Cardiovascular diseases are the leading cause of death in the world today, resulting in treatment costs for heart disease that exceed those of other healthcare needs. Considering this, the electrocardiogram (ECG) is widely used for the identification and diagnosis of cardiovascular diseases. This research aims to develop a metric for generating artificial ECG signals using sinusoidal functions with sine raised to different exponents through Pulse Width Modulation (PWM) signals and an analog low-pass frequency filter. The Arduino UNO microcontroller was used to generate the PWM signal. This research employed the Tinker Cad software for electrical and electronic circuit simulation to generate virtual ECG signals, followed by the construction of a prototype to verify the physically generated ECG signals on an oscilloscope. The method developed in this research proved effective in generating virtual and physical ECG signals, producing an artificial ECG signal of the DII lead type where the constituent waves could be accurately identified.