SIGNAL PROCESSING/AUTOMATION FOR CARDIAC OUTPUT MONITOR

热稀释是迄今为止最常用的测量心脏的方法。 输出.超过一百万个热稀释肺动脉导管 我们已经将人工神经网络应用于 提高热稀释心输出量测量的准确性 并允许使用小注射体积（2ml）。我们建议建立一个 使用改进的注射泵和固态注射物的自动化系统 每分钟自动测量一次心输出量。最近 所引入的设备使该测量自动化，并提供连续的 然而，这些设备需要特殊的导管， 每位患者195.00美元，需要较长的平均时间（10分钟）。我们 系统将实现相同的精度和实时数据使用标准 每名患者40.00美元的导管费用。我们在五个实验室里测试了这项技术 并发现该系统能够使心输出量 仅使用2ml注射液体积进行测量。小容量技术 给出的测量精度与使用 在广泛的心输出量范围内，10 ml冷冻注射液的标准。我们 计划建立一个原型自动化系统，并在10只动物身上进行测试。 使用自动化系统进行动物试验的误差小于12%， 考虑到成功。

Thermal dilution is by far the most common method of measuring cardiac output. Over one million thermodilution pulmonary artery catheters are used each year in the U.S. We have applied artificial neural networks to improve the accuracy of the thermal dilution cardiac output measurement and allow using small injectate volumes (2 ml). We propose to build an automated system using a modified syringe pump and a solid state injectate cooler to automatically measure cardiac output once every minute. Recently introduced devices automate this measurement and provide continuous measurement, however, these devices require special catheters costing $195.00 per patient and require long averaging periods (10 min.). Our system would achieve the same accuracy and real-time data using a standard catheter costing $40.00 per patient. We have tested the technique in five animals and have found the system capable of making cardiac output measurements using only 2 ml injectate volumes. The small volume technique gave measurements with accuracy similar to those obtained using the standard of 10 ml iced injectate over wide range of cardiac outputs. We plan to build a proto-type automated system and test it in 10 animals. Less than 12% errors in animal tests using the automated system will be considered success.