Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Characterization of the Handwriting Skills as a Biomarker for Parkinson
  Disease   In this paper we evaluate the suitability of handwriting patterns as
potential biomarkers to model Parkinson disease (PD). Although the study of PD
is attracting the interest of many researchers around the world, databases to
evaluate handwriting patterns are scarce and knowledge about patterns
associated to PD is limited and biased to the existing datasets. This paper
introduces a database with a total of 935 handwriting tasks collected from 55
PD patients and 94 healthy controls (45 young and 49 old). Three feature sets
are extracted from the signals: neuromotor, kinematic, and nonlinear dynamic.
Different classifiers are used to discriminate between PD and healthy subjects:
support vector machines, knearest neighbors, and a multilayer perceptron. The
proposed features and classifiers enable to detect PD with accuracies between
81% and 97%. Additionally, new insights are presented on the utility of the
studied features for monitoring and detecting PD.

29
The categories of this paper are: funct-an
19
The categories of this paper are: eess
2
The categories of this paper are: math
20
The categories of this paper are: acc-phys
34
The categories of this paper are: chem-ph
31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ
6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
24
The categories of this paper are: dg-ga
15
The categories of this paper are: nucl-ex
27
The categories of this paper are: comp-gas
32
The categories of this paper are: atom-ph
10
The categories of this paper are: q-bio
33
The categories of this paper are: plasm-ph
8
The categories of this paper are: hep-ex