Aim: Development and evaluation of a new method based on theory of statistical entropy. The new method is going to permit an objective and quantitative evaluation of the gait characteristics in healthy male soccer athletes in correlation with their body features. It will also permit an objective and quantitative evaluation of the gait variability of patients with acute and isolated Anterior Cruciate Ligament (ACL) rupture and will be useful for the evaluation of responses to surgical treatment in these subjects. Methods: Prior to gait measurement, there was a history complementation form and a clinical evaluation form to be filled. A tri-axial accelerometer sensor was used for the gait measurement and entropy algorithm was used for accelero...
This aim of this study was to analyse the nature of movement variability and to assess whether entro...
The objective of this study was to compare subjects who sustained an ACL injury during soccer 16 yea...
Sample entropy (SE) has relative consistency using biologically-derived, discrete data >500 data ...
Aim: Development and evaluation of a new method based on theory of statistical entropy. The new meth...
The use of inertial sensors to characterize pathological gait has traditionally been based on the ca...
Anterior cruciate ligament (ACL) injury of the knee is common in sports. A serious ACL injury leads ...
This study aimed to quantify changes in gait parameters and their symmetries among athletes with ant...
The aim of this study was to explore the issue of motor skills characterisation, by assessing the re...
The aim of this study was to explore the issue of motor skills characterisation, by assessing the re...
Knee joint is one of the important determinants that determine gait pattern. There are few studies o...
This study aimed to objectively evaluate changes in gait kinematics, kinetics and symmetry among ant...
Background: In athletes with anterior cruciate ligament (ACL) deficiencies could assess functional c...
Altered gait patterns may persist for months or even years in patients after anterior cruciate ligam...
Objective. The evaluation of variability of biological rhythmic activities through measures such as ...
Anterior cruciate ligament (ACL) injuries are relatively common in young athletes and quite often re...
This aim of this study was to analyse the nature of movement variability and to assess whether entro...
The objective of this study was to compare subjects who sustained an ACL injury during soccer 16 yea...
Sample entropy (SE) has relative consistency using biologically-derived, discrete data >500 data ...
Aim: Development and evaluation of a new method based on theory of statistical entropy. The new meth...
The use of inertial sensors to characterize pathological gait has traditionally been based on the ca...
Anterior cruciate ligament (ACL) injury of the knee is common in sports. A serious ACL injury leads ...
This study aimed to quantify changes in gait parameters and their symmetries among athletes with ant...
The aim of this study was to explore the issue of motor skills characterisation, by assessing the re...
The aim of this study was to explore the issue of motor skills characterisation, by assessing the re...
Knee joint is one of the important determinants that determine gait pattern. There are few studies o...
This study aimed to objectively evaluate changes in gait kinematics, kinetics and symmetry among ant...
Background: In athletes with anterior cruciate ligament (ACL) deficiencies could assess functional c...
Altered gait patterns may persist for months or even years in patients after anterior cruciate ligam...
Objective. The evaluation of variability of biological rhythmic activities through measures such as ...
Anterior cruciate ligament (ACL) injuries are relatively common in young athletes and quite often re...
This aim of this study was to analyse the nature of movement variability and to assess whether entro...
The objective of this study was to compare subjects who sustained an ACL injury during soccer 16 yea...
Sample entropy (SE) has relative consistency using biologically-derived, discrete data >500 data ...