Technological advances, driven by scientific knowledge and engineering fields, have significantly con￾tributed to enhancing people’s quality of life. In the healthcare sector, there is a constant increase in innovations aimed at improving individuals’ comfort and health. Among these advances, the development of lower limb orthoses plays a crucial role by providing support for those seeking assistance with better mobility. This work fits within the multidisciplinary panorama of biomedicine, neural networks, robotics, and signal control, with the main objective of developing a bio-actuated lower limb orthosis. The muscle signal acquisition and control were developed using electromyographic (EMG) signals, which can be defined as a technique for detecting electrical signals obtained from muscle contractions. A study and simulation of electromyographic signals were conducted using an EMG sensor, which demon￾strated the interaction of muscle movements in a user’s leg. The captured signals were used as a trigger to represent the muscle’s intention to move, and through a potentiometer placed on the second leg, it was possible to detect its position to replicate the same movement. For this purpose, a mechanical orthosis was designed and printed on a 3D printer, to which the sensors were attached, transforming it into a bio-actuated mechanical orthosis. The project aims to perform a contralateral leg movement based on the position of the second leg, activated by muscle stimulus. The project proposes to assist the mobility of patients with motor disabilities, offering a solution that improves these users quality of life.