By Topic

Analysis of movement patterns aids the early detection of Parkinson's disease

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
A. Jobbagy ; Dept. of Meas. & Instrum. Eng., Tech. Univ. Budapest, Hungary ; H. Furnee ; P. Harcos ; M. Tarczy
more authors

The movement patterns are characteristic for a person. The changes in his/her movement patterns indicate changes in his/her state. Several diseases result in well distinguishable deviation from normal movement patterns. The deviation starts with subtle changes; our aim is to detect these changes and thus aid the early diagnosis of neurological diseases. We have been using a passive marker based motion analyzer (PRIMAS) to record the movement patterns defined by neurologists. Healthy subjects and Parkinsonian patients participated is the tests. We suggest a measurement set-up and evaluation algorithms that fit to the movement patterns to be analyzed

Published in:

Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE  (Volume:4 )

Date of Conference:

30 Oct-2 Nov 1997