Name
Abstract | ||
|---|---|---|
Freezing of gait (FOG) is a debilitating symptom of Parkinson's disease (PD), in which patients experience sudden difficulties in starting or continuing locomotion. It is described by patients as the sensation that their feet are suddenly glued to the ground. This, disturbs their balance, and hence often leads to falls. In this study, directed transfer function (DTF) and partial directed coherence (PDC) were used to calculate the effective connectivity of neural networks, as the input features for systems that can detect FOG based on a Multilayer Perceptron Neural Network, as well as means for assessing the causal relationships in neurophysiological neural networks during FOG episodes. The sensitivity, specificity and accuracy obtained in subject dependent analysis were 82%, 77%, and 78%, respectively. This is a significant improvement compared to previously used methods for detecting FOG, bringing this detection system one step closer to a final version that can be used by the patients to improve their symptoms. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/EMBC.2014.6944530 | EMBC |
Keywords | Field | DocType |
multilayer perceptron neural network,sensitivity,diseases,neurophysiology,fog,accuracy,electroencephalography,brain effective connectivity,pdc,medical signal processing,multilayer perceptrons,effective connectivity,dtf,gait analysis,neurophysiological neural networks,brain,parkinson's disease,directed transfer function,eeg,freezing-of-gait,continuing locomotion,specificity,starting locomotion,partial directed coherence | Computer vision,Gait,Pattern recognition,Neurophysiology,Computer science,Multilayer perceptron neural network,Artificial intelligence,Artificial neural network,Sensation | Conference |
Volume | ISSN | Citations |
2014 | 1557-170X | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| A M Ardi Handojoseno | 1 | 25 | 3.70 |
| James M. Shine | 2 | 53 | 4.84 |
| Moran Gilat | 3 | 25 | 2.24 |
| Tuan Nghia Nguyen | 4 | 53 | 5.88 |
| Yvonne Tran | 5 | 36 | 4.61 |
| Simon J. G. Lewis | 6 | 28 | 5.05 |
| Hung T. Nguyen | 7 | 372 | 56.85 |