Qualification of movement patterns on a continuous scale

Author

Jobbágy, Á ; Fogarasi, F. ; Furnée, E.H. ; Harcos, P. ; Romhányi, B. ; Thomas, J. ; Soós, G.

Author_Institution

Dept. of Meas. & Instrum. Eng., Tech. Univ. Budapest, Hungary

Volume

1

fYear

1999

fDate

1999

Abstract

Neurologists defined movement patterns to aid the diagnosis of different diseases, especially Parkinson´s disease. Subtle changes should be detected in the movement patterns of persons to aid the early diagnosis and to qualify the efficiency of medication. Human visual analysis is unable to detect subtle changes in the performance of a person. We have been using image-based motion analyzers to record the movement patterns. The applied signal processing evaluates the symmetry, periodicity and-if applicable-also the frequency and amplitude of the movements

Keywords

biomechanics; diseases; medical image processing; motion estimation; neurophysiology; singular value decomposition; 2D analyser; Parkinson´s disease diagnosis; SVD method; amplitude; applied signal processing; binary qualification; circling; continuous scale; frequency; image-based motion analyzers; movement patterns qualification; periodicity; pinching; symmetry; tapping; twiddling; Biomedical imaging; Humans; Image analysis; Image motion analysis; Medical diagnostic imaging; Motion analysis; Parkinson´s disease; Pattern analysis; Performance analysis; Qualifications;

fLanguage

English

Publisher

ieee

Conference_Titel

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint

Conference_Location

Atlanta, GA

ISSN

1094-687X

Print_ISBN

0-7803-5674-8

Type

conf

DOI

10.1109/IEMBS.1999.802603

Filename

802603