Distinguishing Parkinson's disease from other syndromes causing tremor using automatic analysis of writing and drawing tasks
| Autor: | Rutger C. Zietsma, Antti Tolonen, Esther J. Smits, Natasha M. Maurits, Mark van Gils, Luc Cluitmans |
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| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
medicine.medical_specialty
Parkinson's disease Movement disorders Essential tremor business.industry Speech recognition medicine.disease Motor symptoms nervous system diseases Physical medicine and rehabilitation Drawing Tasks medicine Enhanced physiological tremor medicine.symptom business Fine motor |
| Zdroj: | Tolonen, A, Cluitmans, L, Smits, E, van Gils, M, Maurits, N & Zietsma, R 2015, Distinguishing Parkinson's disease from other syndromes causing tremor using automatic analysis of writing and drawing tasks . in Bioinformatics and Bioengineering (BIBE), 2015 IEEE 15th International Conference on . IEEE Institute of Electrical and Electronic Engineers, pp. 1-4, 15th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2015, Belgrade, Serbia, 2/11/15 . https://doi.org/10.1109/BIBE.2015.7367690 BIBE |
| DOI: | 10.1109/BIBE.2015.7367690 |
| Popis: | An easily performed and objective test of patients fine motor skills would be valuable in the diagnosis of Parkinson's disease (PD). In this study we present a set of automatic methods for quantifying the motor symptoms of PD and show that these automatically extracted features can be used to distinguish PD from other movement disorders causing tremor, namely essential tremor (ET), functional tremor (FT) and enhanced physiological tremor (EPT). The classification accuracies (mean of sensitivity and specificity) for separating PD from the other tremor syndromes were 82.0 % for ET, 69.8 % for FT and 72.2 % for EPT. |
| Databáze: | OpenAIRE |
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