Mobile Plyometric Assessment (mPlyometrics)
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Abstract
Background. The objectives of this study was: firstly, identify the kinematic description from a cohort of young healthy people who developed the plyometric Drop Jump test using the inertial sensor mounted in the iPhone 4. Secondly, was to locate the relationship between kinematic variables, contact mat variables related to the contact time, time and fly height in the Drop Jump test, and isotonic strength.
Methods. A cross-sectional study on a world population of young healthy people (23.08 ± 3.48 years) who developed the plyometric Drop Jump test. In this study were measured variables related to anthropometric characteristics, kinematic variables (accelerometry, angular velocity and displacement), jumping contact mat variables (contact time, time and fly height) and isotonic strength in the lower limbs. The analysis was done with Pearson's linear correlation with 95% Zr.
Results The correlation indexes founded, related: Maximum rate rotation in the y axis and height (r= -0.734; p=0.007), maximum rate rotation in the y axis and jump contact time (r= 0.616; p=0.033), maximum rate rotation in the z axis and jump contact time (r= -0.706; p=0.01), minimum acceleration in the x axis and weight (r = -0.662; p=0.019), minimum acceleration in the y axis and height (r = -0.615; p=0.033), maximum acceleration in the y and jump contact time (r = 0.686; p=0.014), minimum acceleration in the y axis and right dynamometry (r = -0,700; p = 0,011), minimum acceleration in the y axis and left dynamometry (r = -0,697; p = 0,012), maximum acceleration in the resultant vector and fly jump height (r = 0,683; p = 0,14), maximum acceleration in the resultant vector and jump contact time (r = 0,714; p = 0,009).
Conclusions. The descriptive statistics obtained from the inertial sensor mounted in the iPhone 4, identify and determine a kinematic profile from young healthy people in the plyometric Drop Jump test. From the data in this study, we determined a significant quantitative relationship between kinematic variables and jumping contact mat or isotonic strength. The inertial sensor fitted in the iPhone4 is able to study and analyze the kinematics of the Drop Jump test in Young healthy people. This contribution can be used to develop classification algorithms with the help of software designed for smartphones, thus allowing their application in clinical practice or sports science environments.
Methods. A cross-sectional study on a world population of young healthy people (23.08 ± 3.48 years) who developed the plyometric Drop Jump test. In this study were measured variables related to anthropometric characteristics, kinematic variables (accelerometry, angular velocity and displacement), jumping contact mat variables (contact time, time and fly height) and isotonic strength in the lower limbs. The analysis was done with Pearson's linear correlation with 95% Zr.
Results The correlation indexes founded, related: Maximum rate rotation in the y axis and height (r= -0.734; p=0.007), maximum rate rotation in the y axis and jump contact time (r= 0.616; p=0.033), maximum rate rotation in the z axis and jump contact time (r= -0.706; p=0.01), minimum acceleration in the x axis and weight (r = -0.662; p=0.019), minimum acceleration in the y axis and height (r = -0.615; p=0.033), maximum acceleration in the y and jump contact time (r = 0.686; p=0.014), minimum acceleration in the y axis and right dynamometry (r = -0,700; p = 0,011), minimum acceleration in the y axis and left dynamometry (r = -0,697; p = 0,012), maximum acceleration in the resultant vector and fly jump height (r = 0,683; p = 0,14), maximum acceleration in the resultant vector and jump contact time (r = 0,714; p = 0,009).
Conclusions. The descriptive statistics obtained from the inertial sensor mounted in the iPhone 4, identify and determine a kinematic profile from young healthy people in the plyometric Drop Jump test. From the data in this study, we determined a significant quantitative relationship between kinematic variables and jumping contact mat or isotonic strength. The inertial sensor fitted in the iPhone4 is able to study and analyze the kinematics of the Drop Jump test in Young healthy people. This contribution can be used to develop classification algorithms with the help of software designed for smartphones, thus allowing their application in clinical practice or sports science environments.
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