2504.02847 |