Electroencephalogram Cepstral Distances in Alzheimer's Disease Diagnosis

• Type: Article in International Conference Proceedings Book
• Date: 2015

Authors

Rodrigues, PM (Author) Other; Freitas, D (Author) Other; Teixeira, JP (Author) Other

Conference proceedings International

Title: CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS/INTERNATIONAL CONFERENCE ON PROJECT MANAGEMENT/CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES, CENTERIS/PROJMAN / HCIST 2015

Pages: 879-884

Conference on ENTERprise Information Systems (CENTERIS) / International Conference on Project MANagement (ProjMAN) / International Conference on Health and Social Care Information Systems and Technologies (HCist)

Vilamoura, PORTUGAL, OCT 07-09, 2015

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Other information

Authenticus ID: P-00K-D43

DOI: 10.1016/j.procs.2015.08.600

Abstract (EN): Alzheimer's disease (AD) represents one of the greatest public health challenges worldwide nowadays, because it affects millions of people all over the world and it is expected that the disease will increase considerably in the near future. This study is the first application attempt of cepstral analysis on Electroencephalogram (EEG) signals to find new parameters in order to achieve a better differentiation between EEGs of AD patients and Control subjects. The results show that the methodology that uses a combined Wavelet (WT) Biorthogonal (Bior) 3.5 and cepstrum analysis was able to describe the EEG dynamics with a higher discriminative power than the other WTs/spectrum methodologies in previous studies. The most important significance figures were found in cepstral distances between cepstrums of theta and alpha bands (p=0.00006<0.05). (C) 2015 The Authors. Published by Elsevier B.V.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6