A Classification Method of Vector Cardiogram Based on Nonlinear Dynamic Features
A technology of nonlinear dynamics and ECG vector diagram, applied in the field of pattern recognition, can solve the problem of not extracting the electrodynamic characteristics of the electrocardiogram, and achieve good classification effect and high accuracy
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[0116] Such as figure 1 As shown, it is a flow chart of the vector cardiogram classification method based on nonlinear dynamic characteristics in an embodiment of the present invention, including the following steps:
[0117] Step 1 Obtaining the ECG vector diagram: In order to make the research results true and reliable and to verify its better effect, the data set is PTB provided by (https: / / www.physionet.org / cgi-bin / atm / ATM) Diagnostic ECG Database database. The ECG is obtained through the Frank three-lead system, such as Figure 2a Shown is a Frank three-lead electrocardiogram of a patient with myocardial infarction, such as Figure 2b is the patient's ECG vector Figure three Dimensional visualization display schematic diagram, such as Figure 2c Shown is the Frank three-lead electrocardiogram of a normal person, such as Figure 2d is the person's ECG vector Figure three Dimensional visualization shows schematic diagrams.
[0118] Step 2 Data preprocessing: Media...
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