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Method and apparatus for electrocardiogram recognition and specification

An electrocardiogram and equipment technology, applied in the fields of application, medical science, sensors, etc., can solve the problems of complex calculation of wavelet method, failure to meet the requirements of ECG feature recognition and pattern classification, limited parameters, etc.

Inactive Publication Date: 2008-09-24
董军 +1
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Problems solved by technology

Considering the test range and QRS wave detection results comprehensively, the threshold method and wavelet method are the best, but the calculation of wavelet method is complicated, and the parameters considered by the threshold method are relatively limited
In summary, there is currently no specific method that meets the requirements of actual ECG feature recognition and pattern classification

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  • Method and apparatus for electrocardiogram recognition and specification
  • Method and apparatus for electrocardiogram recognition and specification
  • Method and apparatus for electrocardiogram recognition and specification

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Embodiment Construction

[0053] Due to the huge calculation amount of the current algorithm, it cannot be applied on the device. Therefore, the present invention aims to fully pay attention to the doctor's thinking process and absorb the doctor's experience to find a solution in reducing the computational complexity.

[0054] In ECG, as far as the shape of QRS wave is concerned, there are more than 20 common types. The so-called different forms refer to the existence of different components in the QRS wave. For example, if the QRS wave only has a downward wave, it is called a QS wave; in addition, the same component will have different manifestations in different ECGs. In medicine, lowercase q, r, and s are usually used to represent QRS Components in the wave with relatively small amplitudes, such as figure 2 shown.

[0055] For example, for qRs, rS, and QRS notches (the so-called notch refers to the appearance of two or more turning points on the same side of the reference horizontal line in a wav...

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Abstract

The invention discloses a method which is used for the recognition and the classification of an ECG and a device thereof. The method and the device obtain a QRS wave group queue obtained by an ECG diagnostic instrument, thereby being capable of obtaining the starting point, the end point, the slope and the R wave position of each QRS wave, the amplitude and the direction of the Q wave, the R wave and the S wave, the interval of two adjacent R waves, the form model of the QRS wave and the incisure and the slurring of the QRS wave and so on. The invention also discloses a mode classification method which is used for the ECG diagnostic instrument and fully borrows ideas from the thought processes of experts. The invention is the method and the device which realize the effective characteristic recognition and the mode classification of the ECG by fewer operations.

Description

technical field [0001] The present invention relates to the field of electrocardiogram (ECG) diagnostic instruments, more specifically, to a feature recognition and pattern classification method and device for electrocardiogram (ECG) diagnostic instruments. Background technique [0002] The medical model of our society is undergoing profound changes. It needs to gradually transition from a medical model centered on large and traditional Chinese hospitals to an individual-centered, family-based, and community-based model that integrates medical treatment, prevention, and health care management. One, focusing on early diagnosis and treatment of health services, in order to improve the quality of life of the whole people and reduce unnecessary costs. The State Council's "Guiding Opinions on Developing Urban Community Health Services" proposed a blueprint to achieve "basic medical and public health services for everyone" by 2010. Therefore, the "wireless", "portable", and "home...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0452
Inventor 董军张嘉伟
Owner 董军
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