Gait assessment with non-linear time series analysis of convalescence cerebrovascular attack patients

Abstract

The purpose of the study to clarify the features of walking of CVA (Cerebrovascular attack) patients as Lyapunov exponent estimation, a method of nonlinear time series analysis, was applied to quantify the gait function and Barthel Index (BI) during walking as measured by accelerations and clarify the usefulness of the Lyapunov exponent. The study subjects were 24 CVA patients. Accelerations were measured maximal walking a three-axial accelerometer mounted on the third lumber spinous process in the vicinity. By calculating the gait index from the date of one gait cycle, we investigated the relationship between the gait function and BI features. Lyapunov exponentofthefull mark group tended to be higher the label of anterior-posterior suggesting higher the label of vertebral as compared to the non-full mark group. Step was significantly correlated with the labile of vertebral CVA patients. The results suggest that gait analysis using Lyapunov exponent, is one way to measure the labile, estimation of walking might be useful to assess locomotive ability.