RT Conference Proceedings
T1 EEG Signal Analysis for the Detection of Spoken Language Comprehension
A1 Guillén, Sergio
A1 Tardón-García, Lorenzo José
A1 Barbancho-Pérez, Ana María
A1 De Torres García, Irene
A1 Barbancho-Pérez, Isabel
K1 Lenguaje - Congresos
AB The human brain performs a series of complex processing steps to translate spoken language from mere sound into meaning. In this article, through the analysis of electroencephalogram (EEG) signals, we try to identify those areas in which there is a substantial difference in brain activity when different languages are sought aiming at the detection of language comprehension. For this purpose, a set of sentences, both in their native and a foreign language, have been presented to various individuals. Following previous works, we defined an analysis window to determinate whether the language presented is understood or not. Within the analysis window, in the first phase, a couple of evoked potentials (ERPs) are expected, showing a positive discrimination of language, followed by fluctuations of ERPs in a second-phase window depending on subject intelligibility of the language presented.
YR 2022
FD 2022-09
LK https://hdl.handle.net/10630/29300
UL https://hdl.handle.net/10630/29300
LA spa
NO This work was funded by Junta de Andalucía: Proyectos de I+D+i en el ámbito del Plan Andaluz de Investigación, Desarrollo e Innovación (PAIDI 2020), under Project No. PY20 00237, and Programa Operativo FEDER Andalucía 2014-2020, under Project No. UMA18-FEDERJA-023. It has been possible under a grant from the program ”Ayuda de Iniciación y Transferencia”, Universidad de Málaga. It has been done within Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 3 mar 2026