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UPDRS tests for diagnosis of Parkinson's disease employing virtual-touchpad

Abstract

This paper presents a new approach to diagnosing Parkinson's disease. The progression of the disease can be measured by the UPDRS (Unified Parkinson Disease Rating Scale) scale which is used to evaluate motor and behavioral symptoms of Parkinson's disease. Hitherto the evaluation of the advancement of the disease in the UPDRS scale was made by a specialist through medical observation. The authors suggest a partial automation of this process, i.e. using a multimodal interface called Virtual-Touchpad (VTP) may support the medical diagnosis. VTP is based on processing the image of hand acquired by a camera. Therefore, a patient is not constrained by any equipment. Two types of UPDRS tests that can be supported by VTP are presented in the paper. In the Finger Taps test the patient taps thumb with index finger in rapid succession. The Rapid Alternating Movement of Hands test consists in pronation-supination movements of hands. VTP captures the image of the patient's hand while performing the test and, based on this image, it assigns hand gesture to the given class. The hand movement velocity is measured and used in the diagnostic process.

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Details

Category:
Conference activity
Type:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Title of issue:
Proceedings of DEXA 2010, 21th International Workshop on Database and Expert Systems Applications, 30 August-3 September 2010 Bilbao, Spain strony 132 - 136
Language:
English
Publication year:
2010
Bibliographic description:
Kupryjanow A., Kunka B., Kostek B.: UPDRS tests for diagnosis of Parkinson's disease employing virtual-touchpad// Proceedings of DEXA 2010, 21th International Workshop on Database and Expert Systems Applications, 30 August-3 September 2010 Bilbao, Spain/ ed. eds. A.M. Tjoa, R.R. Wagner. USA: The Institute of Electrical and Electronics Engineers, Inc., 2010, s.132-136
DOI:
Digital Object Identifier (open in new tab) 10.1109/dexa.2010.87
Verified by:
Gdańsk University of Technology

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