首页> 外文会议>Signal Processing and Communications Applications Conference, 2009. SIU 2009 >Prediction of pharmacologically induced baroreflex sensitivity from noninvasive baroreflex, heart rate and systolic blood pressure variability indices
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Prediction of pharmacologically induced baroreflex sensitivity from noninvasive baroreflex, heart rate and systolic blood pressure variability indices

机译:从无创压力反射,心率和收缩压变异性指数预测药理学诱导的压力反射敏感性

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Assessment of baroreflex sensitivity (BRS) using vasoactive drugs is widely accepted in clinical research. It has been reported that decrease in BRS is an indicative of increased risk of sudden cardiac death. Due to its clinical importance, alternative baroreflex assessment methods have been developed which eliminate use of drugs and since then they are called non-invasive methods. In this study BRS index obtained by drug based assessment was predicted from subset of noninvasive BRS indices extracted from heart rate and systolic pressure time series. A leave one out method was employed to search subset of indices which gives the highest correlation with invasive and predicted BRS. Two predictors provided the highest correlation (0.87). The algorithm selected consistently normalized cross-power in Mayer frequency band and average magnitude square coherence in high frequency band as predictors for all 16 subjects.
机译:使用血管活性药物评估压力反射敏感性(BRS)在临床研究中已被广泛接受。据报道,BRS的降低表明心脏猝死的风险增加。由于其临床重要性,已经开发了替代的压力反射评估方法,该方法消除了药物的使用,从那时起,它们被称为非侵入性方法。在本研究中,通过基于心率和收缩压时间序列的非侵入性BRS指数的子集预测了通过药物评估获得的BRS指数。采用留一法搜索索引的子集,该子集与侵入性和预测的BRS的相关性最高。两个预测因子提供最高的相关性(0.87)。该算法选择了Mayer频带中的一致归一化交叉功率和高频带中的平均幅度平方相干作为所有16个对象的预测指标。

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