| 摘要 |
PURPOSE:To discriminate the sudden fluctuation of time series data in advance especially when an integral value exceeds a prescribed threshold value by dividing a frequency band included in target time series data, and applying MEM (maximum entropy method) analysis to the integral value by calculating the integrated value at every prescribed unit time in every frequency band. CONSTITUTION:The time series data is an electrocardiogram inputted from an electrocardiograph 11, which analyzes the rhythmical fluctuation of a gap(RR gap) between an apex R to the next apex R. A frequency division processing part 15 divides the frequency band into an appropriate number by receiving the analysis result of a first MEM processing part 12. Integral value analysis can be executed on the small area of RR data one after another by integrating each frequency band by an integral value calculation part 16, and analyzing a result again by a second MEM processing part 18, then, integral value data can be obtained at every area. The data is inputted to a threshold value discrimination part 20, and it is discriminated whether or not each integral value exceeds the prescribed threshold value. When the former exceeds the latter, an alarm representing the fact that abnormality occurs in the whole heartbeat rhythm(RR gap) is issued in advance. |
