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Methods for monitoring and prognosis of clinical status of patients in acute phase of myocardial infarction for computer network based clinical decision support system

机译:基于计算机网络的临床决策支持系统监测和评估心肌梗死急性期患者临床状况的方法

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摘要

The methods for evaluation of crucial factors describing status of cardiologic patients in intensive care units based on advanced signal processing methods were incorporated into prototype network based clinical decision support system. The methods realize: (a) evaluation of heart rate variability in aim to predict clinical outcome; (b) evaluation of central hemodynamics in non-invasive way by means of chest impedance signal analysis; (c) automatic detection and evaluation of ECG T-wave alternans - predictor of sudden cardiac death. Modern standard monitoring equipment has connection to the computer network and possibility to transfer registered signals and clinical data what could be processed and evaluated with such clinical decision system. The remotely accessed methods of the system can significantly improve the quality of monitoring of patient status using standard equipment.
机译:基于原型信号处理方法的重症监护病房中描述心脏病患者状况的关键因素评估方法已纳入基于原型网络的临床决策支持系统。该方法实现:(a)评价心率变异性以预测临床结果; (b)通过胸部阻抗信号分析以无创方式评估中心血液动力学; (c)心电图T波交替蛋白的自动检测和评估-心脏猝死的预测因子。现代标准监控设备已连接到计算机网络,并有可能传输注册信号和临床数据,这些信号和临床数据可以用这种临床决策系统处理和评估。该系统的远程访问方法可以使用标准设备显着提高对患者状态的监视质量。

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