Name
Title | ||
|---|---|---|
A Parkinson’s Disease Classification Method: An Approach Using Gait Dynamics and Detrended Fluctuation Analysis |
Abstract | ||
|---|---|---|
Parkinson's Disease (PD) is a neurodegenerative disorder that affects, among other things, the gait rhythm. This paper presents an automatic method to identify PD subjects from healthy subjects using information derived from a time series of stride intervals, swing intervals, stance intervals and double support intervals of stride-to-stride measures of footfall contact times using force-sensitive resistors. In our approach, we propose the use of machine learning based classifiers along with features based on metrics of fluctuation magnitude and fluctuation dynamics, obtained from a detrended fluctuation analysis. We evaluate and compare performance of five state-of-the-art classification methods according to their accuracies: Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Naive Bayes (NB), Linear Discriminant Analysis (LDA) and Decision Tree (DT). Our experiments were carried out on a publicly available data base of gait dynamics in neurodegenerative diseases. The results show an average accuracy of 96.8%, representing an improvement compared to other results in the literature. Therefore, the proposed approach presents a path towards an automated, non-invasive and low-cost diagnosis of Parkinson's Disease. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/CCECE.2019.8861759 | 2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) |
Keywords | Field | DocType |
automatic diagnosis,Parkinson’s disease,machine learning | Time series,Decision tree,Naive Bayes classifier,STRIDE,Gait,Pattern recognition,Computer science,Support vector machine,Control engineering,Detrended fluctuation analysis,Artificial intelligence,Linear discriminant analysis | Conference |
ISSN | ISBN | Citations |
0840-7789 | 978-1-7281-0320-4 | 0 |
PageRank | References | Authors |
0.34 | 4 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juliana Paula Félix | 1 | 0 | 0.68 |
| Flávio H. T. Vieira | 2 | 0 | 0.34 |
| Álisson A. Cardoso | 3 | 0 | 0.34 |
| Marcus V. G. Ferreira | 4 | 0 | 0.68 |
| Ricardo Augusto Pereira Franco | 5 | 0 | 0.34 |
| Michel A. Ribeiro | 6 | 0 | 0.34 |
| Sérgio G. Araújo | 7 | 0 | 0.34 |
| Henrique P. Corrêa | 8 | 0 | 0.34 |
| Marcos L. Carneiro | 9 | 0 | 0.34 |