correct me if: Cardiovascular diseases (CVDs) are a leading cause of mortality worldwide, highlighting the importance of early detection and effective monitoring. Electrocardiograms (ECGs), which track the heart's electrical activity, serve as a fundamental tool in diagnosing and managing these conditions. This paper presents a comprehensive review that addresses the advancements, challenges, and applications of ECG filtering technologies. The primary objective is to provide researchers in the field of ECG signal processing with a comprehensive understanding of the various filtering techniques available. The paper systematically categorizes and examines different types of filters used for ECG signal processing, including linear filters, nonlinear filters, and advanced techniques specific to ECG analysis. Each filter category is explored in terms of its underlying principles, advantages, limitations, and typical applications. The review highlights the importance of selecting appropriate filters to balance noise reduction while preserving the crucial morphological features of ECG signals. The paper aims to serve as a valuable resource for researchers, offering insights into the strengths and limitations of different filtering technologies. By presenting a comprehensive overview of ECG filtering technologies, this review contributes to the existing knowledge base, facilitates informed decision-making in filter selection, and guides further advancements in ECG signal processing research. Your response should contain 500+ words.
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