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

dc.contributor.authorMateos-Angulo, Alvaro
dc.contributor.authorGalán-Mercant, Alejandro
dc.contributor.authorCuesta-Vargas, Antonio Ignacio
dc.date.accessioned2024-02-12T19:46:45Z
dc.date.available2024-02-12T19:46:45Z
dc.date.issued2020-07-21
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.format.page57-65es_ES
dc.format.volume73es_ES
dc.identifier.doi10.2478/hukin-2019-0131
dc.identifier.issn1640-5544
dc.identifier.journalJournal of human kineticses_ES
dc.identifier.otherhttp://hdl.handle.net/10668/16077
dc.identifier.pubmedID32774537es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/18079
dc.language.isoeng
dc.rights.accessRightsopen accesses_ES
dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectAcceleration
dc.subjectBiomechanics
dc.subjectPhysical performance
dc.subjectPlyometric training
dc.titleKinematic Mobile Drop Jump Analysis at Different Heights Based on a Smartphone Inertial Sensor.
dc.typeresearch article
dc.type.hasVersionVoR
dspace.entity.typePublication

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