| 摘要 |
The present invention makes a diagnosis of a patient by detecting changes in the state of the patient appearing in an electrocardiogram from a variation in characteristic quantities repeatedly appearing in the electrocardiogram, for example, an R-R interval in an early stage and reliably. The ordinary distribution calculation section 3 receives the electrocardiogram data measured for a period INT1, calculates characteristic quantities repeatedly appearing in the electrocardiogram as time-series data and generates a set C of differences between neighboring elements of the time-series data. The ordinary distribution calculation section 3 further obtains m subsets by repeating m times the processing of randomly collecting n elements from this set C, and calculates an average value a and standard deviation 6 of the set of average values of these m subsets by assuming that the set of average values has normal distribution indicating the ordinary state of the variations in the characteristic quantities. The state detection section 4 calculates a diagnostic set CT from the electrocardiogram data for a period shorter than the period INT1 in the same way as for the above-described set C, and the diagnosis section 5 compares the difference between the average value of this set CT and the average value of the ordinary distribution with the standard deviation 6 and makes a diagnosis. <IMAGE>
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