UNIGE document Scientific Article
previous document  unige:140115  next document
add to browser collection

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

Pierella, Camilla
Giang, Christian
Miehlbradt, Jenifer
show hidden authors show all authors [1 - 14]
Published in Journal of Neural Engineering. 2020, vol. 17, no. 4, 045002
Abstract 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.
PMID: 32516757
Full text
Article (Published version) (2 MB) - public document Free access
Supplemental data (148 Kb) - public document Free access
Research groups Neuroréhabilitation assistée par imagerie (910)
Traitement d'images médicales (893)
(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 https://archive-ouverte.unige.ch/unige:140115

242 hits



Deposited on : 2020-08-24

Export document
Format :
Citation style :