Early detection of Parkinson's disease based on movement pattern evaluation
Link to PARMA proposal

The analysed movement patterns:

• tapping,
• twiddling,
• pinching and circling.

The analysed persons:

• healthy young persons,
• healthy senior persons,
• Parkinsonian patients.

Publications on the research work:

Jobbágy Á, Harcos P, Fazekas G: Clinical Application of a Moveme nt Analyzer. IFMBE Proceedings, Vol. 14. Seoul: IFMBE, 2006. ISSN 1727-1983. ISBN 3-540-36839-6. (Proceedings of the World Congress on Medical Physics and Biomedical Engineering – WC2006. Seoul, Korea, August 27 - Sept. 1., 2006.). pp. 2758-2762.

Jobbágy Á, Harcos P, JKaroly R, Fazekas G: Analysis of the Finger-Tapping Test. Journal of Neuroscience Methods, January 30, 2005. Vol 141/1 pp 29-39.

Á. Jobbágy,  G. Fazekas, R. Károly: Resolution and repeatability of tapping test. IFMBE Proceedings
of the 2nd European Medical and Biological Engineering Conference. 4 - 8 December, 2002, Vienna, Austria
pp. 1710 - 1711.

Jobbágy, Á., E.H. Furnée, P. Harcos, M. Tárczy: Early Detection of Parkinson’s Disease through
Automatic Movement Evaluation. IEEE Engineering in Medicine and Biology Magazine, Vol. 17. No. 2.
March/April 1998. pp. 81-88.

Ákos Jobbágy, E.Hans Furnée, Balázs Romhányi, László Gyöngy, Gábor Soós: Resolution and Accuracy of
Passive Marker-based Motion Analysis. 8th International IMEKO TC-13 Conference on Measurement in
Clinical Medicine, 16 - 19 September, 1998, Dubrovnik, Croatia, pp. 2.3. - 2.6.

Jobbágy, Á., E.H. Furnée, P. Harcos, M. Tárczy, I. Krekule and L. Komjáthi: Analysis of Movement
Patterns Aids the Early Detection of Parkinson’s Disease. 19th Annual International Conference of the
           IEEE Engineering in Medicine and Biology Society, 30 October - 2 November, 1997, Chicago, IL. USA,
pp. 1760-1763. the proccedings on CD-ROM.

Jobbágy, Á., L. Gyöngy, E.H. Furnée: Biomedical Applications of a High-Precision Passive Marker
Based Motion Analyser. The 10th Nordic-Baltic Conference on Biomedical Engineering, June 9-13, 1996.
            Tampere, Finland. Proceedings in: Medical & Biological Engineering & Computing (UK), Vol. 34,
Supplement 1, Part 1, pp. 331-332.

Jobbágy, Á., P. Harcos and M. Tárczy: Measurement Environment for Diagnosing the Parkinson’s
Disease. 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society,
            31 October - 3 November, Amsterdam, The Netherlands. Paper no. 2.6.3., the proceedings on CD-ROM.

Detailed description is given in the following files (use Ghostview):
Title page
Marker-based motion analysis (introduction)
Analysis of long-term movement patterns of small animals
Analysis of movement patterns to aid the early detection of Parkinson's disease
Processing of position-time functions of markers
Solutions to problems raised in the previous chapter
References
MATLAB m-files that process the data files (*.pri files below):  correct.m, sorttap.m,sorttwi.m,
tapdomfr.m,tapfran.m,twidomf.m

Video clips and the related marker position data files:
Healthy young person performing tapping test.       QuickTime format MPEG-I format hytap.pri

Healthy young person performing twiddling test.    QuickTime format MPEG-I format hytwi.pri

Healthy senior person performing tapping test.       QuickTime format MPEG-I format hstap.pri

Healthy senior person performing twiddling test.    QuickTime format MPEG-I format hstwi.pri

Parkinsonian patient performing tapping test.          QuickTime format MPEG-I format patap.pri

Parkinsonian patient performing twiddling test.       QuickTime format MPEG-I format patwi.pri