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Software platform for gait evaluation using MATLAB and off-the-shelf MEMS sensors
KTH, School of Technology and Health (STH), Medical Engineering.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Mjukvaruplattform för gånganalys med Matlab och kommersiella MEMS-sensorer (Swedish)
Abstract [en]

This thesis presents a real time software program written in MATLAB using off-the-self MEMS sensors from Shimmer-Research®. Parallel to the software development, a proof of concept was conducted using the produced program to quantify stride length, stride length variance and stride time for patients diagnosed with Parkinson's disease. Results from testing showed that the system measured the mean stride length error to 2.4% of stride length and a standard deviation of 13.7% of stride length. Results from testing further showed a stride time error of 2.70% of individual stride times with a standard deviation of 1.89%. The system shows promise as a pedagogical, gait analysis training tool for physiotherapists as well as in academic teaching. The system is flexible and data processing functions can be readily re-programmed with other or additional processing features while maintaining user feedback, storage and plotting functionalities implemented in the current version of the program. 

Place, publisher, year, edition, pages
2013. , 89 p.
TRITA-STH, 2013:100
Keyword [en]
MEMS Gait Parkinsson Matlab Biomechanics Stride
National Category
Medical Laboratory and Measurements Technologies Other Clinical Medicine
URN: urn:nbn:se:kth:diva-127545OAI: diva2:644642
Subject / course
Medical Engineering
Educational program
Master of Science in Engineering - Medical Engineering
2013-06-17, Alfred Nobels Allé 10, Flemingsberg, 12:30 (English)
Available from: 2016-09-09 Created: 2013-09-01 Last updated: 2016-09-09Bibliographically approved

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