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Un parche ultrasuave, transpirable y multicanal para la interfaz oído-ordenador

Ying Sun1, Weijia Liu2, Hao Zhang3

  • 1School of Interdisciplinary Science, Beijing Institute of Technology, Beijing 100081, China; State Key Laboratory of CNS/ATM, Beijing Institute of Technology, Beijing 100081, China.

Science bulletin
|January 21, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Un nuevo parche de interfaz oído-ordenador (ECI) ofrece una forma cómoda y no invasiva de controlar dispositivos con la actividad cerebral. Esta tecnología portátil logra una alta precisión en la monitorización de la fatiga y las tareas de interfaz cerebro-ordenador.

Palabras clave:
Interfaz cerebro-ordenadorInterfaz oído-ordenadorElectroencefalografíaMXeno Ti(3)C(2)T(x)Electrónica portátil

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Área de la Ciencia:

  • Neurociencia
  • Ingeniería Biomédica
  • Tecnología portátil

Sus antecedentes:

  • Las interfaces cerebro-ordenador (BCI) que utilizan gorras/bandas de EEG o implantes ofrecen un control avanzado hombre-máquina.
  • Las BCI no invasivas existentes a menudo requieren una aplicación de gel inconveniente y una fijación ajustada al cuero cabelludo.
  • Las BCI implantables, aunque efectivas, son invasivas y no son adecuadas para personas sanas.

Objetivo del estudio:

  • Desarrollar un novedoso parche de interfaz oído-ordenador (ECI) portátil y no invasivo para el control basado en la actividad cerebral.
  • Evaluar el rendimiento del parche ECI en la monitorización de la fatiga del usuario y la ejecución de tareas de BCI.
  • Demostrar la viabilidad del parche ECI para aplicaciones del mundo real, como el control de vehículos no tripulados.

Principales métodos:

  • Se fabricó un parche ECI de 8 canales utilizando electrodos de MXeno mediante un método de impresión por inyección directa sobre una película médica flexible.
  • Se evaluó la capacidad del parche ECI para monitorizar la fatiga a través de experimentos de inducción de fatiga.
  • Se evaluó el rendimiento en una tarea de BCI de potencial evocado visual de estado estable (SSVEP) de 4 objetivos a través de experimentos fuera de línea y en línea, incluido un control de ruta complejo.

Principales resultados:

  • El parche ECI demostró una adherencia y comodidad superiores en comparación con las gorras de EEG tradicionales.
  • La monitorización de la fatiga alcanzó una precisión de clasificación promedio del 90,5%.
  • Las tareas de BCI de SSVEP en línea mostraron una precisión promedio del 93,5%, comparable a las gorras de EEG comerciales.
  • El parche ECI controló con éxito un vehículo no tripulado en tareas complejas.

Conclusiones:

  • El parche ECI desarrollado proporciona una alternativa no invasiva cómoda y eficaz para la interfaz cerebro-ordenador.
  • El parche ECI muestra un potencial significativo para aplicaciones que requieren una monitorización y control fiables de la actividad cerebral.
  • Esta tecnología redefine la comodidad y la aplicabilidad de las BCI tanto para uso terapéutico como general.