Characterization of Electroencephalography (EEG) Responses to Musical Stimuli

Angelica Maria Rojas Tocora, Oliver Muller, Alvaro D. Orjuela-Canon, Victor A. Ortiz

Producción científica: Capítulo en Libro/InformeContribución a la conferencia

Resumen

This study investigates the effects of different musical genres on electroencephalographic (EEG) responses in healthy subjects. The EEG technique was analyzed for five different music styles, such as classical, rock, jazz, vallenato, and urban, and in this way, to determine the influence in brainwave patterns. For instance, classical music was linked to alpha brainwave patterns associated with relaxation, while genres like rock and reggaeton are associated with beta patterns, indicating of concentration and mental activity. The study also explores how intrinsic factors such as musical lyrics and individual differences like musical training and preferences impact brain activity. Findings suggest that music can evoke strong emotional responses and activate different brain regions depending on the genre and individual factors. This complexity underscores the importance of considering personal and cultural aspects in understanding the neural dynamics of musical experiences.

Idioma originalInglés estadounidense
Título de la publicación alojada2024 3rd International Congress of Biomedical Engineering and Bioengineering, CIIBBI 2024
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9798331532352
DOI
EstadoPublicada - 2024
Evento3rd International Congress of Biomedical Engineering and Bioengineering, CIIBBI 2024 - Cali, Colombia
Duración: nov. 6 2024nov. 8 2024

Serie de la publicación

Nombre2024 3rd International Congress of Biomedical Engineering and Bioengineering, CIIBBI 2024

Conferencia

Conferencia3rd International Congress of Biomedical Engineering and Bioengineering, CIIBBI 2024
País/TerritorioColombia
CiudadCali
Período11/6/2411/8/24

Áreas temáticas de ASJC Scopus

  • Ortopedia y medicina del deporte
  • Bioingeniería
  • Ingeniería biomédica
  • Tecnología de medios

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