本文以心音特征为基础，实现了连续的左心室收缩压预测。通过对 3 只比格犬进行实验，以肾上腺素诱发心脏血流动力学发生变化，然后同步采集实验犬的心音、心电、左心室血压等信号，共获取了 28 组有效数据。通过提取心音特征，借助人工神经网络实现了反推左心室收缩血压，获得了较好的预测效果。本研究在较大的血压动态变化范围内，得到了绝对误差均值仅为 7.3 mm Hg、预测血压与测量血压的平均相关系数为 0.92 的实验结果。研究结果显示，本文所述方法有助于实现无创的左心室血流动力的连续监测
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