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Benchmark Datasets for Bilateral Lower-Limb Neuromechanical Signals from Wearable Sensors during Unassisted Locomotion in Able-Bodied Individuals.

作者信息

Hu Blair, Rouse Elliott, Hargrove Levi

机构信息

Center for Bionic Medicine, Shirley Ryan AbilityLab, Chicago, IL, United States.

Department of Biomedical Engineering, Northwestern University, Evanston, IL, United States.

出版信息

Front Robot AI. 2018 Feb 19;5:14. doi: 10.3389/frobt.2018.00014. eCollection 2018.

DOI:10.3389/frobt.2018.00014
PMID:33500901
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7805660/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/048f/7805660/5b5369f4a7f6/frobt-05-00014-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/048f/7805660/5b5369f4a7f6/frobt-05-00014-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/048f/7805660/5b5369f4a7f6/frobt-05-00014-g001.jpg

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Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:5067-5070. doi: 10.1109/EMBC.2016.7591866.
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EMG patterns during assisted walking in the exoskeleton.在体外骨骼中辅助行走时的肌电图模式。
Front Hum Neurosci. 2014 Jun 16;8:423. doi: 10.3389/fnhum.2014.00423. eCollection 2014.
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Mechanical work performed by the individual legs during uphill and downhill walking.个体腿部在上下坡行走过程中所做的机械功。
PLoS One. 2025 Feb 12;20(2):e0318560. doi: 10.1371/journal.pone.0318560. eCollection 2025.
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Front Robot AI. 2024 Dec 4;11:1384575. doi: 10.3389/frobt.2024.1384575. eCollection 2024.
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A Novel Active Learning Framework for Cross-Subject Human Activity Recognition from Surface Electromyography.一种新颖的主动学习框架,用于从表面肌电图进行跨主题人体活动识别。
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