ECG Signal Processing Program with MATLAB Implementation

When conducting electrocardiogram (ECG) research, noise reduction preprocessing and data normalization are essential steps. This program offers a collection of MATLAB scripts and ECG datasets featuring high-frequency and low-frequency notch filters, ECG signal simulation modules, and other processing algorithms. The implementation includes digital filter design using Butterworth/Chebyshev configurations for noise removal, Z-score normalization techniques for data standardization, and synthetic ECG generation based on physiological models. These resources provide hands-on experience with practical code examples that demonstrate key signal processing concepts, helping researchers understand both the theoretical principles and practical applications of ECG analysis. Whether you are new to ECG research or an experienced professional, these tools offer valuable support through well-documented code structure, parameter-tuning examples, and real-world data processing scenarios that illustrate complete workflow implementations from raw signal input to cleaned output.