Computational gait analysis for post-stroke rehabilitation purposes using fuzzy numbers, fractal dimension and neural networks-Reference-Cited by-同舟云学术

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Computational gait analysis for post-stroke rehabilitation purposes using fuzzy numbers, fractal dimension and neural networks

Published:2020-01-16 Issue: Volume: Page:191-198
ISSN:2300-1917
Container-title:Bulletin of the Polish Academy of Sciences Technical Sciences
language:pl
Short-container-title:

Author:

Prokopowicz P.,Mikołajewski D.,Tyburek K.,Mikołajewska E.

Publisher

Polish Academy of Sciences Chancellery

Subject

Artificial Intelligence,Computer Networks and Communications,General Engineering,Information Systems,Atomic and Molecular Physics, and Optics

Link

https://journals.pan.pl/Content/115170/PDF/03D_191-198_01300_Bpast.No.68-2_29.04.20_K4A_SS_TeX.pdf

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning applied to gait analysis data in cerebral palsy and stroke: A systematic review;Gait & Posture;2024-06

2. Design and preliminary validation of a high-fidelity vascular simulator for robot-assisted manipulation;Scientific Reports;2024-02-27

3. Overview of 3D Printed Exoskeleton Materials and Opportunities for Their AI-Based Optimization;Applied Sciences;2023-07-20

4. Novel Methods of AI-Based Gait Analysis in Post-Stroke Patients;Applied Sciences;2023-05-20

5. Bespoke Fuzzy Logic Design to Automate a Better Understanding of Running Gait Analysis;IEEE Journal of Biomedical and Health Informatics;2023-05

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