Video Experimental Relacionado

Updated: Mar 1, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

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Un novedoso algoritmo de filtro de Kalman extendido adaptativo impulsado por un modelo de mezcla gaussiana

Yingbin Liu1, Yi Zheng2, Longxi Li3

  • 1Huazhong University of Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.

Physiological measurement
|February 27, 2026
PubMed
Resumen

Este estudio presenta un algoritmo de filtro de Kalman extendido adaptativo (AEKF) para la detección precisa de eventos de aórtica (AO) y cierre de la válvula aórtica (AC) en señales de sismocardiografía (SCG). El novedoso método mejora la monitorización de enfermedades cardiovasculares analizando con precisión los datos de SCG, incluso durante el ejercicio.

Palabras clave:
Filtro de Kalman extendido adaptativoModelo de mezcla gaussianaProcesamiento de SCGCaracterísticas de la distribución conjunta tiempo-frecuencia

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