シャ キンカ
Jinhua She
佘 錦華 所属 工学部 機械工学科 職種 教授 |
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言語種別 | 英語 |
発行・発表の年月 | 2017/07 |
形態種別 | 国際会議論文 |
査読 | 査読あり |
標題 | A four-stage localization method for epileptic seizure onset zones |
執筆形態 | 共著 |
掲載誌名 | The 20th World Congress of the International Federation of Automatic Control (IFAC 2017) |
掲載区分 | 国外 |
出版社・発行元 | The International Federation of Automatic Control |
巻・号・頁 | pp.4498-4503 |
担当範囲 | ALL |
著者・共著者 | Ting Wan, Min Wu, Xuzhi Lai, Xiongbo Wan, Jinhua She, and Yuxiao Du |
概要 | This paper presents a four-stage localization method for epileptic seizure onset zones (SOZs). This method combines the advantages of both the Shannon-entropy-based complex Morlet wavelet transform (SE-CMWT) and adaptive-genetic-algorithm-based matching pursuit (AGA-MP) methods to achieve satisfactory localization performance. The Hilbert transform method is used to identify events of interest. The SE-CMWT-based power spectral density method is applied to acquire channels of interest (CoIs). By using the Morlet wavelets as the dictionary elements, the AGA-MP method combined with Morlet wavelets is developed to detect high-frequency oscillations (HFOs) on CoIs with faster speed and higher accuracy than the AGA-MP method. And the characteristics of HFOs are used to localize SOZs based on the half-maximum method. A comparison shows that our method has higher sensitivity and specificity than four existing methods. |
外部リンクURL | https://www.sciencedirect.com/science/article/pii/S2405896317313812 |