Detection of Alzheimer’s Disease Using a Four-Channel EEG Montage
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-06242-1_43
Reference21 articles.
1. Adeli, H., Ghosh-Dastidar, S., Dadmehr, N.: A spatio-temporal wavelet-chaos methodology for EEG-based diagnosis of Alzheimer’s disease. Neurosci. Lett. 444(2), 190–194 (2008). https://doi.org/10.1016/j.neulet.2008.08.008. https://www.sciencedirect.com/science/article/pii/S0304394008010860
2. Amezquita-Sanchez, J.P., Mammone, N., Morabito, F.C., Marino, S., Adeli, H.: A novel methodology for automated differential diagnosis of mild cognitive impairment and the Alzheimer’s disease using EEG signals. J. Neurosci. Methods 322, 88–95 (2019). https://doi.org/10.1016/j.jneumeth.2019.04.013. http://www.sciencedirect.com/science/article/pii/S0165027019301335, 00000
3. Arevalo-Rodriguez, I., et al.: Mini-Mental State Examination (MMSE) for the early detection of dementia in people with mild cognitive impairment (MCI). Cochrane Database Systematic Rev. 7, CD010783 (2021). https://doi.org/10.1002/14651858.CD010783.pub3
4. Cassani, R., Estarellas, M., San-Martin, R., Fraga, F.J., Falk, T.H.: Systematic Review on Resting-State EEG for Alzheimer’s Disease Diagnosis and Progression Assessment, October 2018. https://doi.org/10.1155/2018/5174815. https://www.hindawi.com/journals/dm/2018/5174815/, iSSN: 0278-0240 Pages: e5174815 Publisher: Hindawi Volume: 2018
5. Cassani, R., Falk, T.H., Fraga, F.J., Cecchi, M., Moore, D.K., Anghinah, R.: Towards automated electroencephalography-based Alzheimer’s disease diagnosis using portable low-density devices. Biomed. Signal Process. Control 33, 261–271 (2017). https://doi.org/10.1016/j.bspc.2016.12.009. http://www.sciencedirect.com/science/article/pii/S174680941630221X, 00000
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Combining Nonlinear Features of EEG and MRI to Diagnose Alzheimer’s Disease;Annals of Data Science;2024-05-21
2. Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends;Information Fusion;2023-12
3. Adazd-Net: Automated adaptive and explainable Alzheimer’s disease detection system using EEG signals;Knowledge-Based Systems;2023-10
4. Enhanced Alzheimer's disease and Frontotemporal Dementia EEG Detection: Combining lightGBM Gradient Boosting with Complexity Features;2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS);2023-06
5. Supporting the Detection of Early Alzheimer’s Disease with a Four-Channel EEG Analysis;International Journal of Neural Systems;2023-02-16
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3