دورية أكاديمية
Complexity Analysis of Electroencephalogram Dynamics in Patients with Parkinson’s Disease
| العنوان: | Complexity Analysis of Electroencephalogram Dynamics in Patients with Parkinson’s Disease |
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| المؤلفون: | Guotao Liu, Yanping Zhang, Zhenghui Hu, Xiuquan Du, Wanqing Wu, Chenchu Xu, Xiangyang Wang, Shuo Li |
| المصدر: | Parkinson's Disease, Vol 2017 (2017) |
| بيانات النشر: | Wiley, 2017. |
| سنة النشر: | 2017 |
| المجموعة: | LCC:Neurology. Diseases of the nervous system |
| مصطلحات موضوعية: | Neurology. Diseases of the nervous system, RC346-429 |
| الوصف: | In this study, a new combination scheme has been proposed for detecting Parkinson’s disease (PD) from electroencephalogram (EEG) signal recorded from normal subjects and PD patients. The scheme is based on discrete wavelet transform (DWT), sample entropy (SampEn), and the three-way decision model in analysis of EEG signal. The EEG signal is noisy and nonstationary, and, as a consequence, it becomes difficult to distinguish it visually. However, the scheme is a well-established methodology in analysis of EEG signal in three stages. In the first stage, the DWT was applied to acquire the split frequency information; here, we use three-level DWT to decompose EEG signal into approximation and detail coefficients; in this stage, we aim to remove the useless and noise information and acquire the effective information. In the second stage, as the SampEn has advantage in analyzing the EEG signal, we use the approximation coefficient to compute the SampEn values. Finally, we detect the PD patients using three-way decision based on optimal center constructive covering algorithm (O_CCA) with the accuracy about 92.86%. Without DWT as preprocessing step, the detection rate reduces to 88.10%. Overall, the combination scheme we proposed is suitable and efficient in analyzing the EEG signal with higher accuracy. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2090-8083 2042-0080 |
| Relation: | https://doaj.org/toc/2090-8083; https://doaj.org/toc/2042-0080 |
| DOI: | 10.1155/2017/8701061 |
| URL الوصول: | https://doaj.org/article/54b4e8bf63c94286a508be6f2a94a90b |
| رقم الأكسشن: | edsdoj.54b4e8bf63c94286a508be6f2a94a90b |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 20908083 20420080 |
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| DOI: | 10.1155/2017/8701061 |