<p>Deep convolutional neural network analysis of biomechanical gait improvements following ankle-foot orthosis use in stroke patients</p>

Yeo Joon Yun; Jeong Kyu  Hoh; Shi-Uk Lee; Seongho Jang

doi:10.7490/f1000research.1120373.1

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Yun YJ, Hoh JK, Lee SU and Jang S. Deep convolutional neural network analysis of biomechanical gait improvements following ankle-foot orthosis use in stroke patients [version 1; not peer reviewed]. F1000Research 2025, 14:1144 (poster) (https://doi.org/10.7490/f1000research.1120373.1)

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Deep convolutional neural network analysis of biomechanical gait improvements following ankle-foot orthosis use in stroke patients

Yeo Joon Yun, Jeong Kyu Hoh, Shi-Uk Lee, Seongho Jang¹

Published 21 Oct 2025 (https://doi.org/10.7490/f1000research.1120373.1)

Author Affiliations

¹ Physical Medicine and Rehabilitation, Hanyang University College of Medicine, Seongdong-gu, Seoul, South Korea

Copyright © 2025 Yun YJ et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 21 Oct 2025

Deep convolutional neural network analysis of biomechanical gait improvements following ankle-foot orthosis use in stroke patients
[version 1; not peer reviewed]

Yeo Joon Yun, Jeong Kyu Hoh, Shi-Uk Lee, Seongho Jang¹

Author Affiliations

¹ Physical Medicine and Rehabilitation, Hanyang University College of Medicine, Seongdong-gu, Seoul, South Korea

Abstract

Competing Interests

No competing interests were disclosed

Keywords

gait analysis, CNN, Grad-CAM

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