Scientific article
Open access

A multimodal approach to capture post-stroke temporal dynamics of recovery

Published inJournal of Neural Engineering, vol. 17, no. 4, 045002
Publication date2020

Several training programs have been developed in the past to restore motor functions after stroke. Their efficacy strongly relies on the possibility to assess individual levels of impairment and recovery rate. However, commonly used clinical scales rely mainly on subjective functional assessments and are not able to provide a complete description of patients' neuro-biomechanical status. Therefore, current clinical tests should be integrated with specific physiological measurements, i.e. kinematic, muscular, and brain activities, to obtain a deep understanding of patients' condition and of its evolution through time and rehabilitative intervention.

Citation (ISO format)
PIERELLA, Camilla et al. A multimodal approach to capture post-stroke temporal dynamics of recovery. In: Journal of Neural Engineering, 2020, vol. 17, n° 4, p. 045002. doi: 10.1088/1741-2552/ab9ada
Main files (1)
Article (Published version)
Secondary files (1)
ISSN of the journal1741-2560

Technical informations

Creation07/23/2020 9:25:00 AM
First validation07/23/2020 9:25:00 AM
Update time03/15/2023 10:27:22 PM
Status update03/15/2023 10:27:21 PM
Last indexation10/19/2023 1:22:19 PM
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack