Paper Info
Title
Position-Velocity Categorization of Time-Frequency Coherence for the Analysis of Muscle Coordination Dynamics of Elbow Joint During Low Force Movements in Healthy Children
Abstract
In this study we used a method based on joint position and velocity categorization of time frequency coherence calculated using the pseudo smoothed Wigner-Ville distribution (PSWVD). PSWVD is applied to one experimental data set of sEMG signals during voluntary isotonic elbow movements in healthy children. Nine healthy children (age range 6-13 years old) were assessed. Time-frequency coherence of each muscle were divided into ten joint angle categories (0°-130°) and five joint angular velocity categories (0°/s to 1097°/s) based on elbow kinematic data. Effects of load configurations, elbow position, elbow velocity and muscle pairs were analyzed by ANOVA tests. Findings suggest the existence of a common muscle coordination dynamics between antagonistic muscles of elbow joint which may be helpful to understand neuromusculoskeletal deficits and to evaluate and to design interventions for neuromusculoskeletal diseases.
Year
DOI
Venue
2018
10.1109/ICEEE.2018.8533977
2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)
Keywords
Field
DocType
time-frequency coherence,surface electromyography,elbow joint,Wigner-Ville distribution,children
Categorization,Elbow,Kinematics,Angular velocity,Control theory,Electromyography,Coherence (physics),Time–frequency analysis,Physical medicine and rehabilitation,Motor coordination,Mathematics
Conference
ISBN
Citations 
PageRank 
978-1-5386-7034-7
0
0.34
References 
Authors
0
7
Name
Order
Citations
PageRank
Alberto Isaac Pérez-SanPablo100.34
Elisa Romero Avila200.34
Alicia Meneses Penaloza300.34
Catherine Disselhorst-Klug482.62
Sebastian Becker500.68
Juan Manuel Ibarra Zannatha611.40
Josefina Gutiérrez Martínez702.03