@misc{10498/23973,
year = {2020},
month = {7},
url = {http://hdl.handle.net/10498/23973},
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 (R) 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 (R) 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.},
publisher = {SCIENDO},
keywords = {acceleration},
keywords = {biomechanics},
keywords = {physical performance},
keywords = {plyometric training},
title = {Kinematic Mobile Drop Jump Analysis at Different Heights Based on a Smartphone Inertial Sensor},
doi = {10.2478/hukin-2019-0131},
author = {Mateos Angulo, Álvaro and Galán Mercant, Alejandro and Cuesta Vargas, Antonio Ignacio},
}