@InProceedings{AliciaFornes2022,
author="Alicia Fornes
and Asma Bensalah
and Cristina Carmona\_Duarte
and Jialuo Chen
and Miguel A. Ferrer
and Andreas Fischer
and Josep Llados
and Cristina Martin
and Eloy Opisso
and Rejean Plamondon
and Anna Scius-Bertrand
and Josep Maria Tormos",
title="The RPM3D Project: 3D Kinematics for Remote Patient Monitoring",
booktitle="Intertwining Graphonomics with Human Movements. 20th International Conference of the International Graphonomics Society, IGS 2022",
year="2022",
volume="13424",
pages="217--226",
optkeywords="Healthcare applications",
optkeywords="Kinematic",
optkeywords="Theory of Rapid Human Movements",
optkeywords="Human activity recognition",
optkeywords="Stroke rehabilitation",
optkeywords="3D kinematics",
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 Institute (https://www.guttmann.com/en/) (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.",
optnote="DAG; 600.121; 600.162; 602.230; 600.140",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=3739), last updated on Mon, 30 Oct 2023 12:15:42 +0100",
doi="10.1007/978-3-031-19745-1_16",
opturl="https://link.springer.com/chapter/10.1007/978-3-031-19745-1_16",
file=":http://refbase.cvc.uab.es/files/FBC2022.pdf:PDF"
}