Design of internal antennas and electromagnetic analysis of Osseus, a diagnostic and patient screening device for osteoporosis
Osseus; Osteoporosis; Diagnosis; Machine learning; Radiofrequency.
Osteoporosis is a systemic osteometabolic disease that affects an increasing portion of the Brazilian population, which generates significant costs for the Brazilian Unified Health System (SUS). However, with a previous diagnosis, it is possible to implement preventive measures, which can prevent the occurrence of fractures and reduce SUS costs. In order to enable the necessary exams to identify the pathology and observe its evolution during treatment, maintaining agility and low costs, the development of Osseus was proposed, an instrument that combines techniques and concepts from different areas such as: software engineering, electrical, electronics, computing and biomedical. In addition, the equipment was proposed to be developed at low cost, to be easily accessible to the population and non-invasive, being developed at the Laboratory of Health Innovations and Technologies (LAIS). The latest version of Osseus, version 3.0, had some problems that prevent it from being implemented on an industrial scale. These problems are related to some operational instabilities observed in the part of radio frequency (RF) antennas, which are planar microstrip antennas. Therefore, this work proposes the implementation of improvements in Osseus, aiming to eliminate these instabilities and propose the use of new computational intelligence algorithms, to be used in the equipment. It is hoped, with this, to improve the equipment and provide a low-cost device, helping LAIS fulfill its mission, which is to make science an instrument of love for others.