This paper addresses the issue of artifact removal from electrocardiographic signals using active filtars. Electrocardiography (ECG) is a key diagnostic tool that allows physicians to analyze the electrical activity of the heart, providing valuable insights into patients' cardiac health. The history of electrocardiography dates back to the late 19th century, with a significant contribution from Willem Einthoven, who developed the first practical ECG device. The focus of this paper is the design and implementation of a low-pass filtar for removing artifacts from ECG signals. Filtaring is essential for eliminating noise and unwanted components that can interfere with accurate ECG reading and analysis. The paper employs mathematical methods and simulation tools such as MATLAB and TINA-TI for the calculation and performance analysis of the filtar. Through simulations and practical examples, the filtar's responses to step and impulse signals are demonstrated, along with Bode plots for the normalized and denormalized transfer function. The designed filtar has shown effectiveness in removing high-frequency noise, ensuring a clearer and more accurate ECG signal. The implementation of the filtar is presented through detailed schematic diagrams and the layout of components on a printed circuit board.