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題 名 | Applications of Multilayer Feedforward Neural Networks in Electrogastrogaphy |
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作 者 | Liang,Jie; Lin,Zhiyue; Chen,J. D. Z.; | 書刊名 | 醫學工程 |
卷 期 | 8:6 1996.12[民85.12] |
頁 次 | 頁124-141 |
分類號 | 410.1644 |
關鍵詞 | Artificial neural network; Multilayer feedforward neural network; MFNN; |
語 文 | 英文(English) |
英文摘要 | Artificial neural networks have been widely used in biomedical signal processing. This paper introduces applications of multilayer feedforward neural networks (MFNN) in surface electrogastrogram (EGG) which is a noninvasive measurement of the electrical activity of the stomach. These applications focus on identification and classification of EGG signals, including identification of motion artifacts in the EGG recordings, identification of gastric contractions from surface EGG, and classification of normal and abnormal EGG. Related theories on MFNN and feature extraction are given before the presentation of the applications in EGG. Further studies may lead to clinical applications of the surface EGG. |
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