Spectral analysis and Bi-LSTM deep network-based approach in detection of mild cognitive impairment from electroencephalography signals
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cognitive Neuroscience
Link
https://link.springer.com/content/pdf/10.1007/s11571-023-10010-y.pdf
Reference75 articles.
1. Alden EC, Pudumjee SB, Lundt ES, Albertson SM, Machulda MM, Kremers WK, Knopman DS, Petersen RC, Mielke MM, Stricker NH (2021) Diagnostic accuracy of the Cogstate Brief Battery for prevalent MCI and prodromal AD (MCI A+ T+) in a population-based sample. Alzh Demen 17:584–94. https://doi.org/10.1002/alz.12219
2. Altan A, Karasu S (2020) Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform, chaotic salp swarm algorithm and deep learning technique. Chao Solit Fract 140:110071. https://doi.org/10.1016/j.chaos.2020.110071
3. Alvi AM, Siuly S, Wang H (2022a) A long short-term memory based framework for early detection of mild cognitive impairment from EEG signals. IEEE Trans Emerg Top Comp Intell. https://doi.org/10.1109/TETCI.2022.3186180
4. Alvi AM, Siuly S, Wang H, Wang K, Whittaker F (2022b) A deep learning based framework for diagnosis of mild cognitive impairment. Knowl Based Syst 248:108815. https://doi.org/10.1016/j.knosys.2022.108815
5. Ashok P, Jackermeier M, Jagtap P, Křetínský J, Weininger M, Zamani M (2020) dtControl: decision tree learning algorithms for controller representation. In Proceedings of the 23rd international conference on hybrid systems: computing and controling DOI: https://doi.org/10.1145/3365365.3382220
Cited by 2 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. MSHANet: a multi-scale residual network with hybrid attention for motor imagery EEG decoding;Cognitive Neurodynamics;2024-05-21
2. A New Approach Based on Deep Features of Convolutional Neural Networks for Partial Discharge Detection in Power Systems;IEEE Access;2024
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