Predictors of Step Length from Surface Electromyography and Body Impedance Analysis Parameters.

ABSTRACT: Step length is a critical hallmark of health status. However, few studies have investigated the modifiable factors that may affect step length. An exploratory, cross-sectional study was performed to evaluate the surface electromyography (sEMG) and body impedance analysis (BIA) parameters, combined with individual demographic data, to predict the individual step length using the GAITRite^® system. Healthy participants aged 40-80 years were prospectively recruited, and three models were built to predict individual step length. The first model was the best-fit model (R² = 0.244, p < 0.001); the root mean square (RMS) values at maximal knee flexion and height were included as significant variables. The second model used all candidate variables, except sEMG variab

SUBMITTER: Park JW 

PROVIDER: S-EPMC9371228 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature