Publication: Kinematic Mobile Drop Jump Analysis at Different Heights Based on a Smartphone Inertial Sensor.
dc.contributor.author | Mateos-Angulo, Alvaro | |
dc.contributor.author | Galan-Mercant, Alejandro | |
dc.contributor.author | Cuesta-Vargas, Antonio Ignacio | |
dc.date.accessioned | 2023-02-09T09:38:17Z | |
dc.date.available | 2023-02-09T09:38:17Z | |
dc.date.issued | 2020-07 | |
dc.description.abstract | The purpose of this study was to describe the acceleration variables in a plyometric jump test using the inertial sensor built into an iPhone 4S® smartphone, and the jumping variables from a contact mat. A cross-sectional study was conducted involving 16 healthy young adults. Linear acceleration, flight time, contact time and jump height were measured in a drop jump test from 60 cm and from 30 cm. Greater acceleration values were found in the drop jump test from 60 cm; the same was observed for the values from the contact mat. Multiple regression analysis was performed for each drop jump test: jump height was used as the dependent variable, and the most relevant variables were used as predictor variables (weight and maximum angular velocity in the Y axis for analysis of the drop jump from 60 cm, and weight and maximum acceleration in the Z axis for the drop jump from 30 cm). We found a significant regression model for the drop jump test from 60 cm (R2 = 0.515, p " 0.001) and for the test from 30 cm (R2 = 0.460, p " 0.01). According to the results obtained in this study, the built-in iPhone 4S® inertial sensor is able to measure acceleration for healthy young adults performing a vertical drop jump test. The acceleration kinematic variables are higher in the drop jump test from 60 cm than from 30 cm. | |
dc.description.version | Si | |
dc.identifier.citation | Mateos-Angulo A, Galán-Mercant A, Cuesta-Vargas AI. Kinematic Mobile Drop Jump Analysis at Different Heights Based on a Smartphone Inertial Sensor. J Hum Kinet. 2020 Jul 21;73:57-65 | |
dc.identifier.doi | 10.2478/hukin-2019-0131 | |
dc.identifier.issn | 1640-5544 | |
dc.identifier.pmc | PMC7386144 | |
dc.identifier.pmid | 32774537 | |
dc.identifier.pubmedURL | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386144/pdf | |
dc.identifier.unpaywallURL | https://www.sciendo.com/pdf/10.2478/hukin-2019-0131 | |
dc.identifier.uri | http://hdl.handle.net/10668/16077 | |
dc.journal.title | Journal of human kinetics | |
dc.journal.titleabbreviation | J Hum Kinet | |
dc.language.iso | en | |
dc.organization | Hospital Universitario Puerta del Mar | |
dc.organization | Instituto de Investigación e Innovación en Ciencias Biomédicas | |
dc.organization | Instituto de Investigación Biomédica de Málaga-IBIMA | |
dc.page.number | 57-65 | |
dc.provenance | Realizada la curación de contenido 26/08/2024 | |
dc.publisher | Academy of Physical Education in Katowice | |
dc.pubmedtype | Journal Article | |
dc.relation.publisherversion | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386144/pdf/hukin-73-057.pdf | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
dc.rights.accessRights | open access | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | Acceleration | |
dc.subject | Biomechanics | |
dc.subject | Physical performance | |
dc.subject | Plyometric training | |
dc.subject.decs | Adulto joven | |
dc.subject.decs | Análisis de regresión | |
dc.subject.decs | Estudios transversales | |
dc.subject.decs | Fenómenos biomecánicos | |
dc.subject.decs | Teléfono inteligente | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Cross-sectional studies | |
dc.subject.mesh | Biomechanical phenomena | |
dc.subject.mesh | Smartphone | |
dc.subject.mesh | Regression analysis | |
dc.subject.mesh | Young adult | |
dc.title | Kinematic Mobile Drop Jump Analysis at Different Heights Based on a Smartphone Inertial Sensor. | |
dc.type | research article | |
dc.type.hasVersion | VoR | |
dc.volume.number | 73 | |
dspace.entity.type | Publication |
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