Classification and Detection of Single Evoked Brain Potentials Using Time-Frequency Amplitude Features
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering
Link
http://xplorestaging.ieee.org/ielx5/10/4122210/04122218.pdf?arnumber=4122218
Cited by 23 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. Using correlation analysis to assess the reliability of evoked potential components identified by signal averaging;Journal of Neuroscience Methods;2020-07
2. Automatic signal abnormality detection using time-frequency features and machine learning: A newborn EEG seizure case study;Knowledge-Based Systems;2016-08
3. Subliminal unconscious conflict alpha power inhibits supraliminal conscious symptom experience;Frontiers in Human Neuroscience;2013
4. Enhanced Detection of Visual-Evoked Potentials in Brain-Computer Interface Using Genetic Algorithm and Cyclostationary Analysis;Computational Intelligence and Neuroscience;2007
5. Evoked Potentials;Bioelectrical Signal Processing in Cardiac and Neurological Applications;2005
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