Older people and stroke: a machine learning approach to personalize the rehabilitation of gait

The clinical implication emphasized a connection between gait parameters and cerebral lesion location, notably linking basal ganglia lesions to prolonged double support time. This underscores the basal ganglia's role in motor control, sensory processing, and postural control, highlighting the importance of sensory input in post-stroke rehabilitation.

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Publication Details

Journal
Frontiers in Aging
Published
2025-05-22
DOI
https://doi.org/10.3389/fragi.2025.1562355
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
Field-Weighted Citation Impact
0.00

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Older people and stroke: a machine learning approach to personalize the rehabilitation of gait

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Older people and stroke: a machine learning approach to personalize the rehabilitation of gait

Mirko Giannoni, Ilaria Barboni, Fabrizia Lattanzio, Roberta Bevilacqua, Leonardo Biscetti, Giuseppe Pelliccioni, Elisa Casoni, Lorenzo Fantechi, Federico Barbarossa, Marco Benadduci, Elvira Maranesi, Giovanni Renato Riccardi, Enrico Paci, Daniela Fornarelli, Valentina Di Donna, Manuela Sallei, Sara Mecozzi
article en

Abstract

The clinical implication emphasized a connection between gait parameters and cerebral lesion location, notably linking basal ganglia lesions to prolonged double support time. This underscores the basal ganglia's role in motor control, sensory processing, and postural control, highlighting the importance of sensory input in post-stroke rehabilitation.

Frontiers in AgingVol. 6
Istituti di Ricovero e Cura a Carattere Scientifico (IT), Istituto Nazionale di Riposo e Cura per Anziani (IT)
Ministero della Salute
Good health and well-being
Openalex Percentile: Top 85%
Stroke Rehabilitation and Recovery
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