Advanced classification of Alzheimer's disease and healthy subjects based on EEG markers

@article{Bevilacqua2015AdvancedCO,
  title={Advanced classification of Alzheimer's disease and healthy subjects based on EEG markers},
  author={Vitoantonio Bevilacqua and Angelo Antonio Salatino and Carlo Di Leo and Giacomo Tattoli and Domenico Buongiorno and Domenico Signorile and Claudio Babiloni and Claudio Del Percio and Antonio Ivano Triggiani and Loreto Gesualdo},
  journal={2015 International Joint Conference on Neural Networks (IJCNN)},
  year={2015},
  pages={1-5}
}
In this study, we compared several classifiers for the supervised distinction between normal elderly and Alzheimer's disease individuals, based on resting state electroencephalographic markers, age, gender and education. Three main preliminary procedures served to perform features dimensionality reduction were used and discussed: a Support Vector Machines Recursive Features Elimination, a Principal Component Analysis and a novel method based on the correlation. In particular, five different… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 17 references

A review of the effects of hypoxia , sleep deprivation and transcranial magnetic stimulation on eeg activity in humans : Challenges for drug discovery for alzheimers disease

A. Abdel-Dayem
2014

Similar Papers

Loading similar papers…