The detection of Freezing of Gait in Parkinson's disease patients using EEG signals based on Wavelet decomposition.
Annu Int Conf IEEE Eng Med Biol Soc
; 2012: 69-72, 2012.
Article
en En
| MEDLINE
| ID: mdl-23365834
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.
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Enfermedad de Parkinson
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Electroencefalografía
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Análisis de Ondículas
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Marcha
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Modelos Neurológicos
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Red Nerviosa
Tipo de estudio:
Diagnostic_studies
Límite:
Aged
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
Annu Int Conf IEEE Eng Med Biol Soc
Año:
2012
Tipo del documento:
Article
País de afiliación:
Australia