Please use this identifier to cite or link to this item: https://accedacris.ulpgc.es/handle/10553/120345
Title: The RPM3D Project: 3D Kinematics for Remote Patient Monitoring
Authors: Fornés, Alicia
Bensalah, Asma
Carmona-Duarte, Cristina 
Chen, Jialuo
Ferrer, Miguel A. 
Fischer, Andreas
Lladós, Josep
Martín, Cristina
Opisso, Eloy
Plamondon, Réjean
Scius-Bertrand, Anna
Tormos, Josep Maria
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: 3D Kinematics
Healthcare Applications
Human Activity Recognition
Kinematic Theory Of Rapid Human Movements
Stroke Rehabilitation
Issue Date: 2022
Journal: Lecture Notes in Computer Science 
Conference: 20th Conference of the International Graphonomics Society
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.
URI: https://accedacris.ulpgc.es/handle/10553/120345
ISBN: 9783031197444
ISSN: 0302-9743
DOI: 10.1007/978-3-031-19745-1_16
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 13424 LNCS, p. 217-226, (Enero 2022)
Appears in Collections:Actas de congresos
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