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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...

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Autores principales: Lencioni, Tiziana, Carpinella, Ilaria, Rabuffetti, Marco, Marzegan, Alberto, Ferrarin, Maurizio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
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.
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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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