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Method and equipment for identification and classification of electrocardiogram

An electrocardiogram and equipment technology, applied in the fields of application, medical science, sensors, etc., can solve the problems of limited parameters, failure to meet the requirements of ECG feature recognition and pattern classification, and complex calculation of wavelet method, so as to achieve small workload and high diagnosis of arrhythmia The effect of accuracy

Inactive Publication Date: 2010-07-07
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 equipment for identification and classification of electrocardiogram
  • Method and equipment for identification and classification of electrocardiogram
  • Method and equipment for identification and classification of electrocardiogram

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Embodiment Construction

[0061] 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.

[0062] In ECG, there are more than 20 common QRS wave patterns. The so-called different morphological patterns refer to the existence of different components in the QRS wave. For example, the QRS wave only has a downward wave, so it is called a QS wave; in addition, the same component will have different manifestations in different ECGs. In medicine, the QRS wave group has Q, R, S, and R' and S' wavelets, which may or may not be present in a QRS complex, and the wavelet types are distinguished according to the amplitude of each wavelet, usually with lowercase q, r, s, r', and s' Indicates a relatively small amplitude component in the QRS wave, such as Figure 2a to Figure 2j As shown,...

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Abstract

The invention discloses a method and equipment for identification and classification of an electrocardiogram, which identifies a QRS wave configuration pattern to obtain the configuration characteristics of P waves, T waves and QRS waves by calculation of time-domain characteristics, configuration extraction pretreatment and point calculation of QRS wave configuration characteristics. The technical scheme of the invention fully uses the identification process of ECG configuration characteristics from thinking and experience of doctors to realize the effect using small amount of work to achieve a high diagnostic accuracy of cardiac arrhythmia and provides a good base for the application of an ECG diagnostic apparatus.

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 the Development of Urban Community Health Services" proposed a blueprint to achieve "basic medical and public health services for everyone" by 2010. Therefore, the "wireless", "portable", a...

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Application Information

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IPC IPC(8): A61B5/0452
Inventor 董军张嘉伟
Owner 董军
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