Treffer: Integrating Notch Filtering and Statistical Methods for Improved Cardiac Diagnostics Using MATLAB

Title:
Integrating Notch Filtering and Statistical Methods for Improved Cardiac Diagnostics Using MATLAB
Authors:
Bibar, Lohit, bose, Samali, Banerjee, Tribeni Prasad
Publication Year:
2025
Collection:
Computer Science
Subject Terms:
Electrical Engineering and Systems Science - Signal Processing, Computer Science - Information Retrieval, Electrical Engineering and Systems Science - Image and Video Processing
Document Type:
Report Working Paper
DOI:
10.48550/arXiv.2504.02847
Access URL:
http://arxiv.org/abs/2504.02847
Accession Number:
edsarx.2504.02847
Database:
arXiv

Weitere Informationen

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.
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