OPT OpenIR  > 光谱成像技术研究室
Alzheimer's Disease Analysis Algorithm Based on No-threshold Recurrence Plot Convolution Network
Li, Xuemei; Zhou, Tao; Qiu, Shi
作者部门光谱成像技术研究室
2022-05-10
发表期刊FRONTIERS IN AGING NEUROSCIENCE
ISSN1663-4365
卷号14
产权排序3
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.
关键词Alzheimer's disease EEG PLV recursive graph no-threshold
DOI10.3389/fnagi.2022.888577
收录类别SCI
语种英语
WOS记录号WOS:000802256800001
出版者FRONTIERS MEDIA SA
引用统计
被引频次:5[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/95996
专题光谱成像技术研究室
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).
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Alzheimer's Disease (1937KB)期刊论文出版稿限制开放CC BY-NC-SA请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Li, Xuemei]的文章
[Zhou, Tao]的文章
[Qiu, Shi]的文章
百度学术
百度学术中相似的文章
[Li, Xuemei]的文章
[Zhou, Tao]的文章
[Qiu, Shi]的文章
必应学术
必应学术中相似的文章
[Li, Xuemei]的文章
[Zhou, Tao]的文章
[Qiu, Shi]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。