Publication:
Kinematic Mobile Drop Jump Analysis at Different Heights Based on a Smartphone Inertial Sensor.

dc.contributor.authorMateos-Angulo, Alvaro
dc.contributor.authorGalan-Mercant, Alejandro
dc.contributor.authorCuesta-Vargas, Antonio Ignacio
dc.date.accessioned2023-02-09T09:38:17Z
dc.date.available2023-02-09T09:38:17Z
dc.date.issued2020-07
dc.description.abstractThe 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.versionSi
dc.identifier.citationMateos-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.doi10.2478/hukin-2019-0131
dc.identifier.issn1640-5544
dc.identifier.pmcPMC7386144
dc.identifier.pmid32774537
dc.identifier.pubmedURLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386144/pdf
dc.identifier.unpaywallURLhttps://www.sciendo.com/pdf/10.2478/hukin-2019-0131
dc.identifier.urihttp://hdl.handle.net/10668/16077
dc.journal.titleJournal of human kinetics
dc.journal.titleabbreviationJ Hum Kinet
dc.language.isoen
dc.organizationHospital Universitario Puerta del Mar
dc.organizationInstituto de Investigación e Innovación en Ciencias Biomédicas
dc.organizationInstituto de Investigación Biomédica de Málaga-IBIMA
dc.page.number57-65
dc.provenanceRealizada la curación de contenido 26/08/2024
dc.publisherAcademy of Physical Education in Katowice
dc.pubmedtypeJournal Article
dc.relation.publisherversionhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386144/pdf/hukin-73-057.pdf
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAcceleration
dc.subjectBiomechanics
dc.subjectPhysical performance
dc.subjectPlyometric training
dc.subject.decsAdulto joven
dc.subject.decsAnálisis de regresión
dc.subject.decsEstudios transversales
dc.subject.decsFenómenos biomecánicos
dc.subject.decsTeléfono inteligente
dc.subject.meshHumans
dc.subject.meshCross-sectional studies
dc.subject.meshBiomechanical phenomena
dc.subject.meshSmartphone
dc.subject.meshRegression analysis
dc.subject.meshYoung adult
dc.titleKinematic Mobile Drop Jump Analysis at Different Heights Based on a Smartphone Inertial Sensor.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number73
dspace.entity.typePublication

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