An urgent problem today is the need to develop rehabilitation tools that can be used by the patient in self-care mode. Modern methods of rehabilitation of the lower limb are often limited by the availability of specialists and require constant supervision by medical personnel. The problem of incorrect foot posture can lead to numerous health complications, such as flat feet, which can be associated with diabetes and coronary heart disease. Therefore, the development of a tool for self-diagnosis of pressure on different areas of the foot and control of correction is an urgent task. The availability of this tool will contribute to effective rehabilitation in case of disorders of the lower limbs, improve posture, and slow down the progression of a number of diseases. Previous studies confirm the importance of active participation of patients in the rehabilitation process. The trend toward self-correction requires integrated technologies to provide real-time feedback. The main goal is to create the ability to adjust the position of the foot in shoes using data processing and visualiza-tion on a mobile application. The work presents the development of an automated rehabilitation tool for the lower limb, namely the electrical schematic diagram for the tool. The device uses advanced data processing methods to accurately determine the position of the foot. The analysis of the dynamics of movements and the interaction of the tool with the leg area are aimed at achieving maximum accuracy and efficiency of rehabilitation. The developed tool allows users to receive information about the position of the foot in the shoe in real time. The mobile application in the smartphone becomes a visual interface that displays important information that provides an opportunity for self-correction of posture, running technique, and various physical exercises. The automated rehabilitation tool defines a new stage in the development of technologies for self-correction of the lower limb in case of flat feet. By providing patients with a tool to actively control the rehabilitation process, this tool improves quality of life and reduces the need for ongoing medical supervision. In the future, there will be pro-gramming of the electrical circuit and development of the application for the device according to algorithms.
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