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Electrocardiogram waveform classification method and device

A classification method and ECG technology, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve problems such as inaccurate ECG waveform classification, and achieve the effect of improving work efficiency and reducing workload

Active Publication Date: 2015-05-06
北京世纪今科医疗器械有限公司
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Problems solved by technology

[0007] The purpose of the present invention is to provide a method and device for classifying ECG waveforms, which can better solve the problem of inaccurate classification of ECG waveforms in the prior art

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  • Electrocardiogram waveform classification method and device
  • Electrocardiogram waveform classification method and device
  • Electrocardiogram waveform classification method and device

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Embodiment Construction

[0067] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described below are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0068] The present invention can carry out secondary waveform classification and analysis on electrocardiogram, especially can reclassify QRS waveform (i.e. ECG waveform) digital signal of complex arrhythmia in dynamic or conventional electrocardiogram analysis technology, which can digitize cardiac electrical signal processing to realize rapid classification and modification of ECG waveforms. The principle is: display the marked ECG waveform in dot-like graphics (common ECGs are graphs drawn with lines), and then use the R wave of the waveform as the axis to superimpose all the heartbeats in a template. In this way, the clustered wave group is generated....

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Abstract

The invention discloses an electrocardiogram waveform classification method and device, and relates to the field of medical analysis software. The method comprises the following steps: acquiring and storing electrocardiogram data of a human body for 24 hours; performing waveform analysis on the electrocardiogram data to obtain electrocardiogram waveform corresponding to each heart beat in 24 hours; moving the electrocardiogram waveforms corresponding to the various heart beats to a preset longitudinal reference shaft, and superposing by taking the longitudinal reference shaft as a reference to form a cluster shape waveform; classifying the electrocardiogram waveforms according to the waveform shape of the cluster shape waveform to obtain different types of electrocardiogram waveforms. According to the method and the device, the electrocardiogram waveforms can be quickly and accurately classified.

Description

technical field [0001] The invention relates to the field of medical analysis software, in particular to a method for classifying electrocardiographic waveforms and related devices. Background technique [0002] In the electrical signal function detection equipment of the heart, the software for analyzing the ECG data of 3-lead or 12-lead for 24 hours is called HOLTER analysis system for short. This type of analysis system first uses the hardware recording device to record the patient's 24-hour ECG signal, and then connects the recording device to the USB interface of the computer to play back the 24-hour digital ECG signal of 3 leads or 12 leads in the recording device to the hard disk of the computer, and then use the special software for analyzing ECG data installed on the computer to analyze and classify the 24-hour digital ECG signal. This process requires accurate waveforms of every heartbeat in the data. It is marked out, referred to as QRS mark for short, and then a...

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Application Information

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IPC IPC(8): A61B5/0452
CPCA61B5/7264A61B5/349A61B5/366
Inventor 卢喜烈
Owner 北京世纪今科医疗器械有限公司
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