DocumentCode :
260162
Title :
Analysis of non-invasive writing signals, applied to Essential Tremor: A nonlinear approach
Author :
Lopez-de-Ipina, K. ; Bergareche, A. ; De la Riva, P. ; Faundez-Zanuy, M. ; Calvo, P. ; Zelarain, F.
Author_Institution :
UPV/EHU (Basque Country Univ.) Donostia, Donostia, Spain
fYear :
2014
fDate :
16-18 July 2014
Firstpage :
56
Lastpage :
59
Abstract :
In this paper, which is part of a wide-ranging cross study for the diagnosis of Essential Tremor, we present a selection of nonlinear biomarkers from drawings and handwriting. These include Fractal Dimension and Entropy. The presence of integrated features of other diseases such as stress will be also analyzed. Then these new biomarkers will be integrated in future works with those obtained in the Biodonostia study. It should be highlighted that the use of this technology could provide undoubted benefits towards the development of more sustainable, low cost, high quality, non-invasive technologies. These systems are easily adaptable to the user and environment, and from a social and economic point of view can be very useful in real complex environments.
Keywords :
diseases; entropy; fractals; medical signal processing; biodonostia study; diseases; entropy; essential tremor diagnosis; fractal dimension; noninvasive writing signal analysis; nonlinear approach; nonlinear biomarker selection; Biomarkers; Diseases; Entropy; Fractals; Performance evaluation; Spirals; Writing; Entropy; Essential Tremor diagnosis; Fractal Dimensions; Nonlinear Handwriting Processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bio-inspired Intelligence (IWOBI), 2014 International Work Conference on
Conference_Location :
Liberia
Type :
conf
DOI :
10.1109/IWOBI.2014.6913938
Filename :
6913938
Link To Document :
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