Change search
ReferencesLink to record
Permanent link

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

Open Access in DiVA

Oscar Svantesson Examensarbete(143 kB)1 downloads
File information
File name FULLTEXT01.pdfFile size 143 kBChecksum SHA-512
de0c60d77ad9c0b7255e017d5f062ae402536520e45c9f1b36408e1b0839deeca9e6d93dcdfc4dd22f3247ae891645adff3cadeac3d367bda02e66d4c156f64f
Type fulltextMimetype application/pdf

By organisation
Medical Engineering
Medical Laboratory and Measurements TechnologiesOther Clinical Medicine

Search outside of DiVA

GoogleGoogle Scholar
Total: 1 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 6 hits
ReferencesLink to record
Permanent link

Direct link