RT info:eu-repo/semantics/article
T1 A discriminant analysis of the P3b wave with electroencephalogram by feature-electrode pairs in schizophrenia diagnosis
A1 Arribas Sánchez, Juan Ignacio
A1 San José Revuelta, Luis Miguel
K1 Detección
K1 Esquizofrenia
K1 Computer Aided Diagnosis
K1 Onda P3b
K1 Ayuda al diagnóstico
K1 Ingeniería Biomédica
K1 Procesado de señal
K1 Esquizofrenia
K1 Diagnóstico
K1 P3b
K1 Sistema de Ayuda al Diagnóstico
K1 Detección
K1 Selección de características
K1 3306 Ingeniería y Tecnología Eléctricas
K1 1209.04 Teoría y Proceso de decisión
AB Schizophrenia is a disease that affects approximately 1% of the population. Its early accurate diagnosis is of vital importance to apply adequate therapy as soon as possible. We present a Statistical Discriminant Diagnosing (SDD) system that discriminates between healthy controls and subjects and that supports diagnosis by a medical professional. The system works with {feature, electrode} EEG pairs which are selected based on the statistical significance of the p-values computed over the brain P3b wave. A bank of evoked potential pre-processed and filtered EEG signals is recorded during an auditory odd-ball (AOD) task and serves as input to the SDD system. These EEG signals comprise 20 features and 17 electrodes, both in time (t) and frequency (f) domain. The relevance of the Parieto-Temporal region is shown, allowing us to identify highly discriminant {feature, electrode} pairs in the detection of schizophrenia, resulting lower p-values in both Right and Left Hemispheres, as well as in Parieto-Temporal EEG signals. See for instance, the {PSE, P4} pair, with p-value = 0.00003 for (parametric) t Student and p-value = 0.00019 for (nonparametric) U Mann-Whitney tests, both under the 15 Hz cutoff frequency of a low pass EEG preprocessing filter. The relevance of this pair is in agreement with previously published related results. The proposed SDD system may provide the human expert (psychiatrist) with an objective complimentary information to help in the early diagnosis of schizophrenia.
PB John Wiley & Sons Ltd.
SN 1751-9675
YR 2023
FD 2023
LK https://uvadoc.uva.es/handle/10324/71491
UL https://uvadoc.uva.es/handle/10324/71491
LA eng
NO IET Signal Processing, e12230, vol. 17, Issue 6, 2023, pp. 1-20.
NO Producción Científica
DS UVaDOC
RD 27-dic-2024