REAL-TIME TIME SERIES MATRIX PATHOPHYSIOLOGIC PATTERN PROCESSOR AND QUALITY ASSESSMENT METHOD

摘要

A medical monitoring device for analysis of a set of physiologic and laboratory data and for providing a real time or near real time correlation metric for a distress condition is described herein. The medical monitoring device can include a memory storage that comprises a first set of definitions of rise and fall patterns of said physiologic and laboratory data, each of the rise and fall patterns being indicative of a physiological occurrence, a second set of definitions of time series matrix patterns of said rise and fall patterns, the time series matrix patterns being indicative of a distress condition, and a pre-determined correlation metric for each of at least a portion of the time series matrix patterns with reference to the distress condition. The medical monitoring device can also include a monitor to identify the time series matrix patterns in data in memory storage.

主权项

1. A medical monitoring device for analysis of a set of physiologic and laboratory data and for providing a real time or near real time correlation metric for a distress condition, comprising:
a memory storage that comprises; a first set of definitions of rise and fall patterns of said physiologic and laboratory data, each of the rise and fall patterns being indicative of a physiological occurrence, a second set of definitions of time series matrix patterns of said rise and fall patterns, the time series matrix patterns being indicative of a distress condition, a pre-determined correlation metric for each of at least a portion of the time series matrix patterns with reference to the distress condition; a monitor that; gathers said data and reads from the memory storage, identifies said time series matrix patterns of said data, determines the severity of the time series matrix patterns, identifies a value of said correlation metric for each of at least a portion of the time series matrix patterns, and a display processor that; provides at least one visual display comprising a time dimensioned output responsive to the severity of the time series matrix patterns in real-time or near real-time and a visual display responsive to the time series of maximum values of the correlation metric in real-time or near real-time.