Development of a Software Package to Assess and Analyze Gait Data Gathered by the Eshoe System

Abstract

This master thesis dealt with the development of a software package for the mobile motion analysis system eSHOE. The aim of the thesis was to find an efficient way to record and analyze motion data. The mobile motion analysis system eSHOE was developed for the assessment of gait parameters in ambient assisted living settings, applications for rehabilitation as well as physical training and activity monitoring by the Austrian research institute CEIT Raltec. As part of a clinical pilot study including hip fracture patients, who experienced a fall (n=10) and a control group of healthy subjects (n=10), the software package was tested in terms of efficiency, validity and accuracy. Preliminary results show that the developed software packages are applicable on the eSHOE system. Feature extraction algorithms showed good results in detecting the respective gait events.