PT Unknown
AU Alicia Fornes
   Asma Bensalah
   Cristina Carmona_Duarte
   Jialuo Chen
   Miguel A. Ferrer
   Andreas Fischer
   Josep Llados
   Cristina Martin
   Eloy Opisso
   Rejean Plamondon
   Anna Scius-Bertrand
   Josep Maria Tormos
TI The RPM3D Project: 3D Kinematics for Remote Patient Monitoring
BT Intertwining Graphonomics with Human Movements. 20th International Conference of the International Graphonomics Society, IGS 2022
PY 2022
BP 217
EP 226
VL 13424
DI 10.1007/978-3-031-19745-1_16
DE Healthcare applications; Kinematic; Theory of Rapid Human Movements; Human activity recognition; Stroke rehabilitation; 3D kinematics
AB 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.
ER