2026-05-28T06:23:35Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/369542026-02-03T11:36:57Zcom_10630_2254col_10630_20092

EEG Database for language detection. Ariza Cervera, Isaac Barbancho-Pérez, Ana María Tardón-García, Lorenzo José Barbancho-Pérez, Isabel Electroencefalografía Estimulación cerebral Lenguaje This database is made up of EEG signals from 6 subjects listening to sentences in different languages and their answers to the questions: have you understood the meaning of the sentence?. The languages chosen are: english, german, italian, korean and spanish. These signals have been captured with the BrainVision actiCHAMP-PLUS system and consist of a total of 64 EEG channels. The BrainVision Recorder software was used to store the signals. The stimulus presentation software used to design the experiment is Eprime 3. For more detailed information on this database, the capture system used and its applications, see [1]. If these data are used for any publication, the following paper must be cited: [1] Isaac Ariza, Ana M. Barbancho, Lorenzo J. Tardón, Isabel Barbancho, Energy-based features and bi-LSTM neural network for EEG-based music and voice classification. Neural Comput & Applic 36, 791–802 (2024). https://doi.org/10.1007/s00521-023-09061-3 2025-01-24T13:33:20Z 2025-01-24T13:33:20Z 2024 2025-01-24 dataset https://hdl.handle.net/10630/36954 10.24310/riuma.36954 eng Isaac Ariza, Ana M. Barbancho, Lorenzo J. Tardón, Isabel Barbancho, Energy-based features and bi-LSTM neural network for EEG-based music and voice classification. Neural Comput & Applic 36, 791–802 (2024). https://doi.org/10.1007/s00521-023-09061-3 http://creativecommons.org/licenses/by-nc/4.0/ open access Attribution-NonCommercial 4.0 Internacional Universidad de Málaga