| 摘要 |
A cardiac catheter continuously monitors cardiac output within an artery. One temperature sensor measures native blood temperature within the artery, while another temperature sensor measures the temperature of a thermal coil which is in thermal contact with the blood stream. The temperature signals are provided as inputs to a monitoring system which includes isolators, filters, and data processing circuits. A temperature difference signal over time is generated between the native blood temperature and the thermal coil temperature. First and second derivatives are taken of the temperature difference signal and selected features are extracted from the three waveforms. The extracted features are used as to calculate cardiac output. In the present case, a neural network processor is utilized to provide accurate cardiac output measurements based upon the extracted features.
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