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A Novel Model to Generate Heterogeneous and Realistic Time-Series Data for Post-Stroke Rehabilitation Assessment. (2023)

First Author: Boukhennoufa I

Attributed to: EDGE - Adaptive Deep Learning Hardware for Embedded Platforms funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/tnsre.2023.3283045

PubMed Identifier: 37276101

Publication URI: http://europepmc.org/abstract/MED/37276101

Type: Journal Article/Review

Volume: 31

Parent Publication: IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society

ISSN: 1534-4320