首页> 外国专利> PATTERN RECOGNITION SYSTEM FOR CLASSIFYING THE FUNCTIONAL STATUS PATIENTS WITH CHRONIC HEART, LUNG, AND PULMONARY VASCULAR DISEASES

PATTERN RECOGNITION SYSTEM FOR CLASSIFYING THE FUNCTIONAL STATUS PATIENTS WITH CHRONIC HEART, LUNG, AND PULMONARY VASCULAR DISEASES

机译:模式识别系统,用于对慢性心,肺和肺血管疾病的功能状态患者进行分类

摘要

Systems and methods for evaluating patients are provided. An example includes receiving first cardiopulmonary exercise test data for the patient and plotting a first vector based on the first cardiopulmonary exercise test data, the first vector including a first point based on a rest value and a second point based on an exercise value. A first coordinate value of the first point and a first coordinate value of the second point may be based on mixed expired CO2 (PECO2) and a second coordinate value of the first point and a second coordinate value of the second point may be based on end tidal CO2 (PetCO2). The example may also include plotting a midpoint of the first vector and triggering display of the plotted vector and plotted midpoint. The plotted vector and plotted midpoint may be displayed over a coordinate grid having multiple physiological condition zones.
机译:提供了用于评估患者的系统和方法。一个示例包括:接收患者的第一心肺运动测试数据,并基于第一心肺运动测试数据绘制第一矢量,第一矢量包括基于静止值的第一点和基于运动值的第二点。第一点的第一坐标值和第二点的第一坐标值可以基于混合的过期的CO 2 (PECO 2 )和第二点的第二坐标值。第一点和第二点的第二坐标值可以基于潮气末CO 2 (PetCO 2 )。该示例还可以包括绘制第一矢量的中点并触发显示绘制的矢量和绘制的中点。绘制的矢量和绘制的中点可以显示在具有多个生理状况区域的坐标网格上。

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