Desarrollo de una herramienta software para la estimación del desempeño del sistema nervioso autónomo usando variabilidad del ritmo cardiaco, variabilidad del segmento QT y dispersión QT
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Universidad Industrial de Santander
Abstract
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La evaluación del estado del sistema nervioso autónomo (SNA) se puede realizar mediante la medición de la variabilidad de la frecuencia cardiaca, la variabilidad del segmento QT y la dispersión del segmento QT. En este trabajo se presenta la implementación de estas estimaciones mediante algoritmos basados en la transformadaWavelet y la estimación espectral de Yule-Walker. Registros electrocardiográfcos de 20 minutos de duración fueron evaluados, con 15 minutos tomados de forma continua. Parámetros de la fuctuación cardiaca fueron tomados de una población de 92 pacientes, quienes presentaron el primer accidente cerebrovascular y llevaron a cabo un protocolo de inclusión estricto para evaluar su variabilidad en la frecuencia cardiaca. Las pruebas estadísticas se realizaron para determinar la repetibilidad de las mediciones.
The evaluation of the Autonomic Nervous System (ANS) status can be performed by the measurement of the cardiac frequency variability, the variability of the QT segment and the dispersion of the QT segment. This paper presents the implementation of these estimations by means of Wavelet Transform-based algorithms and the Yule-Walker’s spectral estimation. Electrocardiographic records 20 minutes long were evaluated, having 15 minutes taken in a continuous way. Parameters of cardiac fuctuation were taken out from a population of 92 patients, who presented frst stroke and carried out with a strict inclusion protocol to evaluate their cardiac frequency variability. Statistical tests were performed to determine the repeatability of the measurements.
The evaluation of the Autonomic Nervous System (ANS) status can be performed by the measurement of the cardiac frequency variability, the variability of the QT segment and the dispersion of the QT segment. This paper presents the implementation of these estimations by means of Wavelet Transform-based algorithms and the Yule-Walker’s spectral estimation. Electrocardiographic records 20 minutes long were evaluated, having 15 minutes taken in a continuous way. Parameters of cardiac fuctuation were taken out from a population of 92 patients, who presented frst stroke and carried out with a strict inclusion protocol to evaluate their cardiac frequency variability. Statistical tests were performed to determine the repeatability of the measurements.
Keywords
Accidente cerebrovascular, sistema nervioso autónomo, variabilidad de la frecuencia cardíaca, espectro, equilibrio simpático-vagal, Stroke, autonomous nervous system, cardiac frequency variability, spectrum, vagal-sympathetic balance