📣 Try out the NEW Gateway to Research and let us know what you think.

We're looking for users to test the new service during August and September and share their feedback. Express your interest by completing this short form.

A comprehensive evaluation of state-of-the-art time-series deep learning models for activity-recognition in post-stroke rehabilitation assessment. (2021)

First Author: Boukhennoufa I
Attributed to:  National Centre for Nuclear Robotics (NCNR) funded by ISCF

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