A public dataset of running biomechanics and the effects of running speed on lower extremity kinematics and kinetics
Background The goals of this study were (1) to present the set of data evaluating running biomechanics (kinematics and kinetics), including data on running habits, demographics, and levels of muscle strength and flexibility made available at Figshare (DOI: 10.6084/m9.figshare.4543435); and (2) to ex...
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2017-05-01
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| Series: | PeerJ |
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| Online Access: | https://peerj.com/articles/3298.pdf |
| _version_ | 1827607230169481216 |
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| author | Reginaldo K. Fukuchi Claudiane A. Fukuchi Marcos Duarte |
| author_facet | Reginaldo K. Fukuchi Claudiane A. Fukuchi Marcos Duarte |
| author_sort | Reginaldo K. Fukuchi |
| collection | DOAJ |
| description | Background The goals of this study were (1) to present the set of data evaluating running biomechanics (kinematics and kinetics), including data on running habits, demographics, and levels of muscle strength and flexibility made available at Figshare (DOI: 10.6084/m9.figshare.4543435); and (2) to examine the effect of running speed on selected gait-biomechanics variables related to both running injuries and running economy. Methods The lower-extremity kinematics and kinetics data of 28 regular runners were collected using a three-dimensional (3D) motion-capture system and an instrumented treadmill while the subjects ran at 2.5 m/s, 3.5 m/s, and 4.5 m/s wearing standard neutral shoes. Results A dataset comprising raw and processed kinematics and kinetics signals pertaining to this experiment is available in various file formats. In addition, a file of metadata, including demographics, running characteristics, foot-strike patterns, and muscle strength and flexibility measurements is provided. Overall, there was an effect of running speed on most of the gait-biomechanics variables selected for this study. However, the foot-strike patterns were not affected by running speed. Discussion Several applications of this dataset can be anticipated, including testing new methods of data reduction and variable selection; for educational purposes; and answering specific research questions. This last application was exemplified in the study’s second objective. |
| first_indexed | 2024-03-09T06:50:28Z |
| format | Article |
| id | doaj.art-bae301c6cfc64623816ef0ebfad35a2a |
| institution | Directory Open Access Journal |
| issn | 2167-8359 |
| language | English |
| last_indexed | 2024-03-09T06:50:28Z |
| publishDate | 2017-05-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ |
| spelling | doaj.art-bae301c6cfc64623816ef0ebfad35a2a2023-12-03T10:27:56ZengPeerJ Inc.PeerJ2167-83592017-05-015e329810.7717/peerj.3298A public dataset of running biomechanics and the effects of running speed on lower extremity kinematics and kineticsReginaldo K. Fukuchi0Claudiane A. Fukuchi1Marcos Duarte2Biomedical Engineering Program, Universidade Federal do ABC, São Bernardo do Campo, São Paulo, BrazilNeuroscience and Cognition Graduate Program, Universidade Federal do ABC, São Bernardo do Campo, São Paulo, BrazilBiomedical Engineering Program, Universidade Federal do ABC, São Bernardo do Campo, São Paulo, BrazilBackground The goals of this study were (1) to present the set of data evaluating running biomechanics (kinematics and kinetics), including data on running habits, demographics, and levels of muscle strength and flexibility made available at Figshare (DOI: 10.6084/m9.figshare.4543435); and (2) to examine the effect of running speed on selected gait-biomechanics variables related to both running injuries and running economy. Methods The lower-extremity kinematics and kinetics data of 28 regular runners were collected using a three-dimensional (3D) motion-capture system and an instrumented treadmill while the subjects ran at 2.5 m/s, 3.5 m/s, and 4.5 m/s wearing standard neutral shoes. Results A dataset comprising raw and processed kinematics and kinetics signals pertaining to this experiment is available in various file formats. In addition, a file of metadata, including demographics, running characteristics, foot-strike patterns, and muscle strength and flexibility measurements is provided. Overall, there was an effect of running speed on most of the gait-biomechanics variables selected for this study. However, the foot-strike patterns were not affected by running speed. Discussion Several applications of this dataset can be anticipated, including testing new methods of data reduction and variable selection; for educational purposes; and answering specific research questions. This last application was exemplified in the study’s second objective.https://peerj.com/articles/3298.pdfSportsPhysical activityLocomotionGaitBiomechanics |
| spellingShingle | Reginaldo K. Fukuchi Claudiane A. Fukuchi Marcos Duarte A public dataset of running biomechanics and the effects of running speed on lower extremity kinematics and kinetics PeerJ Sports Physical activity Locomotion Gait Biomechanics |
| title | A public dataset of running biomechanics and the effects of running speed on lower extremity kinematics and kinetics |
| title_full | A public dataset of running biomechanics and the effects of running speed on lower extremity kinematics and kinetics |
| title_fullStr | A public dataset of running biomechanics and the effects of running speed on lower extremity kinematics and kinetics |
| title_full_unstemmed | A public dataset of running biomechanics and the effects of running speed on lower extremity kinematics and kinetics |
| title_short | A public dataset of running biomechanics and the effects of running speed on lower extremity kinematics and kinetics |
| title_sort | public dataset of running biomechanics and the effects of running speed on lower extremity kinematics and kinetics |
| topic | Sports Physical activity Locomotion Gait Biomechanics |
| url | https://peerj.com/articles/3298.pdf |
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