Title | ||
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Detection Of Turning Freeze In Parkinson'S Disease Based On S-Transform Decomposition Of Eeg Signals |
Abstract | ||
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Freezing of Gait (FOG) is a highly debilitating and poorly understood symptom of Parkinson's disease (PD), causing severe immobility and decreased quality of life. Turning Freezing (TF) is known as the most common sub-type of FOG, also causing the highest rate of falls in PD patients. During a TF, the feet of PD patients appear to become stuck whilst making a turn. This paper presents an electroencephalography (EEG) based classification method for detecting turning freezing episodes in six PD patients during Timed Up and Go Task experiments. Since EEG signals have a time-variant nature, time-frequency Stockwell Transform (S-Transform) techniques were used for feature extraction. The EEG sources were separated by means of independent component analysis using entropy bound minimization (ICA-EBM). The distinctive frequency-based features of selected independent components of EEG were extracted and classified using Bayesian Neural Networks. The classification demonstrated a high sensitivity of 84.2%, a specificity of 88.0% and an accuracy of 86.2% for detecting TF. These promising results pave the way for the development of a real-time device for detecting different sub-types of FOG during ambulation. |
Year | DOI | Venue |
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2017 | 10.1109/EMBC.2017.8037499 | 2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Field | DocType | Volume |
Computer vision,Parkinson's disease,Gait,Pattern recognition,Computer science,Feature extraction,During ambulation,Bayesian neural networks,Independent component analysis,Artificial intelligence,S transform,Electroencephalography | Conference | 2017 |
ISSN | Citations | PageRank |
1094-687X | 2 | 0.37 |
References | Authors | |
3 | 10 |
Name | Order | Citations | PageRank |
---|---|---|---|
Quynh Tran Ly | 1 | 3 | 0.73 |
A M Ardi Handojoseno | 2 | 25 | 3.70 |
Moran Gilat | 3 | 25 | 2.24 |
Rifai Chai | 4 | 65 | 11.66 |
Kaylena A. Ehgoetz Martens | 5 | 6 | 1.83 |
Matthew Georgiades | 6 | 3 | 1.07 |
Ganesh R. Naik | 7 | 298 | 25.37 |
Yvonne Tran | 8 | 57 | 6.74 |
Simon J. G. Lewis | 9 | 28 | 5.05 |
Hung T. Nguyen | 10 | 372 | 56.85 |