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Clasificación del balance postural mediante aprendizaje automático en adultos jóvenes durante estimulación vestibular
Negar Rahimi1, Vassilia Hatzitaki2, Alireza Kamankesh1
1Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA.
Resumen
La adición de ruido óptimo a través de la estimulación vestibular galvánica ruidosa (nGVS) mejora la detección del control postural. El aprendizaje automático identificó con precisión distintos patrones de centro de presión, revelando influencias específicas de la condición en la dinámica del equilibrio.
Área de la Ciencia:
- Neurociencia
- Ingeniería Biomédica
- Fisiología Humana
Sus antecedentes:
- La teoría de la resonancia estocástica (SR) postula que el ruido puede amplificar señales débiles.
- La estimulación vestibular galvánica ruidosa (nGVS) es una técnica emergente para investigar el sistema sensorial.
- La comprensión de los efectos de la nGVS en el control postural es crucial para posibles aplicaciones terapéuticas.
Objetivo del estudio:
- Analizar cómo la nGVS influye en el control postural en adultos sanos.
- Determinar si el aprendizaje automático puede diferenciar las respuestas posturales a parámetros variables de nGVS.
- Investigar la presencia de fenómenos de resonancia estocástica en el control postural.
Principales métodos:
- Análisis secundario de datos de centro de presión (CoP) de adultos jóvenes de pie con los ojos cerrados.
- Se utilizó un clasificador k-vecinos más cercanos (KNN) sobre características de CoP en el dominio del tiempo y tiempo-frecuencia.
- Se evaluó la precisión de la clasificación en diferentes intensidades de nGVS y tipos de ruido (Rosa, Blanco).
Principales resultados:
- La precisión de la clasificación superó el 96%, distinguiendo patrones distintos de centro de presión (CoP) bajo diversas condiciones de nGVS.
- El modelo de aprendizaje automático identificó con éxito a los participantes que exhibían una respuesta de resonancia estocástica (SR) a la nGVS.
- La explicación aditiva de Shapley (SHAP) reveló una mayor importancia de las características para la estimulación con ruido blanco.
Conclusiones:
- La nGVS modula sistemáticamente la dinámica del control postural.
- El aprendizaje automático proporciona una herramienta eficaz para capturar los efectos específicos de la condición de la nGVS en el equilibrio.
- Estos hallazgos respaldan la aplicación de los principios de SR para comprender y mejorar potencialmente el control sensoriomotor.
Palabras clave:
ruido coloreadotransformada de onda continuaalgoritmo k-vecinos más cercanosexplicación aditiva de Shapleypostura de pieresonancia estocásticaestimulación vestibularMás Videos Relacionados
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