| CPC A61B 5/7264 (2013.01) [G16H 50/20 (2018.01); A61B 5/0006 (2013.01); A61B 5/318 (2021.01)] | 12 Claims |
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1. A method of generating and processing analysis data regarding electrocardiogram signals of a target object, the method comprising:
receiving, by an electrocardiogram data processing server, an electrocardiogram signal of a target object;
receiving, by the electrocardiogram data processing server, a first classification data regarding the electrocardiogram signal of the target object, wherein the first classification data comprises labels classified according to pre-set category values with respect to the electrocardiogram signal of the target object, and wherein the receiving the first classification data further comprises dividing the electrocardiogram signal into a plurality of signal segments according to signal waveforms and setting each of the signal segments to one of the pre-set category values;
generating, by the electrocardiogram data processing server, statistical data based on a past medical history and symptom information at a time of measurement of the target object using the first classification data, wherein the statistical data includes pattern information regarding the electrocardiogram signal of the target object when the target object feels pain, frequencies of patterns occurring in the electrocardiogram signal, an occurrence period of the patterns, and data regarding the patterns per a predetermined unit period of the electrocardiogram signal, and wherein the symptom information at the time of measurement includes symptom detection information that is input by the target object, questionnaire data in communication with the target object, and past medical history information of the target object; and
generating, by the electrocardiogram data processing server, a second classification data based on the statistical data and the symptom information;
determining, by the electrocardiogram data processing server, a section of interest to be analyzed in the electrocardiogram signal based on the second classification data;
extracting, by the electrocardiogram data processing server, first target signal sections corresponding to the section of interest to be analyzed in the electrocardiogram signal;
calculating, by the electrocardiogram data processing server, an expected analysis time for the first target signal sections corresponding to the section of interest;
upon determination that the expected analysis time is equal to or greater than a pre-set reference value, repeating, by the electrocardiogram data processing server, the generating of the second classification data and the determining of the section of interest to be analyzed, by changing the statistical data and changing the symptom information in order to reduce the expected analysis time to be less than the pre-set reference value;
extracting, by the electrocardiogram data processing server, second target signal sections after the repeated generation of the second classification data and the repeated determination of the section of interest to be analyzed;
determining, by the electrocardiogram data processing server, that the expected analysis time of the second target signal section is less than the pre-set reference value; and
upon determination that the expected analysis time of the second target signal sections is less than the pre-set reference value, transmitting, by the electrocardiogram data processing server, to an external terminal, the second target signal sections and the expected analysis time thereof such that analyzing the second target signal sections is performed after the expected analysis time of the second target signal sections is determined to be less than the pre-set reference value.
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