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Clasificación del sonido de los ronquidos en pacientes con estenosis cerebrovascular basada en un modelo ConvNeXt

Caijian Hua¹, Zhihui Liu¹, Liuying Li²

¹School of Computer Science and Engineering, Sichuan University of Science and Engineering, Yibin, China.

Frontiers in physiology

|December 12, 2025

Resumen

Este estudio presenta un método novedoso de clasificación de ronquidos que utiliza convolución dinámica y mecanismos de atención. El método distingue con precisión entre ronquidos normales y anormales, identificando marcadores acústicos relacionados con la estenosis cerebrovascular en pacientes con apnea obstructiva del sueño.

Sus antecedentes:

Los ronquidos son un síntoma clave de la apnea obstructiva del sueño (AOS) y están relacionados con el riesgo de enfermedad cerebrovascular.
La investigación existente sobre la detección de ronquidos se centra principalmente en pacientes con síndrome de apnea-hipopnea obstructiva del sueño (SAHOS) sin enfermedad cerebrovascular.
Existe la necesidad de comprender las diferencias acústicas en los ronquidos entre pacientes con y sin estenosis cerebrovascular.

Conclusiones:

El método desarrollado muestra una alta eficacia en la clasificación de ronquidos.
El estudio proporciona evidencia inicial de características acústicas que diferencian los ronquidos en pacientes con y sin estenosis cerebrovascular.
Esta investigación abre vías para el análisis acústico no invasivo en el diagnóstico y manejo de pacientes con SAHOS y afecciones cerebrovasculares.

Palabras clave:

ConvNeXt características acústicas mecanismos de atención estenosis cerebrovascular convolución dinámica clasificación de sonido de ronquidos

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