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Research Article

Mobile gait analysis via eSHOEs instrumented shoe insoles: a pilot study for validation against the gold standard GAITRite®

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Pages 375-386 | Received 25 Aug 2016, Accepted 09 Apr 2017, Published online: 02 Jun 2017
 

Abstract

Clinical gait analysis contributes massively to rehabilitation support and improvement of in-patient care. The research project eSHOE aspires to be a useful addition to the rich variety of gait analysis systems. It was designed to fill the gap of affordable, reasonably accurate and highly mobile measurement devices. With the overall goal of enabling individual home-based monitoring and training for people suffering from chronic diseases, affecting the locomotor system. Motion and pressure sensors gather movement data directly on the (users) feet, store them locally and/or transmit them wirelessly to a PC. A combination of pattern recognition and feature extraction algorithms translates the motion data into standard gait parameters. Accuracy of eSHOE were evaluated against the reference system GAITRite in a clinical pilot study. Eleven hip fracture patients (78.4 ± 7.7 years) and twelve healthy subjects (40.8 ± 9.1 years) were included in these trials. All subjects performed three measurements at a comfortable walking speed over 8 m, including the 6-m long GAITRite mat. Six standard gait parameters were extracted from a total of 347 gait cycles. Agreement was analysed via scatterplots, histograms and Bland–Altman plots. In the patient group, the average differences between eSHOE and GAITRite range from −0.046 to 0.045 s and in the healthy group from −0.029 to 0.029 s. Therefore, it can be concluded that eSHOE delivers adequately accurate results. Especially with the prospect as an at home supplement or follow-up to clinical gait analysis and compared to other state of the art wearable motion analysis systems.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

The eSHOE research project was funded partially by the Municipality of Schwechat and the Austrian Research Promotion Agency (Österreichische Forschungsförderungsgesellschaft, FFG) within the “benefit” funding programme (project name “VITALIshoe”, project number 820995).

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