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基于智能手机惯性传感器的不同高度动态移动下落跳跃分析

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

作者信息

Mateos-Angulo Alvaro, Galán-Mercant Alejandro, Cuesta-Vargas Antonio Ignacio

机构信息

Departamento de Fisioterapia, Universidad de Málaga, IBIMA, Málaga, Spain.

MOVE-IT Research Group and Department of Physical Education. Departament of Nursing and Physiotherapy. Cádiz University, Cádiz, Spain.

出版信息

J Hum Kinet. 2020 Jul 21;73:57-65. doi: 10.2478/hukin-2019-0131. eCollection 2020 Jul.

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.

摘要

本研究的目的是描述在使用内置在iPhone 4S®智能手机中的惯性传感器进行的增强式跳跃测试中的加速度变量,以及来自接触垫的跳跃变量。进行了一项横断面研究,涉及16名健康的年轻成年人。在从60厘米和30厘米处进行的纵跳测试中测量了线性加速度、飞行时间、接触时间和跳跃高度。在从60厘米处进行的纵跳测试中发现了更大的加速度值;接触垫的值也观察到了同样的情况。对每个纵跳测试进行了多元回归分析:跳跃高度用作因变量,最相关的变量用作预测变量(在分析从60厘米处的纵跳时,体重和Y轴上的最大角速度,以及在分析从30厘米处的纵跳时,体重和Z轴上的最大加速度)。我们发现从60厘米处进行的纵跳测试(R2 = 0.515,p < 0.001)和从30厘米处进行的测试(R2 = 0.460,p < 0.01)有显著的回归模型。根据本研究获得的结果,内置的iPhone 4S®惯性传感器能够测量健康年轻成年人进行垂直纵跳测试时的加速度。从60厘米处进行的纵跳测试中的加速度运动学变量高于从30厘米处进行的测试。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a613/7386144/db1ecfa924ae/hukin-73-057-g001.jpg

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