首页> 外国专利> PROCEDURES AND DEVICE FOR IDENTIFYING THE QUALITY OF MECHANICAL PATIENT-FAN INTERACTION BASED ON RECURRENCE QUANTIFICATION ANALYSIS OR RECURRENCE CHARTS

PROCEDURES AND DEVICE FOR IDENTIFYING THE QUALITY OF MECHANICAL PATIENT-FAN INTERACTION BASED ON RECURRENCE QUANTIFICATION ANALYSIS OR RECURRENCE CHARTS

机译:基于递归量化分析或递延图表确定机械耐力风扇相互作用质量的程序和装置

摘要

processes and device for identifying the quality of mechanical patient-ventilator interaction based on recurrence quantification analysis or recurrence graphs. The present patent application describes methods and a device capable of identifying the quality of mechanical patient-ventilator (pvi) interaction based on recurrence quantification analysis (aqr) and recurrence graphs (gr). The proposed technology uses the signal representing the respiratory flow provided in mechanical ventilation equipment to form a time series of the respiratory flow containing the data necessary for the application of the grs and aqr techniques, which includes recurrence rate and entropy calculations. shannon, resulting in a process that makes it possible to identify pvi quality and monitor mechanical ventilation performance. technology identifies pvi quality by associating it with predefined clinical scenarios. The advance provided by technology is to identify the quality of pvi without the need for invasive techniques quickly and easily due to the data compression provided by the technique used (aqr / gr). The technology applies in the context of invasive mechanical ventilation in intensive care units and centers and in the medical-hospital equipment industry.
机译:用于基于复发量化分析或复发图来识别患者与呼吸机之间机械相互作用质量的方法和装置。本专利申请描述了能够基于复发量化分析(aqr)和复发图(gr)来识别机械式患者-呼吸机(pvi)相互作用的质量的方法和装置。所提出的技术使用代表机械通风设备中提供的呼吸流的信号来形成呼吸流的时间序列,该时间序列包含应用grs和aqr技术所需的数据,包括重复率和熵计算。香农,从而可以识别pvi质量并监控机械通风性能。技术通过将pvi质量与预定义的临床方案相关联来识别pvi质量。由于所用技术提供的数据压缩(aqr / gr),技术的进步是无需快速,轻松地识别侵入性病毒(pvi)的质量。该技术适用于重症监护病房和中心以及医疗医院设备行业中的有创机械通气。

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