The RPM3D project: 3D Kinematics for Remote Patient Monitoring
December 09, 2022 Β· Declared Dead Β· π IGS
"No code URL or promise found in abstract"
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Authors
Alicia FornΓ©s, Asma Bensalah, Cristina Carmona-Duarte, Jialuo Chen, Miguel A. Ferrer, Andreas Fischer, Josep LladΓ³s, Cristina MartΓn, Eloy Opisso, RΓ©jean Plamondon, Anna Scius-Bertrand, Josep Maria Tormos
arXiv ID
2212.05063
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI
Citations
3
Venue
IGS
Last Checked
4 months ago
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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