Abstract
Gait studies require a way to acquire data that provides details about how a particular activity is performed, such as walking or running. In this way, the dynamics of the gait can be assessed objectively, being able to identify alterations and allowing to guide a personalized treatment as well as to evaluate possible disabilities. In this paper, we describe the development of a Medical IoT (MIoT) gait tracking platform. This is an extension of a previous version based on a fully wireless pair of shoe insoles that can measure gait related data directly on the feet. The insoles can measure the plantar pressure by means of a Force-Sensitive Resistor (FSR) layer. The orientation and displacement of the stride can be determined using an Magnetic-Inertial Measurement Unit (MIMU) integrated into the insole. The platform includes a way to interact with the user via Bluetooth Low Energy (BLE) connection with a mobile application, as well as to host the collected data in a cloud database. This solution is designed to be used in both ways, in the clinical facility or at home while performing daily life activities.
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Acknowledgements
This project is supported by the Spanish Ministry of Science, Innovation and Universities under grants RTI2018-095209-B-C22 and receives the support of the Catalan Government under the Research group 2017SGR1624.
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Navarrete, M., Codina, M., Rezaee, A., Castells-Rufas, D., Castillejo, A., Carrabina, J. (2023). Development of a MIot Gait Tracking Platform. In: Bravo, J., Ochoa, S., Favela, J. (eds) Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022). UCAmI 2022. Lecture Notes in Networks and Systems, vol 594. Springer, Cham. https://doi.org/10.1007/978-3-031-21333-5_43
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DOI: https://doi.org/10.1007/978-3-031-21333-5_43
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