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Human kinematic, kinetic and EMG data during different walking and stair ascending and descending tasks
This paper reports the kinematic, kinetic and electromyographic (EMG) dataset of human locomotion during level walking at different velocities, toe- and heel-walking, stairs ascending and descending. A sample of 50 healthy subjects, with an age between 6 and 72 years, is included. For each task, bot...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6897988/ https://www.ncbi.nlm.nih.gov/pubmed/31811148 http://dx.doi.org/10.1038/s41597-019-0323-z |
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author | Lencioni, Tiziana Carpinella, Ilaria Rabuffetti, Marco Marzegan, Alberto Ferrarin, Maurizio |
author_facet | Lencioni, Tiziana Carpinella, Ilaria Rabuffetti, Marco Marzegan, Alberto Ferrarin, Maurizio |
author_sort | Lencioni, Tiziana |
collection | PubMed |
description | This paper reports the kinematic, kinetic and electromyographic (EMG) dataset of human locomotion during level walking at different velocities, toe- and heel-walking, stairs ascending and descending. A sample of 50 healthy subjects, with an age between 6 and 72 years, is included. For each task, both raw data and computed variables are reported including: the 3D coordinates of external markers, the joint angles of lower limb in the sagittal, transversal and horizontal anatomical planes, the ground reaction forces and torques, the center of pressure, the lower limb joint mechanical moments and power, the displacement of the whole body center of mass, and the surface EMG signals of the main lower limb muscles. The data reported in the present study, acquired from subjects with different ages, represents a valuable dataset useful for future studies on locomotor function in humans, particularly as normative reference to analyze pathological gait, to test the performance of simulation models of bipedal locomotion, and to develop control algorithms for bipedal robots or active lower limb exoskeletons for rehabilitation. |
format | Online Article Text |
id | pubmed-6897988 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68979882019-12-13 Human kinematic, kinetic and EMG data during different walking and stair ascending and descending tasks Lencioni, Tiziana Carpinella, Ilaria Rabuffetti, Marco Marzegan, Alberto Ferrarin, Maurizio Sci Data Data Descriptor This paper reports the kinematic, kinetic and electromyographic (EMG) dataset of human locomotion during level walking at different velocities, toe- and heel-walking, stairs ascending and descending. A sample of 50 healthy subjects, with an age between 6 and 72 years, is included. For each task, both raw data and computed variables are reported including: the 3D coordinates of external markers, the joint angles of lower limb in the sagittal, transversal and horizontal anatomical planes, the ground reaction forces and torques, the center of pressure, the lower limb joint mechanical moments and power, the displacement of the whole body center of mass, and the surface EMG signals of the main lower limb muscles. The data reported in the present study, acquired from subjects with different ages, represents a valuable dataset useful for future studies on locomotor function in humans, particularly as normative reference to analyze pathological gait, to test the performance of simulation models of bipedal locomotion, and to develop control algorithms for bipedal robots or active lower limb exoskeletons for rehabilitation. Nature Publishing Group UK 2019-12-06 /pmc/articles/PMC6897988/ /pubmed/31811148 http://dx.doi.org/10.1038/s41597-019-0323-z Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Lencioni, Tiziana Carpinella, Ilaria Rabuffetti, Marco Marzegan, Alberto Ferrarin, Maurizio Human kinematic, kinetic and EMG data during different walking and stair ascending and descending tasks |
title | Human kinematic, kinetic and EMG data during different walking and stair ascending and descending tasks |
title_full | Human kinematic, kinetic and EMG data during different walking and stair ascending and descending tasks |
title_fullStr | Human kinematic, kinetic and EMG data during different walking and stair ascending and descending tasks |
title_full_unstemmed | Human kinematic, kinetic and EMG data during different walking and stair ascending and descending tasks |
title_short | Human kinematic, kinetic and EMG data during different walking and stair ascending and descending tasks |
title_sort | human kinematic, kinetic and emg data during different walking and stair ascending and descending tasks |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6897988/ https://www.ncbi.nlm.nih.gov/pubmed/31811148 http://dx.doi.org/10.1038/s41597-019-0323-z |
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