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EEG filtering based on blind source separation (BSS) for early detection of Alzheimer's disease

  • Published:2005-03 Issue:3 Volume:116 Page:729-737
  • ISSN:1388-2457
  • Container-title:Clinical Neurophysiology
  • language:en
  • Short-container-title:Clinical Neurophysiology

Author:

Cichocki Andrzej,Shishkin Sergei L.,Musha Toshimitsu,Leonowicz Zbigniew,Asada Takashi,Kurachi Takayoshi

Publisher

Elsevier BV

Subject

Physiology (medical),Clinical Neurology,Neurology,Sensory Systems

Cited by 92 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. Artifacts removal techniques in EEG data for BCI applications: A survey;Computational Intelligence and Deep Learning Methods for Neuro-rehabilitation Applications;2024

2. Artificial intelligence for diagnostic and prognostic neuroimaging in dementia: A systematic review;Alzheimer's & Dementia;2023-08-10

3. EEG Artifact Removal Strategies for BCI Applications: A Survey;International Journal of Electrical Engineering and Computer Science;2023-07-07

4. Alzheimer's Disease Diagnosis Using Brain Signals and Artificial Neural Networks;The Neuroscience Journal of Shefaye Khatam;2023-07-01

5. Detection of Target Frequency from Multichannel SSVEP Based BCI System using combined approach of BSS-CCA;2023-06-26
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