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Electrocardio data analysis method and device, electrocardio analysis meter and storage medium

A technology of electrocardiographic data and analysis methods, applied in the field of data analysis, can solve problems such as large time consumption and low processing efficiency

Active Publication Date: 2019-11-01
迪姆软件(北京)有限公司 +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Because the dynamic electrocardiogram monitors the massive ECG data of the human body for a long time, most current dynamic ECG analysis systems use the anti-aliasing analysis method to analyze the massive ECG data. However, when clinicians use the existing analysis methods for analysis, they will Consumes a lot of time and has low processing efficiency

Method used

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  • Electrocardio data analysis method and device, electrocardio analysis meter and storage medium
  • Electrocardio data analysis method and device, electrocardio analysis meter and storage medium
  • Electrocardio data analysis method and device, electrocardio analysis meter and storage medium

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Embodiment 1

[0043] An embodiment of the present invention provides a method for analyzing ECG data, figure 1 A flow chart of a method for analyzing electrocardiographic data proposed by an embodiment of the present invention, such as figure 1 As shown, in an embodiment of the present invention, the ECG data analysis method may include the following steps:

[0044] S101. Obtain ECG data of a monitoring object.

[0045] In the embodiment of the present invention, the ECG analyzer collects the ECG data of the monitoring object through ECG leads. The electrocardiographic data reflect the electrical activity changes produced by the heart of the monitored object (such as a patient) in each cardiac cycle, where a cardiac cycle is a heartbeat.

[0046] In addition, in the embodiment of the present invention, the ECG data of the monitored object may be acquired within a period of time, which may be one hour or 24 hours a day, which is not limited in the embodiment of the present invention. Exem...

Embodiment 2

[0082] Based on the same inventive concept of the first embodiment above, this embodiment provides an electrocardiographic data analysis method, which improves the efficiency of electrocardiographic data analysis based on batch processing of multiple heartbeats. Figure 6 A flow chart of multi-heartbeat batch processing provided by the embodiment of the present invention, such as Figure 6 As shown, the method includes:

[0083] S201. Obtain ECG data of a monitoring object.

[0084] S202. Determine target electrocardiographic data including a plurality of target heartbeats according to the electrocardiographic data.

[0085] In the embodiment of the present invention, after the ECG analyzer obtains the ECG data of the monitoring object, target ECG data including multiple target heartbeats can be determined according to the ECG data. In the embodiment of the present invention, the R wave of the collected ECG data is taken as an example. After the ECG analyzer acquires the EC...

Embodiment 3

[0131] Based on the same inventive concept of the first and second embodiments above, this embodiment provides a method for analyzing electrocardiographic data, which is based on performing zoom processing on heartbeat characteristic data containing multiple target heartbeats. Figure 10 A flow chart for zooming processing of heartbeat characteristic data based on multiple heartbeats provided by an embodiment of the present invention, as shown in Figure 10 As shown, the method includes:

[0132] S301. Obtain ECG data of a monitoring object.

[0133] S302. Determine target electrocardiographic data including a plurality of target heartbeats according to the electrocardiographic data.

[0134] S303. According to the target electrocardiographic data and the electrocardiographic data, acquire heartbeat feature data including multiple target heartbeats; the heartbeat feature data represent features that are correlated with the target electrocardiographic data of the multiple targ...

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Abstract

The embodiment of the invention discloses an electrocardio data analysis method. The electrocardio data analysis method comprises the following steps of obtaining electrocardio data of a monitored target; according to the electrocardio data, determining target electrocardio data comprising a plurality of target heart beats; according to the target electrocardio data and the electrocardio data, obtaining heart beat feature data containing the target heart beats, wherein the heart beat feature data represent features having relevance with the target electrocardio data of the target heart beats;and presenting the heart beat feature data containing the target heart beats. The embodiment of the invention also discloses an electrocardio data analysis device, an electrocardio analysis meter anda storage medium.

Description

technical field [0001] The invention relates to the technical field of data analysis, in particular to an electrocardiogram data analysis method and device, an electrocardiogram analyzer, and a storage medium. Background technique [0002] The dynamic electrocardiogram is a method that can continuously record the changes of the ECG data of the human heart in the active and quiet state for a long time. This technology was first used by Holter in the study of monitoring the electrical activity of the heart in 1947, so it is also called Holter monitoring electrocardiograph, and it has become one of the important diagnostic methods for non-invasive examination in clinical cardiovascular field. [0003] Because the dynamic electrocardiogram monitors the massive ECG data of the human body for a long time, most current dynamic ECG analysis systems use the anti-aliasing analysis method to analyze the massive ECG data. However, when clinicians use the existing analysis methods for an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0402
CPCA61B5/316A61B5/318
Inventor 方宇
Owner 迪姆软件(北京)有限公司
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