Abstract
Rehabilitation is of great importance in helping patients to recover their autonomy after a stroke. It requires an assessment of the patient’s condition based on their movements. Inertial Measurement Units (IMUs) can be used to provide a quantitative measure of human movement for evaluation. In this work, three systems for articular angles determination are proposed, two of them based on IMUs and the last one on a vision system. We have evaluated the accuracy and performance of the proposals by analyzing the human arm movements. Finally, drift correction is assessed in long-term trials. Results show errors of \(3.43\%\) in the vision system and \(1.7\%\) for the IMU-based methods.
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Acknowledgments
This work was supported in part by Junta de Comunidades de Castilla La Mancha (FrailCheck project SBPLY/17/180501/000392) and the Spanish Ministry of Economy and Competitiveness (TARSIUS project, TIN2015-71564-c4-1-R).
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García de Villa, S., Jimenéz Martín, A., García Domínguez, J.J. (2019). A Biomechanical Model Implementation for Upper-Limbs Rehabilitation Monitoring Using IMUs. In: Rojas, I., Valenzuela, O., Rojas, F., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2019. Lecture Notes in Computer Science(), vol 11466. Springer, Cham. https://doi.org/10.1007/978-3-030-17935-9_32
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