Diagnosis of Alzheimer's disease from EEG by means of synchrony measures in optimized frequency bands
Several clinical studies have reported that EEG synchrony is affected by Alzheimer's disease (AD). In this paper a frequency band analysis of AD EEG signals is presented, with the aim of improving the diagnosis of AD using EEG signals. In this paper, multiple synchrony measures are assessed thr...
Saved in:
Main Authors: | Cichocki, Andrzej, Gallego-Jutglà, Esteve, Elgendi, Mohamed, Vialatte, François-Benoît, Solé-Casals, Jordi, Latchoumane, Charles, Jeong, Jaeseung, Dauwels, Justin |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/98785 http://hdl.handle.net/10220/12524 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Slowing and loss of complexity in Alzheimer's EEG : two sides of the same coin?
by: Srinivasan, K., et al.
Published: (2013) -
Audio representations of multi-channel EEG: a new tool for diagnosis of brain disorders
by: Vialatte, François B., et al.
Published: (2016) -
Quantifying statistical interdependence, part III : N > 2 point processes
by: Dauwels, Justin, et al.
Published: (2013) -
Multi-channel EEG compression based on matrix and tensor decompositions
by: Srinivasan, K., et al.
Published: (2013) -
Multi-channel EEG compression based on 3D decompositions
by: Srinivasan, K., et al.
Published: (2013)