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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
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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
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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.
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