A comprehensive evaluation of state-of-the-art time-series deep learning models for activity-recognition in post-stroke rehabilitation assessment. (2021)
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/embc46164.2021.9630462
PubMed Identifier: 34891733
Publication URI: http://europepmc.org/abstract/MED/34891733
Type: Journal Article/Review
Volume: 2021
Parent Publication: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
ISSN: 2375-7477