Análisis del filtrado de señales ECG mediante filtro UFIR con ponderación de pesos
DOI:
https://doi.org/10.61117/ipsumtec.v7i2.325Palabras clave:
ECG, Estimación de señales, Fitlro Savitzky-Golay, Filtro suavizador, RMSE, UFIRResumen
El electrocardiograma (ECG) desempeña un papel fundamental en el diagnóstico de enfermedades cardíacas, siendo estas una de las principales causas de mortalidad a nivel mundial. En las últimas décadas, se han desarrollado diversas técnicas para el procesamiento de señales de ECG, destacando la eliminación de ruido como un factor crucial para mejorar la extracción de características. Sin embargo, alcanzar una precisión aún mayor sigue siendo un desafío persistente. En este estudio, presentamos un enfoque innovador que utiliza un filtro de respuesta a impulsos finitos (UFIR) ponderado e insesgado. Bajo condiciones de ruido y evaluando el error cuadrático medio (RMSE) y la relación señal-ruido (SNR), nuestro método propuesto muestra un rendimiento notable en comparación con el filtro Savitzky-Golay (SG) ponderado. Este trabajo contribuye al avance continuo en el procesamiento de señales de ECG, brindando el potencial para una detección más precisa y confiable de enfermedades cardíacas.
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Derechos de autor 2024 Victor Manuel Jiménez Ramos, Floriberto Canseco de la Rosa, Roberto Tamar Castellanos Baltazar, César Hernández Sanchez, Carlos Mauricio Lastre Domínguez
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
