Dataset of lower extremity joint angles, moments and forces in distance running
This study presents a database of joint angles, moments, and forces of the lower extremity from distance running at a submaximal speed in recreational runners. Twenty recreational runners participated in two experimental sessions, specifically pre and post a 5k treadmill run, with a synchronous coll...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844022028055 |
| _version_ | 1797987832280645632 |
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| author | Qichang Mei Justin Fernandez Liangliang Xiang Zixiang Gao Peimin Yu Julien S. Baker Yaodong Gu |
| author_facet | Qichang Mei Justin Fernandez Liangliang Xiang Zixiang Gao Peimin Yu Julien S. Baker Yaodong Gu |
| author_sort | Qichang Mei |
| collection | DOAJ |
| description | This study presents a database of joint angles, moments, and forces of the lower extremity from distance running at a submaximal speed in recreational runners. Twenty recreational runners participated in two experimental sessions, specifically pre and post a 5k treadmill run, with a synchronous collection of markers trajectories and ground reaction forces for both limbs in walking and running trials. The raw data in C3D files could be used for musculoskeletal modelling. Extra datasets of joint angles, moments, and forces are presented ready-for-use in MAT files, which could be as reference for study of biomechanical alterations from distance running. Applying advanced data processing techniques (Machine Learning algorithms) to these datasets (C3D & MAT), such as Principal Component Analysis, could extract key features of variation, thus potentially being applied for correlation with accelerometric and gyroscope parameters from wearable sensors during field running. Dataset of multi-segmental foot could be another contribution for the investigation of foot complex biomechanics from distance running. The dataset from Asian males may also be used for population-based studies of running biomechanics. |
| first_indexed | 2024-04-11T07:54:37Z |
| format | Article |
| id | doaj.art-37cc9acbf2974d3a888f2f8637de07f8 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-11T07:54:37Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-37cc9acbf2974d3a888f2f8637de07f82022-12-22T04:35:58ZengElsevierHeliyon2405-84402022-11-01811e11517Dataset of lower extremity joint angles, moments and forces in distance runningQichang Mei0Justin Fernandez1Liangliang Xiang2Zixiang Gao3Peimin Yu4Julien S. Baker5Yaodong Gu6Faculty of Sports Science, Ningbo University, Ningbo, China; Research Academy of Grand Health, Ningbo University, Ningbo, China; Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand; Corresponding author.Faculty of Sports Science, Ningbo University, Ningbo, China; Research Academy of Grand Health, Ningbo University, Ningbo, China; Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand; Department of Engineering Science, The University of Auckland, Auckland, New ZealandFaculty of Sports Science, Ningbo University, Ningbo, China; Research Academy of Grand Health, Ningbo University, Ningbo, China; Auckland Bioengineering Institute, The University of Auckland, Auckland, New ZealandFaculty of Sports Science, Ningbo University, Ningbo, China; Research Academy of Grand Health, Ningbo University, Ningbo, China; Faculty of Engineering, University of Pannonia, Veszprém, HungaryFaculty of Sports Science, Ningbo University, Ningbo, China; Research Academy of Grand Health, Ningbo University, Ningbo, China; Auckland Bioengineering Institute, The University of Auckland, Auckland, New ZealandDepartment of Sport and Physical Education, Hong Kong Baptist University, Hong Kong, ChinaFaculty of Sports Science, Ningbo University, Ningbo, China; Research Academy of Grand Health, Ningbo University, Ningbo, China; Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand; Corresponding author.This study presents a database of joint angles, moments, and forces of the lower extremity from distance running at a submaximal speed in recreational runners. Twenty recreational runners participated in two experimental sessions, specifically pre and post a 5k treadmill run, with a synchronous collection of markers trajectories and ground reaction forces for both limbs in walking and running trials. The raw data in C3D files could be used for musculoskeletal modelling. Extra datasets of joint angles, moments, and forces are presented ready-for-use in MAT files, which could be as reference for study of biomechanical alterations from distance running. Applying advanced data processing techniques (Machine Learning algorithms) to these datasets (C3D & MAT), such as Principal Component Analysis, could extract key features of variation, thus potentially being applied for correlation with accelerometric and gyroscope parameters from wearable sensors during field running. Dataset of multi-segmental foot could be another contribution for the investigation of foot complex biomechanics from distance running. The dataset from Asian males may also be used for population-based studies of running biomechanics.http://www.sciencedirect.com/science/article/pii/S2405844022028055Running biomechanicsLower extremityContact forcesPrincipal component analysisStatistical parametric mapping |
| spellingShingle | Qichang Mei Justin Fernandez Liangliang Xiang Zixiang Gao Peimin Yu Julien S. Baker Yaodong Gu Dataset of lower extremity joint angles, moments and forces in distance running Heliyon Running biomechanics Lower extremity Contact forces Principal component analysis Statistical parametric mapping |
| title | Dataset of lower extremity joint angles, moments and forces in distance running |
| title_full | Dataset of lower extremity joint angles, moments and forces in distance running |
| title_fullStr | Dataset of lower extremity joint angles, moments and forces in distance running |
| title_full_unstemmed | Dataset of lower extremity joint angles, moments and forces in distance running |
| title_short | Dataset of lower extremity joint angles, moments and forces in distance running |
| title_sort | dataset of lower extremity joint angles moments and forces in distance running |
| topic | Running biomechanics Lower extremity Contact forces Principal component analysis Statistical parametric mapping |
| url | http://www.sciencedirect.com/science/article/pii/S2405844022028055 |
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