Abstract

Disability is one of the most pressing health and social problems worldwide. Despite significant medical advances, there are situations in which the only and most effective treatment is amputation. Most often people lose their legs as a result of accidents, wars and industrial injuries. A person's mobility is severely limited by the loss of a lower limb, which has a negative impact on both their physical and emotional health. It definitely reduces the quality of his life. In order for a person who has had an amputation to lead a full and active life in the future, it is necessary to have a well-designed prosthesis that can simulate the normal function of the lost limb as much as possible. There are different types of prostheses with different designs and functions, but the most advanced are those with built-in microprocessors. However, even these prostheses have problems integrating movement and adjusting their operation to the individual characteristics of the patient, which makes it necessary to create and improve modern prosthetic control systems. This research proposes the consideration of an information-measuring system based on the reading of muscle activity signals and their further analysis by means of Fourier transform. As a result, the prosthesis may be controlled more precisely and smoothly, normalizing the biomechanical aspects of human gait. Keywords: Limb prosthesis, amputation, biomedical systems, force myography, signal processing, Fourier transform

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