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	Alzheimer's Disease Analysis Algorithm Based on No-threshold Recurrence Plot Convolution Network
	Li, Xuemei; Zhou, Tao; Qiu, Shi
刊名	FRONTIERS IN AGING NEUROSCIENCE
	2022-05-10
卷号	14
关键词	Alzheimer's disease EEG PLV recursive graph no-threshold
ISSN号	1663-4365
DOI	10.3389/fnagi.2022.888577
产权排序	3
英文摘要	Alzheimer's disease is a neurological disorder characterized by progressive cognitive dysfunction and behavioral impairment that occurs in old. Early diagnosis and treatment of Alzheimer's disease is great significance. Electroencephalography (EEG) signals can be used to detect Alzheimer's disease due to its non-invasive advantage. To solve the problem of insufficient analysis by single-channel EEG signal, we analyze the relationship between multiple channels and build PLV framework. To solve the problem of insufficient representation of 1D signal, a threshold-free recursive plot convolution network was constructed to realize 2D representation. To solve the problem of insufficient EEG signal characterization, a fusion algorithm of clinical features and imaging features was proposed to detect Alzheimer's disease. Experimental results show that the algorithm has good performance and robustness.
语种	英语
出版者	FRONTIERS MEDIA SA
WOS记录号	WOS:000802256800001
内容类型	期刊论文
源URL	[http://ir.opt.ac.cn/handle/181661/95996]
专题	西安光学精密机械研究所_光学影像学习与分析中心
推荐引用方式 GB/T 7714	Li, Xuemei,Zhou, Tao,Qiu, Shi. Alzheimer's Disease Analysis Algorithm Based on No-threshold Recurrence Plot Convolution Network[J]. FRONTIERS IN AGING NEUROSCIENCE,2022,14.
APA	Li, Xuemei,Zhou, Tao,&Qiu, Shi.(2022).Alzheimer's Disease Analysis Algorithm Based on No-threshold Recurrence Plot Convolution Network.FRONTIERS IN AGING NEUROSCIENCE,14.
MLA	Li, Xuemei,et al."Alzheimer's Disease Analysis Algorithm Based on No-threshold Recurrence Plot Convolution Network".FRONTIERS IN AGING NEUROSCIENCE 14(2022).

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