Automatic ECG diagnostic system and device for premature beats

An automatic diagnosis, cardiac technology, applied in the direction of diagnosis, diagnosis recording/measurement, medical science, etc., can solve the problem that the accuracy of premature heart beat needs to be improved, etc.

Inactive Publication Date: 2019-01-15
HARBIN UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the current electrocardiographic analysis or diagnosis device is available, the accuracy

Method used

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  • Automatic ECG diagnostic system and device for premature beats
  • Automatic ECG diagnostic system and device for premature beats
  • Automatic ECG diagnostic system and device for premature beats

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Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0055] Specific implementation mode one: combine figure 1 To describe this embodiment,

[0056] ECG automatic diagnosis system for premature heart beats, including:

[0057] The ECG signal coarse-graining module is used to construct the collected ECG signal into an ECG signal time series, and coarse-grain the ECG signal time series according to the set time scale factor τ; ECG represents an electrocardiogram;

[0058] The signal sample entropy module is used to calculate the sample entropy of each group of coarse-grained ECG signal time series, and extract the feature vector;

[0059] The classifier module resamples the feature vector sample set obtained by the signal sample entropy module to obtain resampled samples to form a random forest classifier.

[0060] The forest classifier is a tool for electrocardiogram analysis, collects ECG signals collected in real time, classifies them through the classifier, and transmits the classification results to the display device for d...

specific Embodiment approach 2

[0062] The specific working process of the ECG signal coarse-grained module described in this embodiment is as follows:

[0063] The ECG signal time series is recorded as x'(k'), k'=1, 2,...,N', and the coarse graining is obtained by calculating the average value of i' elements in x'(k') which are continuous but not overlapping The elements of the time series are

[0064]

[0065] Among them, N' is the number of time series elements; j' is the count subscript, which corresponds to the serial number of the elements of the coarse-grained time series;

[0066] Calculate the coarse-grained time series at different scales according to different time scale factors τ Coarse-grained time series The length of is N′ / τ.

[0067] Other program modules are the same as those in the first embodiment.

specific Embodiment approach 3

[0068] The ECG signal coarse-grained module in this embodiment sets the ECG signal length and scale factor before constructing the coarse-grained ECG time series, and then constructs time series at different scales.

[0069] Other program modules are the same as in the second embodiment.

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Abstract

The invention elates to an ECG analysis system and a device and particularly relates to an ECG automatic diagnosis system and a device for cardiac premature beat. In order to solve the problem that the accuracy of automatic diagnosis and analysis of premature beats still needs to be improved. The system of the invention comprises an ECG signal coarsening module, which is used for constructing thecollected ECG signal into an ECG signal time series, and coarsening the ECG signal time series according to a set time scale factor tau; a signal sample entropy module used for calculating the sampleentropy of each group of coarse-grained ECG signal time series and extracting the feature vector; a classifier module which resamples the eigenvector sample set obtained by the signal sample entropy module, obtains resampled samples, and constitutes a random forest classifier. The system and device are used for ECG analysis.

Description

technical field [0001] The invention relates to the field of electrocardiogram analysis, in particular to an ECG analysis system and device. Background technique [0002] Electrocardiograph (ECG) is a graphical record of the electrical activity of the heart through skin electrodes, which can reflect the basic functions of the heart and disease characteristics, and has important reference value for clinical cardiovascular diagnosis. The normal ECG signal is a low-frequency periodic non-stationary signal. Once the heart is diseased or functionally degenerated, it will directly lead to time-frequency changes of the ECG signal. With the continuous development of medical technology, clinical medicine has an increasing demand for the accuracy and real-time performance of automatic diagnosis results of ECG monitoring equipment, which has attracted the attention of experts in related fields. Therefore, as an important tool for auxiliary diagnosis in cardiovascular medicine, the res...

Claims

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Application Information

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IPC IPC(8): A61B5/0402
CPCA61B5/7264A61B5/318
Inventor 陈寅生姜苗苗
Owner HARBIN UNIV OF SCI & TECH
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