Paper Info
Title
A Step Towards the Automated Diagnosis of Parkinson's Disease: Analyzing Handwriting Movements
Abstract
Parkinson's disease (PD) has affected millions of people world-wide, being its major problem the loss of movements and, consequently, the ability of working and locomotion. Although we can find several works that attempt at dealing with this problem out there, most of them make use of datasets composed by a few subjects only. In this work, we present some results toward the automated diagnosis of PD by means of computer vision-based techniques in a dataset composed by dozens of patients, which is one of the main contributions of this work. The dataset is part of a joint research project that aims at extracting both visual and signal-based information from healthy and PD patients in order to go forward the early diagnosis of PD patients. The dataset is composed by handwriting clinical exams that are analyzed by means of image processing and machine learning techniques, being the preliminary results encouraging and promising. Additionally, a new quantitative feature to measure the amount of tremor of an individual's handwritten trace called Mean Relative Tremor is also presented.
Year
DOI
Venue
2015
10.1109/CBMS.2015.34
IEEE Symposium on Computer-Based Medical Systems
Keywords
Field
DocType
Parkinson's disease, machine learning, movement disorders
Computer vision,Parkinson's disease,Movement disorders,Handwriting,Computer science,Image processing,Speech recognition,Artificial intelligence
Conference
ISSN
Citations 
PageRank 
2372-9198
9
0.58
References 
Authors
7
7
Name
Order
Citations
PageRank
Clayton Pereira1828.52
Danillo Roberto Pereira2398.61
Francisco Assis da Silva3181.49
Christian Hook4132.05
Silke A. T. Weber5444.77
Luís A. M. Pereira61298.87
João Paulo Papa727844.60