Clustering Method and Gaussian Mixture Model Applied to Electroencephalogram of Anti-NMDA Receptor Encephalitis

碩士 === 國立交通大學 === 統計學研究所 === 106 === The electroencephalography (EEG) is a useful tool for research and diagnosis in many medical fields due to its characteristic of being related to human consciousness. The human brain is divided into several parts. The EEG can reflect the brain function of parieta...

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Main Authors:	Chen,Tzu-Ting, 陳子庭
Other Authors:	Wang, Hsiu-ying
Format:	Others
Language:	zh-TW
Published:	2018
Online Access:	http://ndltd.ncl.edu.tw/handle/2g6t74

id	ndltd-TW-106NCTU5337012
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spelling	ndltd-TW-106NCTU53370122019-09-26T03:28:09Z http://ndltd.ncl.edu.tw/handle/2g6t74 Clustering Method and Gaussian Mixture Model Applied to Electroencephalogram of Anti-NMDA Receptor Encephalitis 利用分群法與高斯混合模型探討抗NMDA受體腦炎腦波的特性 Chen,Tzu-Ting 陳子庭碩士國立交通大學統計學研究所 106 The electroencephalography (EEG) is a useful tool for research and diagnosis in many medical fields due to its characteristic of being related to human consciousness. The human brain is divided into several parts. The EEG can reflect the brain function of parietal lobe, frontal lobe, temporal lobe and occipital lobe. The Anti-NMDA receptor encephalitis is a disease that might be missed diagnosed in the earlier stage. In this study, we analyze the EEG data of an Anti-NMDA receptor encephalitis patient by applying a clustering method and the Gaussian mixture model. The characteristics of the EEG data are discussed. Wang, Hsiu-ying 王秀瑛 2018 學位論文 ; thesis 35 zh-TW
collection	NDLTD
language	zh-TW
format	Others
sources	NDLTD
description	碩士 === 國立交通大學 === 統計學研究所 === 106 === The electroencephalography (EEG) is a useful tool for research and diagnosis in many medical fields due to its characteristic of being related to human consciousness. The human brain is divided into several parts. The EEG can reflect the brain function of parietal lobe, frontal lobe, temporal lobe and occipital lobe. The Anti-NMDA receptor encephalitis is a disease that might be missed diagnosed in the earlier stage. In this study, we analyze the EEG data of an Anti-NMDA receptor encephalitis patient by applying a clustering method and the Gaussian mixture model. The characteristics of the EEG data are discussed.
author2	Wang, Hsiu-ying
author_facet	Wang, Hsiu-ying Chen,Tzu-Ting 陳子庭
author	Chen,Tzu-Ting 陳子庭
spellingShingle	Chen,Tzu-Ting 陳子庭 Clustering Method and Gaussian Mixture Model Applied to Electroencephalogram of Anti-NMDA Receptor Encephalitis
author_sort	Chen,Tzu-Ting
title	Clustering Method and Gaussian Mixture Model Applied to Electroencephalogram of Anti-NMDA Receptor Encephalitis
title_short	Clustering Method and Gaussian Mixture Model Applied to Electroencephalogram of Anti-NMDA Receptor Encephalitis
title_full	Clustering Method and Gaussian Mixture Model Applied to Electroencephalogram of Anti-NMDA Receptor Encephalitis
title_fullStr	Clustering Method and Gaussian Mixture Model Applied to Electroencephalogram of Anti-NMDA Receptor Encephalitis
title_full_unstemmed	Clustering Method and Gaussian Mixture Model Applied to Electroencephalogram of Anti-NMDA Receptor Encephalitis
title_sort	clustering method and gaussian mixture model applied to electroencephalogram of anti-nmda receptor encephalitis
publishDate	2018
url	http://ndltd.ncl.edu.tw/handle/2g6t74
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Clustering Method and Gaussian Mixture Model Applied to Electroencephalogram of Anti-NMDA Receptor Encephalitis

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