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Automatic assessment of the motor state of the Parkinson's disease patient--a case study.

Kostek B, Kaszuba K, Zwan P, Robowski P, Slawek J - Diagn Pathol (2012)

Bottom Line: The research was carried out to investigate whether the advancement of the Parkinson's Disease can be automatically assessed.For this purpose, past and current UPDRS data from 47 subjects were examined.The results show that, among other classifiers, the rough set-based decision algorithm turned out to be most suitable for such automatic assessment.

View Article: PubMed Central - HTML - PubMed

Affiliation: Multimedia Systems Department, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Gdansk, Poland. bozenka@sound.eti.pg.gda.pl

ABSTRACT

Unlabelled: This paper presents a novel methodology in which the Unified Parkinson's Disease Rating Scale (UPDRS) data processed with a rule-based decision algorithm is used to predict the state of the Parkinson's Disease patients. The research was carried out to investigate whether the advancement of the Parkinson's Disease can be automatically assessed. For this purpose, past and current UPDRS data from 47 subjects were examined. The results show that, among other classifiers, the rough set-based decision algorithm turned out to be most suitable for such automatic assessment.

Virtual slides: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1563339375633634.

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Related in: MedlinePlus

An example of a report generated by the computer application prepared for this study.
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Figure 4: An example of a report generated by the computer application prepared for this study.

Mentions: and also in a report from the computer application (see Figure 4).


Automatic assessment of the motor state of the Parkinson's disease patient--a case study.

Kostek B, Kaszuba K, Zwan P, Robowski P, Slawek J - Diagn Pathol (2012)

An example of a report generated by the computer application prepared for this study.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3313854&req=5

Figure 4: An example of a report generated by the computer application prepared for this study.
Mentions: and also in a report from the computer application (see Figure 4).

Bottom Line: The research was carried out to investigate whether the advancement of the Parkinson's Disease can be automatically assessed.For this purpose, past and current UPDRS data from 47 subjects were examined.The results show that, among other classifiers, the rough set-based decision algorithm turned out to be most suitable for such automatic assessment.

View Article: PubMed Central - HTML - PubMed

Affiliation: Multimedia Systems Department, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Gdansk, Poland. bozenka@sound.eti.pg.gda.pl

ABSTRACT

Unlabelled: This paper presents a novel methodology in which the Unified Parkinson's Disease Rating Scale (UPDRS) data processed with a rule-based decision algorithm is used to predict the state of the Parkinson's Disease patients. The research was carried out to investigate whether the advancement of the Parkinson's Disease can be automatically assessed. For this purpose, past and current UPDRS data from 47 subjects were examined. The results show that, among other classifiers, the rough set-based decision algorithm turned out to be most suitable for such automatic assessment.

Virtual slides: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1563339375633634.

Show MeSH
Related in: MedlinePlus