A public dataset of running biomechanics and the effects of running speed on lower extremity kinematics and kinetics

التفاصيل البيبلوغرافية
العنوان: A public dataset of running biomechanics and the effects of running speed on lower extremity kinematics and kinetics
المؤلفون: Claudiane A. Fukuchi, Marcos Duarte, Reginaldo K. Fukuchi
المصدر: PeerJ
PeerJ, Vol 5, p e3298 (2017)
سنة النشر: 2017
مصطلحات موضوعية: Computer science, 0206 medical engineering, lcsh:Medicine, Bioengineering, 02 engineering and technology, Kinematics, General Biochemistry, Genetics and Molecular Biology, Computational Science, Set (abstract data type), 03 medical and health sciences, 0302 clinical medicine, Gait (human), Biomechanics, Gait, Simulation, ComputingMethodologies_COMPUTERGRAPHICS, Level and incline running, Physical activity, General Neuroscience, lcsh:R, 030229 sport sciences, General Medicine, File format, Kinesiology, 020601 biomedical engineering, Running economy, General Agricultural and Biological Sciences, Locomotion, Data reduction, Neuroscience, Sports
الوصف: 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.
تدمد: 2167-8359
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d59dc76ba1bebd2fe0f31bfd6135a980
https://pubmed.ncbi.nlm.nih.gov/28503379
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....d59dc76ba1bebd2fe0f31bfd6135a980
قاعدة البيانات: OpenAIRE