Using Wavelet-based Fractal Analysis of Inertial Measurement Unit Signals to Examine Gait Data from Men and Women during a Load Carriage Task-Reference-Cited by-同舟云学术

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Using Wavelet-based Fractal Analysis of Inertial Measurement Unit Signals to Examine Gait Data from Men and Women during a Load Carriage Task

Published:2020-10 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE)
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Author:

Ahamed Nizam U.,Krajewski Kellen T.,Johnson Camille C.,Sterczala Adam J.,Greeves Julie P.,Wardle Sophie L.,O'Leary Thomas J.,Mi Qi,Flanagan Shawn D.,Nindl Bradley C.,Connaboy Chris

Funder

Ministry of Defence

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9287816/9287978/09288076.pdf?arnumber=9288076

Cited by 3 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. The effect of external loads and biological sex on coupling variability during load carriage;Gait & Posture;2023-02

2. Gait Pattern Recognition Based on Plantar Pressure Signals and Acceleration Signals;IEEE Transactions on Instrumentation and Measurement;2022

3. Using Machine Learning and Wearable Inertial Sensor Data for the Classification of Fractal Gait Patterns in Women and Men During Load Carriage;Procedia Computer Science;2021

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