Postural adaptation.
Conditions
Interventions
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: Healthy people Age 18-40 No history of sever neurologic or musculoskeletal disorders based on the participant's clam Not having cognitive disorder (Mini-Mental State Exam (MMSE) =24) No wound or scratch on the scalp No sensory disorder No metal or implant in head No skin infection No pacemaker No history of epilepsy
Exclusion criteria
Exclusion criteria: Taking any medication that influence balance, neural system or brain. Heavy bodily exertion before experiment Not willing to continue the study
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Standard Deviation of Center of Pressure Displacement: This parameter comes from the second root of the sum of the square of the distance of each center of pressure from the average center of pressure divided by the number of the center of pressure in the anterior-posterior and lateral axis. The scale is in millimeter. Timepoint: Before and after the intervention. Method of measurement: Force Plate.;Range of Center of Pressure Displacement: The difference between the maximum and minimum center of pressure displacement in the anterior-posterior and lateral axis. The scale is in millimeters. Timepoint: Before and after the intervention. Method of measurement: Force Plate.;Path Length of Center of Pressure Displacement: This parameter comes from the summation of the distance of every center of pressure point from the consecutive point in the anterior-posterior and lateral axis. The scale is in millimeters. Timepoint: Before and after the intervention. Method of measurement: Force Plate.;Lyapunov Exponent: Lyapunov Exponent is used to define the system chaos. When consecutive points diverge (divergence) the system will become chaotic, which can be quantified by Lyapunov Exponent. Timepoint: Before and after the intervention. Method of measurement: To calculate, the Rosenstein algorithm will be used in Chaos Data Analyzer Software.;Approximate Entropy: Approximate Entropy is a scale for showing the complexity, regularity, and predictability of the center of pressure time series. In another word, Entropy gives a probability of the existence of a repeatable pattern with the length of m, the similarity of r, and delay of T. Timepoint: Before and after the intervention. Method of measurement: To calculate, the Pincus algorithm will be used in Matlab Software.;Correlation Dimension: Correlation Dimension is a scale that shows degrees of freedom or the dimensions of the time series of the center of pressure. Timepoint: Before and after the intervention. Method of measurement: | — |
Countries
Iran (Islamic Republic of)
Contacts
Tehran University of Medical Sciences