Diagnosis of Alzheimer's disease from EEG by means of synchrony measures in optimized frequency bands

• المؤلفون الرئيسيون: Cichocki, Andrzej, Gallego-Jutglà, Esteve, Elgendi, Mohamed, Vialatte, François-Benoît, Solé-Casals, Jordi, Latchoumane, Charles, Jeong, Jaeseung, Dauwels, Justin
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2013
• الموضوعات: DRNTU::Engineering::Electrical and electronic engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/98785; http://hdl.handle.net/10220/12524
• المؤسسة: Nanyang Technological University

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...