Measuring motor signs of neurodegenerative diseases using accelerometery

Urban Kocmut (2018) Measuring motor signs of neurodegenerative diseases using accelerometery. EngD thesis.

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Abstract

Neurologists currently measure and count tremors of patients, by observing them in different positions. They usually observe the patients arms. They do not have a device which would allow them to measure tremors of patients, would visualize tremors and would process the measured data for easier analysis. The developed mobile application solves these problems. It uses a gyroscope and an accelerometer to measure tremors. The measured data is saved and visualised. The application allows neurologists to get accurate data about the state of their patients, compare measured data with previous measurements and so it also allows to track the progress of a patients disease. The application is simple to use and accessible to people with bad vision and bad finger control.

Item Type:

Thesis (EngD thesis)

Keywords:

android, smartphone, parkinson, sensors, accelerometer, gyroscope.

Number of Pages:

Language of Content:

Slovenian

Mentor / Comentors:

Name and Surname	ID	Function
doc. dr. Aleksander Sadikov	934	Mentor

Link to COBISS:

http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1537963715)

Institution:

University of Ljubljana

Department:

Faculty of Computer and Information Science

Item ID:

4289

Date Deposited:

08 Oct 2018 17:21

Last Modified:

10 Oct 2018 08:57

URI:

http://eprints.fri.uni-lj.si/id/eprint/4289

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