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Indirect Measurement of Arterial Pressure by Means of Heart Rate Variability Signals

机译:通过心率变化信号间接测量动脉压力

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The article tests possibility of the indirect arterial pressure measurement by means of heart rate variability features. DEAP computational network was used as a tool for genetic programming for symbolic regression. Preliminary results have shown that on the one hand, the error of arterial pressure prediction is rather high. On the other hand, heart rate variability features can be used to predict change of the arterial pressure with relatively low error. Perspectives and future plans were described.
机译:该物品通过心率可变性特征测试间接动脉压测量的可能性。 DEAP计算网络被用作象征性回归的遗传编程工具。初步结果表明,一方面,动脉压预测的误差相当高。另一方面,心率变异性特征可用于预测动脉压的变化,误差相对较低。描述了观点和未来的计划。

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