Abstract
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.
Original language | English |
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Title of host publication | Bioinformatics and Bioengineering (BIBE), 2015 IEEE 15th International Conference on |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
Pages | 1-4 |
ISBN (Electronic) | 978-1-4673-7983-0, 978-1-4673-7982-3 |
ISBN (Print) | 978-1-4673-7984-7 |
DOIs | |
Publication status | Published - 2015 |
MoE publication type | A4 Article in a conference publication |
Event | 15th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2015 - Belgrade, Serbia Duration: 2 Nov 2015 → 4 Nov 2015 Conference number: 15 |
Conference
Conference | 15th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2015 |
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Abbreviated title | BIBE 2015 |
Country/Territory | Serbia |
City | Belgrade |
Period | 2/11/15 → 4/11/15 |