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Electrocardiosignal monitoring method, system and device and medium

An ECG signal and signal technology, applied in the directions of diagnostic recording/measurement, medical science, sensors, etc., can solve the problems of inability to realize offline processing, high cost, complicated operation and maintenance work, etc., to achieve lightweight, cost saving, performance high effect

Active Publication Date: 2021-03-09
GENERAL HOSPITAL OF SOUTHERN THEATRE COMMAND OF PLA
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

However, the existing classification and prediction methods based on ECG signals cannot perform data processing in real time. If real-time processing of signals is required, the computing resources of the cloud or server are needed; the existing classification and prediction methods cannot realize offline processing, and use large models , the operation and maintenance work is complicated and the cost is high

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  • Electrocardiosignal monitoring method, system and device and medium
  • Electrocardiosignal monitoring method, system and device and medium
  • Electrocardiosignal monitoring method, system and device and medium

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Embodiment Construction

[0048] Embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention. For the step numbers in the following embodiments, it is only set for the convenience of illustration and description, and the order between the steps is not limited in any way. The execution order of each step in the embodiments can be adapted according to the understanding of those skilled in the art sexual adjustment.

[0049] First of all, explain the main technical terms involved in this plan, and other non-main technical terms will be explained for the first time in the text and will not be listed here:

[0050] Electroca...

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Abstract

The invention provides an electrocardiosignal monitoring method, system and device and a medium. The electrocardiosignal monitoring method comprises the steps of obtaining an electrocardiosignal sample, carrying out segmentation according to the electrocardiosignal sample, and obtaining an electrocardiogram signal sample and cardiac impulse cycle features; carrying out wavelet transformation according to the electrocardiogram sample signal to obtain wavelet features; inputting the electrocardiogram signal sample, the cardiac impulse cycle features and the wavelet features into a first model toobtain an arrhythmia category; inputting the electrocardiogram signal sample, the cardiac impulse cycle features and the wavelet features into a second model to obtain a prediction data array; and performing visual display in combination with the arrhythmia category and the prediction data array. Compared with the existing ECG signal classification prediction method, the novel architecture constructed by wavelet transform and two learning models provided by the invention has higher performance, realizes light weight of the model, can realize offline processing, saves a large amount of cost, and can be widely applied to the technical field of signal analysis and processing.

Description

technical field [0001] The invention belongs to the technical field of signal analysis and processing, in particular to a monitoring method, system, device and medium of electrocardiographic signals. Background technique [0002] Electrocardiogram (ECG) is a technology that uses an electrocardiogram machine to record the electrical activity change pattern generated by each cardiac cycle of the heart from the body surface. The ECG signal has a stable characteristic, and in the prior art, there are a large number of cases where arrhythmia and other abnormal ECG signals are performed based on the ECG signal. However, the existing classification and prediction methods based on ECG signals cannot perform data processing in real time. If real-time processing of signals is required, the computing resources of the cloud or server are needed; the existing classification and prediction methods cannot realize offline processing, and use large models , the operation and maintenance wor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/318A61B5/346A61B5/00A61B5/366
CPCA61B5/7267A61B5/7253A61B5/7235A61B5/7203A61B5/725
Inventor 徐琳李爽姜文才秦长瑜陈梅香阮征
Owner GENERAL HOSPITAL OF SOUTHERN THEATRE COMMAND OF PLA
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