Dynamic electrocardiogram data analysis method
A dynamic electrocardiogram and ECG data technology, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve problems such as analysis system feedback errors, long-term data recording, variation, etc., to avoid feedback errors and fast calculation and analysis process Effect
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[0032] In order to clearly illustrate the technical features of this solution, the present invention will be described in detail below through specific implementation modes.
[0033] A dynamic electrocardiogram data analysis method, characterized in that: the steps include:
[0034] (1) QRS waveform recognition: filter the collected ECG raw data, the filtered data is the ECG data to be analyzed, and calculate the amplitude threshold while performing differential calculation on the data to be analyzed, according to different sampling rates The difference formula with different coefficients:
[0035] Center difference integer coefficient N=Sampling Rate(Hz)*0.01;
[0036] Difference ΔX i =(-1*N*X i-N )+(-1*(N-1)*X i-N-1 )+...+0*X i +...+(N-1)*X i+N-1 +N*X i+N ;
[0037] When ΔX i-1 *ΔX i+1 When i-1 >ΔX i+1, then the inflection point is a positive wave, otherwise it is a negative wave; to obtain the amplitude threshold of the ECG data to be analyzed, first count the po...
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