Intelligent prediction of dynamic characteristics during exercise in patients with stroke

IMU-based gait analysis in patients with stroke demonstrated the potential to serve as an alternative to traditional 3D optical motion capture systems, particularly in non-laboratory or resource-limited settings. This approach offers portability and practicality for sports scientists and clinicians, supporting its potential integration into routine clinical rehabilitation assessments.

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Publication Details

Journal
Journal of NeuroEngineering and Rehabilitation
Published
2025-09-29
DOI
https://doi.org/10.1186/s12984-025-01734-5
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
Field-Weighted Citation Impact
0.00

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article

Intelligent prediction of dynamic characteristics during exercise in patients with stroke

Luxing Zhou, Qinghua Meng, Zhiyuan Yang, Nan Zhang et al.
Journal of NeuroEngineering and Rehabilitation
Stroke Rehabilitation and Recovery
article

Intelligent prediction of dynamic characteristics during exercise in patients with stroke

Luxing Zhou, Qinghua Meng, Zhiyuan Yang, Nan Zhang, Chunyu Bao, Hongxiu Leng, Miaomiao Xiao
article en

Abstract

IMU-based gait analysis in patients with stroke demonstrated the potential to serve as an alternative to traditional 3D optical motion capture systems, particularly in non-laboratory or resource-limited settings. This approach offers portability and practicality for sports scientists and clinicians, supporting its potential integration into routine clinical rehabilitation assessments.

Journal of NeuroEngineering and RehabilitationVol. 22(1)
Tianjin University of Sport (CN)
National Natural Science Foundation of China, Natural Science Foundation of Tianjin City
Openalex Percentile: Top 67%
Stroke Rehabilitation and Recovery
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