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A multimodal approach to capture post-stroke temporal dynamics of recovery |
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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. | |
Identifiers | PMID: 32516757 | |
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Research groups | Neuroréhabilitation assistée par imagerie (910) Traitement d'images médicales (893) | |
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 https://archive-ouverte.unige.ch/unige:140115 |