The detection of Freezing of Gait in Parkinson's disease patients using EEG signals based on Wavelet decomposition.

A. M. Ardi Handojoseno; James M. Shine; Tuan N. Nguyen; Yvonne Tran; Simon J. G. Lewis; Hung T. Nguyen

doi:10.1109/EMBC.2012.6345873

The detection of Freezing of Gait in Parkinson's disease patients using EEG signals based on Wavelet decomposition.

A. M. Ardi Handojoseno, James M. Shine, Tuan N. Nguyen, Yvonne Tran, Simon J. G. Lewis, Hung T. Nguyen

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

51 Citations (Scopus)

Abstract

Freezing of Gait (FOG) is one of the most disabling gait disturbances of Parkinson's disease (PD). The experience has often been described as "feeling like their feet have been glued to the floor while trying to walk" and as such it is a common cause of falling in PD patients. In this paper, EEG subbands Wavelet Energy and Total Wavelet Entropy were extracted using the multiresolution decomposition of EEG signal based on the Discrete Wavelet Transform and were used to analyze the dynamics in the EEG during freezing. The Back Propagation Neural Network classifier has the ability to identify the onset of freezing of PD patients during walking using these features with average values of accuracy, sensitivity and specificity are around 75 %. This results have proved the feasibility of utilized EEG in future treatment of FOG.

Original language	English
Title of host publication	2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	69-72
Number of pages	4
ISBN (Electronic)	9781457717871
ISBN (Print)	9781424441198
DOIs	https://doi.org/10.1109/EMBC.2012.6345873
Publication status	Published - 2012
Externally published	Yes
Event	34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 - San Diego, CA, United States Duration: 28 Aug 2012 → 1 Sep 2012

Conference

Conference	34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
Country	United States
City	San Diego, CA
Period	28/08/12 → 1/09/12

Access to Document

10.1109/EMBC.2012.6345873

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Handojoseno, A. M. A., Shine, J. M., Nguyen, T. N., Tran, Y., Lewis, S. J. G., & Nguyen, H. T. (2012). The detection of Freezing of Gait in Parkinson's disease patients using EEG signals based on Wavelet decomposition. In 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 69-72). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/EMBC.2012.6345873

Handojoseno, A. M. Ardi ; Shine, James M. ; Nguyen, Tuan N. ; Tran, Yvonne ; Lewis, Simon J. G. ; Nguyen, Hung T. / The detection of Freezing of Gait in Parkinson's disease patients using EEG signals based on Wavelet decomposition. 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Institute of Electrical and Electronics Engineers (IEEE), 2012. pp. 69-72

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title = "The detection of Freezing of Gait in Parkinson's disease patients using EEG signals based on Wavelet decomposition.",

abstract = "Freezing of Gait (FOG) is one of the most disabling gait disturbances of Parkinson's disease (PD). The experience has often been described as {"}feeling like their feet have been glued to the floor while trying to walk{"} and as such it is a common cause of falling in PD patients. In this paper, EEG subbands Wavelet Energy and Total Wavelet Entropy were extracted using the multiresolution decomposition of EEG signal based on the Discrete Wavelet Transform and were used to analyze the dynamics in the EEG during freezing. The Back Propagation Neural Network classifier has the ability to identify the onset of freezing of PD patients during walking using these features with average values of accuracy, sensitivity and specificity are around 75 {\%}. This results have proved the feasibility of utilized EEG in future treatment of FOG.",

author = "Handojoseno, {A. M. Ardi} and Shine, {James M.} and Nguyen, {Tuan N.} and Yvonne Tran and Lewis, {Simon J. G.} and Nguyen, {Hung T.}",

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Handojoseno, AMA, Shine, JM, Nguyen, TN, Tran, Y, Lewis, SJG & Nguyen, HT 2012, The detection of Freezing of Gait in Parkinson's disease patients using EEG signals based on Wavelet decomposition. in 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Institute of Electrical and Electronics Engineers (IEEE), pp. 69-72, 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012, San Diego, CA, United States, 28/08/12. https://doi.org/10.1109/EMBC.2012.6345873

The detection of Freezing of Gait in Parkinson's disease patients using EEG signals based on Wavelet decomposition. / Handojoseno, A. M. Ardi; Shine, James M.; Nguyen, Tuan N.; Tran, Yvonne; Lewis, Simon J. G.; Nguyen, Hung T.

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Institute of Electrical and Electronics Engineers (IEEE), 2012. p. 69-72.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

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AB - Freezing of Gait (FOG) is one of the most disabling gait disturbances of Parkinson's disease (PD). The experience has often been described as "feeling like their feet have been glued to the floor while trying to walk" and as such it is a common cause of falling in PD patients. In this paper, EEG subbands Wavelet Energy and Total Wavelet Entropy were extracted using the multiresolution decomposition of EEG signal based on the Discrete Wavelet Transform and were used to analyze the dynamics in the EEG during freezing. The Back Propagation Neural Network classifier has the ability to identify the onset of freezing of PD patients during walking using these features with average values of accuracy, sensitivity and specificity are around 75 %. This results have proved the feasibility of utilized EEG in future treatment of FOG.

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Handojoseno AMA, Shine JM, Nguyen TN, Tran Y, Lewis SJG, Nguyen HT. The detection of Freezing of Gait in Parkinson's disease patients using EEG signals based on Wavelet decomposition. In 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Institute of Electrical and Electronics Engineers (IEEE). 2012. p. 69-72 https://doi.org/10.1109/EMBC.2012.6345873