2026-06-01T02:05:54Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/293002026-02-03T11:47:27Zcom_10630_2254col_10630_37959
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Guillén, Sergio
author
Tardón-García, Lorenzo José
author
Barbancho-Pérez, Ana María
author
De Torres García, Irene
author
Barbancho-Pérez, Isabel
2024-01-26T11:34:02Z
2024-01-26T11:34:02Z
2022-09
https://hdl.handle.net/10630/29300
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.
spa
Atribución 4.0 Internacional
Lenguaje - Congresos
EEG Signal Analysis for the Detection of Spoken Language Comprehension
conference output
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URL
https://riuma.uma.es/bitstreams/17b65059-37b7-4c5d-9359-b3f3980a071a/download
File
MD5
3f7d1ccd2d64541e58da8df0a8d7b439
2052754
application/pdf
URSI_2022_EEG_Spoken_Comprehension_v4.pdf