RT Generic
T1 Complete E-Prime experiment, including code and media files, to perform synchronized EEG data recordings according to the experiment and descriptions in ‘Neural processing of Musical Mode through EEG signals’.
A1 Tardón-García, Lorenzo José
A1 Guillén, Sergio
A1 Barbancho-Pérez, Ana María
A1 Barbancho-Pérez, Isabel
K1 Electroencefalografía
K1 Procesado de señales
K1 Música
AB Complete E-Prime experiment, including code and media files, suitable to perform synchronized EEG data recordings according to the experiment and descriptions in: "Neural processing of Musical Mode through EEG signals" are provided here.In this manuscript, the usage of electroencephalography (EEG) signals for musical mode detection is explored. To this end, pianist’s EEG signals while playing different scales in two modes (major and minor) are recorded. Then the signals are processed to extract energy-related features employed to train, and test Machine Learning (ML) and Neural Network (NN) models for the classification of musical mode. The tests reveal that Wide Neural Network achieved the highest accuracy, reaching up to 98% in both intra- and inter-subject scenarios regardless participant’s handedness. Beta and gamma bands, showed to encompass musical mode processing information similarly to theta and alpha bands, in the schemes considered. Scalp power distribution of subjects showed predominant activity over frontal and parieto-occipital regions, with central region playing a key role in musical mode processing despite its lower power values.
PB Grupo de Aplicación de las Tecnologías de la Información y Comunicaciones (ATIC)
YR 2024
FD 2024
LK https://hdl.handle.net/10630/30438
UL https://hdl.handle.net/10630/30438
LA eng
NO Complete E-Prime experiment, including code and media files, suitable to perform synchronized EEG data recordings according to the experiment and descriptions in: "Neural processing of Musical Mode through EEG signals" are provided here.
NO This publication is part of project PID2021-123207NB-I00, funded by MCIN/AEI/10.13039/501100011033/FEDER, UE. This work was done at Universidad de Málaga, Campus de Excelencia Internacional Andalucia Tech. Funding for open access charge: Universidad de Málaga/CBUA.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 23 ene 2026