The effects of automated artifact removal algorithms on electroencephalography-based Alzheimer's disease diagnosis

@inproceedings{Cassani2014TheEO,
  title={The effects of automated artifact removal algorithms on electroencephalography-based Alzheimer's disease diagnosis},
  author={Raymundo Cassani and Tiago H. Falk and Francisco J. Fraga and Paulo A. M. Kanda and Renato Anghinah},
  booktitle={Front. Aging Neurosci.},
  year={2014}
}
Over the last decade, electroencephalography (EEG) has emerged as a reliable tool for the diagnosis of cortical disorders such as Alzheimer's disease (AD). EEG signals, however, are susceptible to several artifacts, such as ocular, muscular, movement, and environmental. To overcome this limitation, existing diagnostic systems commonly depend on experienced clinicians to manually select artifact-free epochs from the collected multi-channel EEG data. Manual selection, however, is a tedious and… CONTINUE READING
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The effects of automated artifact removal algorithms on electroencephalographybased Alzheimer’s disease diagnosis

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