Electrocardiogram (ECG) signals are critical for diagnosing cardiovascular conditions, yet their low amplitudes make them highly susceptible to various types of noise, including electrical field interference, muscular noise, and baseline wander. This study investigates the effectiveness of a combined filtering approach to enhance ECG signal quality. Utilizing a combination of high-pass and low-pass filters along with Notch and Butterworth filters, we achieved significant noise reduction. The proposed filtering method effectively mitigates power line interference and other extraneous noises, resulting in a clearer and more stable ECG signal. This improvement is essential for accurate analysis and diagnosis, minimizing the risk of misinterpretation due to noise artifacts. The filtered ECG signal retains its essential characteristics while exhibiting a smoother curve, demonstrating the robustness of the combined filtering approach. This study underscores the importance of advanced filtering techniques in improving the reliability of ECG signal interpretation, contributing to better patient outcomes in clinical settings.