Browsing by Author "Capris, Ticiana Carneiro Lopes"
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- Signal processing measurement of the results of the up-down hop test using sensorsPublication . Capris, Ticiana Carneiro Lopes; Cunha, Carlos Augusto da Silva; Pires, Ivan MiguelThe advancement of mobile technology and sensor development has profoundly impacted several sectors, including physical therapy and rehabilitation sciences. This study focuses on measuring the Up-Down Hop Test findings with sensor technologies to improve clinical assessments and rehabilitation outcomes and contribute to the growth of sports science. By incorporating sensors into mobile devices, the study investigates novel techniques for objectively analyzing data from the Up-Down Hop Test, providing a complete understanding of the patient’s lower limb function and stability. Using sensors, such as accelerometers, gyroscopes, and magnetometers, allows for the accurate capturing of movement data, which is essential for assessing the efficiency of rehabilitation programs and establishing an individual’s readiness to resume physical activity. The study describes the limitations of traditional ways of evaluating Up-Down Hop Test results, which rely on subjective assessments and physical measurements. The study uses sensor technology to overcome these issues, suggesting a more ob jective and efficient assessment process. This method improves the accuracy and reliability of test findings and facilitates the formulation of tailored rehabilitation plans based on quantitative data analysis. A thorough literature analysis offers the study’s theoretical underpinning, em phasizing the importance of the Up-Down Hop Test in physical therapy and the po tential benefits of introducing sensor technology into its evaluation. Related works are discussed, contrasting various techniques and their clinical usefulness, highlight ing the need for trustworthy, objective, and cost-effective tools for assessing athletic performance and healing. The methodology section describes the methods used to execute and evaluate the sensor-based assessment of the Up-Down Hop Test, including sensor selection, data collection protocols, and analytic approaches. Pilot tests and statistical analysis have validated the suggested method’s effectiveness, proving its ability to provide a complete knowledge of test results and guide rehabilitation efforts. The study’s findings support the viability of using sensor technology to correctly quantify Up-Down Hop Test outcomes. It provides valuable insights into the healing process and aids evidence-based decision-making in physical therapy practices. This study adds to the expanding body of knowledge about using sophisticated technology in healthcare, recommending future directions for developing more effective and tailored rehabilitation treatments.