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arXiv · 2212.05063

The RPM3D project: 3D Kinematics for Remote Patient Monitoring

Alicia Fornés·Asma Bensalah·Cristina Carmona-Duarte·Jialuo Chen·Miguel A. Ferrer·Andreas Fischer·Josep Lladós·Cristina Martín·Eloy Opisso·Réjean Plamondon·Anna Scius-Bertrand·Josep Maria Tormos
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Abstract

This project explores the feasibility of remote patient monitoring based on the analysis of 3D movements captured with smartwatches. We base our analysis on the Kinematic Theory of Rapid Human Movement. We have validated our research in a real case scenario for stroke rehabilitation at the Guttmann Institute5 (neurorehabilitation hospital), showing promising results. Our work could have a great impact in remote healthcare applications, improving the medical efficiency and reducing the healthcare costs. Future steps include more clinical validation, developing multi-modal analysis architectures (analysing data from sensors, images, audio, etc.), and exploring the application of our technology to monitor other neurodegenerative diseases.

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Alicia Fornés, Asma Bensalah, Cristina Carmona-Duarte, Jialuo Chen, Miguel A. Ferrer, Andreas Fischer, Josep Lladós, Cristina Martín, Eloy Opisso, Réjean Plamondon, Anna Scius-Bertrand, Josep Maria Tormos. 2022-12-09. The RPM3D project: 3D Kinematics for Remote Patient Monitoring. https://doi.org/10.1007/978-3-031-19745-1_16

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