Single channel EEG time-frequency features to detect Mild Cognitive Impairment-Reference-Cited by-同舟云学术

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Single channel EEG time-frequency features to detect Mild Cognitive Impairment

Published:2017-05 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
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Author:

Khatun Saleha,Morshed Bashir I.,Bidelman Gavin M.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7976935/7985834/07985916.pdf?arnumber=7985916

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. Monitoring Disease Severity of Mild Cognitive Impairment from Single-Channel EEG Data Using Regression Analysis;Sensors;2024-02-06

2. A Long Short-Term Memory Based Framework for Early Detection of Mild Cognitive Impairment From EEG Signals;IEEE Transactions on Emerging Topics in Computational Intelligence;2023-04

3. A Preliminary Study on Automatic Detection and Filtering of Artifacts from EEG Signals;2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS);2021-06

4. An Integrated MCI Detection Framework Based on Spectral-temporal Analysis;International Journal of Automation and Computing;2019-10-08

5. A Single-Channel EEG-Based Approach to Detect Mild Cognitive Impairment via Speech-Evoked Brain Responses;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2019-05

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