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1611results about How to "Rapid diagnosis" patented technology

Depression evaluating system and method based on heart rate variability analytical method

The invention discloses a depression evaluating system and method based on a heart rate variability analytical method, particularly a depression evaluating system and method in a perinatal period. The depression evaluating system comprises a data storage module used for storing electrocardio and pulse wave signals, a peak detecting module used for acquiring a peak point sequence of recording data, a data correcting module used for acquiring sinus beat NN interval sequence, a heart rate variability curve acquiring module used for acquiring a heart rate variability curve, an HRV analyzing module conducting time domain analysis, frequency domain analysis and nonlinear analysis, a feature parameter selecting module used for selecting a feature parameter from HRV parameters, a modeling module used for obtaining a perinatal period depression classification model, and a model applying module used for inputting the data of a testee into the classification module to obtain a depression degree. By means of the depression evaluating system and method based on the heart rate variability analytical method, degree quantitative evaluation of perinatal period depression is achieved, a scientific research method of the depression based on the technical field of physiological information examination is enriched, a test is simple and practicable, medical resources can be effectively saved, and good clinical practicality is achieved.
Owner:SOUTH CHINA UNIV OF TECH +1

IT (information technology) fault source diagnosis method and IT fault source diagnosis system

Disclosed are an IT (information technology) fault source diagnosis method and an IT fault source diagnosis system. The method includes predefining a performance index model of an IT system; collecting performance data in the performance index model and generating performance index values; calculating an average performance value of the performance index values; judging whether the difference of a performance index value monitored at a certain time point and a predefined index value or the average performance value is larger than a preset threshold value or not, if yes, defining the performance index value at the time point as an abnormal event of performance indexes and defining multiple abnormal events occurring at a same time point as an abnormal event set; utilizing an association rule FP-tree frequency set algorithm to calculate the association relationship among the multiple abnormal events in the abnormal event set, and generating an association rule characteristic model; analyzing whether the abnormal events, occurring at the same time point, in the association rule characteristic model are caused by an IT fault source or not, if yes, defining the association rule characteristic model as a characteristic model of the IT fault source; matching the performance indexes collected in real time during operation of the IT system with the abnormal event sets in the characteristic model.
Owner:BANK OF COMMUNICATIONS
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