Analysis of gait pattern between genders in Korean old people and the effect of dimensionless numbers
| Autor: | Hyeong-Soo Kim, Hyun-Seob Lee |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
030506 rehabilitation
Spatio-temporal variables Coefficient of variation Reference data (financial markets) Physical Therapy Sports Therapy and Rehabilitation 030229 sport sciences Dimensionless numbers Degree (temperature) 03 medical and health sciences 0302 clinical medicine Gait (human) Old people Statistics Orthopedics and Sports Medicine Original Article Gait pattern 0305 other medical science Cadence Gait Statistical hypothesis testing Mathematics Dimensionless quantity |
| Zdroj: | Journal of Exercise Rehabilitation |
| ISSN: | 2288-1778 2288-176X |
| Popis: | The purpose of this study was to comparatively analyze normal gait on the plains by gender for old people reference data for the normal gait pattern for the old people. Participants were selected according to the Korean standard body type provided by the Ministry of Health and Welfare and used a three-dimensional motion analysis system. Cortex, Orthotrak, and Excel were used as the software for analyzing the extracted data, and IBM SPSS Statistics ver. 24.0 was used for statistical analysis. When data standardization was performed using the dimensionless numbers conversion, the step length and stride length of the lower extremities, which had differences between genders before dimensionless numbers conversion, showed no difference after dimensionless numbers conversion. Cadence, step time, and single support time of the left lower extremity, which had no difference between genders before dimensionless numbers conversion, were found to have significant differences after dimensionless numbers conversion. In addition, as a result of analyzing the coefficient of variation value to find out the degree of change in data due to dimensionless numbers conversion, there were increase and decrease in the coefficient of variation value ranging from -8.11% to 6.67% before and after dimensionless numbers conversion, which means dimensionless numbers conversion can affect the statistical test. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|