A computer-readable storage medium for atrial fibrillation signal recognition
A storage medium and signal recognition technology, applied in the field of data processing, can solve problems such as poor discrimination of atrial fibrillation and unfavorable real-time diagnosis
Active Publication Date: 2021-04-20
SOUTHEAST UNIV +1
View PDF13 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0003] Although the existing AF detection method based on the RR interval has a high degree of discrimination for sinus rhythm, due to individual differences and various diseases, the RR interval may be irregular to varying degrees, resulting in atrial fibrillation. Fibrillation is poorly differentiated in arrhythmia data
Existing methods mostly use statistical distribution and entropy information to measure irregularities, and the calculation of characteristics often requires long-range data from theory, which is not conducive to real-time diagnosis requirements
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0030] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:
[0031] Such as figure 1 As shown, the present invention provides a method for atrial fibrillation discrimination, comprising the following steps:
[0032] Step 1. Locate the waveform feature points according to the original multi-lead ECG data, give the R wave position and the morphological classification of the QRS complex, judge the ventricular beat and supraventricular beat, and generate signs with ventricular beat and supraventricular beat The R wave position information data;
[0033] Step 2, generating the supraventricular RR interval for the R wave position information data mainly composed of supraventricular beats;
[0034] Step 3: Measure the geometric distribution characteristics of the Lorenz scatter diagram of the supraventricular RR interval, and generate three kinds of characteristic data: aggregation measurement index, diagonal are...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a method for distinguishing atrial fibrillation, which comprises the following steps: locating waveform feature points on original ECG data, giving R wave position and morphological classification of QRS complex waves, and performing 50 or more consecutive supraventricular beats From the geometric distribution characteristics of the Lorenz scatter diagram, three kinds of characteristic data are generated: aggregation measure, diagonal area dominance measure, and off-diagonal area linear correlation measure; comprehensive Characteristic data, according to the threshold method to give the judgment of whether atrial fibrillation occurs. This method is based on the geometric distribution characteristics of the Lorenz scatter diagram of the ventricular RR interval to identify atrial fibrillation, which can effectively assist doctors in the identification.
Description
technical field [0001] The invention relates to a computer-readable storage medium for identifying atrial fibrillation signals, in particular to an automatic identification method for atrial fibrillation in electrocardiogram (ECG) data for identifying whether atrial fibrillation occurs in electrocardiogram data, and belongs to the technical field of data processing . Background technique [0002] Because rapid atrial fibrillation can induce ventricular tachycardia and ventricular fibrillation, which can cause hemodynamic disturbance, and chronic atrial fibrillation can cause tachycardia, which can lead to heart organic disease, and complications such as thrombosis and other serious harmful consequences, it is necessary to treat atrial fibrillation non-invasively. Simple and easy judgment method. From the perspective of the generated physiological mechanism, the ECG signal of atrial fibrillation is a variable arrhythmia signal composed of continuous multiple sub-waves caused...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/361
CPCA61B5/361
Inventor 王丽艳董卓冉徐拥军
Owner SOUTHEAST UNIV