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論文
【年度】102
年研發成果
【項目】
論文
【領域】
關鍵技術科專
【類別】
生醫材化
| 計畫名稱 | 整合式麻醉深度監測儀開發 | | 論文名稱 | Application of multivariate empirical mode decomposition and sample entropy in EEG signals via artificial neural networks for interpreting | | 論文類型 | 期刊 | | 發表處 | Entropy 2013, 15, 3325-3339 | | 發表人 | Jeng-Rung Huang,Shou-Zen Fan,Maysam F. Abbod,Kuo-Kuang Jen,Jeng-Fu Wu, Jiann-Shing Shieh | | 發表日期 | 102/08/16 | | 國家 | 國外 | | 內容摘要 | EEG (Electroencephalography) signals can express the human awareness activities and consequently it can indicate the depth of anesthesia. On the other hand, Bispectral-index (BIS) is often used as an indicator to assess the depth of anesthesia. This study |
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