IMU-Based Systems for Upper-Limb Kinematic Analysis in Clinical Applications: A Systematic Review

Wearable inertial sensors have undergone great development, offering an easy approach to track physical activity for both athletes and the general public. Their immense potential to assess motion impairment in clinical practice is now fostering research on evaluation protocols, sensor configurations...

Descripción completa

Detalles Bibliográficos
Autores: Favata, Alessandra, Gallart-Agut, Roger, Pamies-Vila, Rosa, Torras, Carme, Font-Llagunes, Josep Maria
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/384866
Acceso en línea:http://hdl.handle.net/10261/384866
https://api.elsevier.com/content/abstract/scopus_id/85200820045
Access Level:acceso abierto
Palabra clave:Clinical environment
Home-setting
Inertial measurement unit (IMU)
Neurological disease
Neuromuscular disease
Upper-limb
Descripción
Sumario:Wearable inertial sensors have undergone great development, offering an easy approach to track physical activity for both athletes and the general public. Their immense potential to assess motion impairment in clinical practice is now fostering research on evaluation protocols, sensor configurations, and significant metrics that could be helpful to evaluate the condition of patients with a motor disease. This systematic review provides a clear picture of the current state-of-art in this research area, outlining dominant trends, promising opportunities for future work, and providing some guidelines to pursue them. We review inertial measurement unit (IMU)-based systems that have been used to assess upper-limb kinematics in people with acquired neurological disease and neuromuscular disease, over the last 20 years. We evaluate the technological characteristics of the sensors and the clinical contexts in which they have been applied. Finally, we study the biomechanical metrics analyzed in the reviewed papers, focusing on those with clinical relevance to assess and evaluate the motor status of the patients.