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Dynamic electrocardiogram analysis method for intelligently selecting leads

A dynamic electrocardiogram and analysis method technology, applied in medical science, telemetry patient monitoring, sensors, etc., can solve the problems of inaccurate analysis and low efficiency, and achieve the effect of improving analysis efficiency, efficiency and analysis accuracy.

Inactive Publication Date: 2018-11-20
希蓝科技(北京)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a dynamic electrocardiogram analysis method for intelligently selecting leads, which can automatically identify the time when the user puts on and takes off the leads, obtain the starting and ending points of valid data, and intelligently select the optimal lead combination to solve the current problems. The problem of inaccurate analysis and low efficiency caused by the fixed number of default leads during dynamic electrocardiogram analysis

Method used

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  • Dynamic electrocardiogram analysis method for intelligently selecting leads
  • Dynamic electrocardiogram analysis method for intelligently selecting leads
  • Dynamic electrocardiogram analysis method for intelligently selecting leads

Examples

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Embodiment 1

[0022] refer to figure 1 , a kind of dynamic electrocardiogram analysis method for intelligently selecting leads disclosed in this embodiment includes: reading the dynamic electrocardiogram data captured by a multi-lead dynamic electrocardiogram detection device, and sending it to a processor; The electrocardiogram data is converted once to generate a unified data format; the unified format of the electrocardiogram data is filtered once to remove high-frequency interference, low-frequency interference, and baseline drift interference; heartbeat recognition and detection is performed on the filtered dynamic electrocardiogram data to identify each guide Classify the heartbeat information of each lead; use the trained interference recognition model to classify the heartbeat information of each lead for a second time, and mark whether the recognized heartbeat is interference; and select a group according to the obtained heartbeat information data The three-lead lead group was used...

Embodiment 2

[0033] refer to figure 1, a kind of dynamic electrocardiogram analysis method for intelligently selecting leads disclosed in this embodiment includes: reading the dynamic electrocardiogram data captured by a multi-lead dynamic electrocardiogram detection device, and sending it to a processor; The electrocardiogram data is converted once to generate a unified data format; the unified format of the electrocardiogram data is filtered once to remove high-frequency interference, low-frequency interference, and baseline drift interference; heartbeat recognition and detection is performed on the filtered dynamic electrocardiogram data to identify each guide Classify the heartbeat information of each lead; use the trained interference recognition model to classify the heartbeat information of each lead for a second time, and mark whether the recognized heartbeat is interference; and select a group according to the obtained heartbeat information data The three-lead lead group was used ...

Embodiment 3

[0047] refer to figure 1 , a kind of dynamic electrocardiogram analysis method for intelligently selecting leads disclosed in this embodiment includes: reading the dynamic electrocardiogram data captured by a multi-lead dynamic electrocardiogram detection device, and sending it to a processor; The electrocardiogram data is converted once to generate a unified data format; the unified format of the electrocardiogram data is filtered once to remove high-frequency interference, low-frequency interference, and baseline drift interference; heartbeat recognition and detection is performed on the filtered dynamic electrocardiogram data to identify each guide Classify the heartbeat information of each lead; use the trained interference recognition model to classify the heartbeat information of each lead for a second time, and mark whether the recognized heartbeat is interference; and select a group according to the obtained heartbeat information data The three-lead lead group was used...

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Abstract

The invention discloses a dynamic electrocardiogram analysis method for intelligently selecting leads, and relates to the field of dynamic electrocardiogram analysis. Invalid data of a Holter wearingand picking-off part is automatically cut off through clutter identification, interference caused by unstable wearing is eliminated, a starting point and an ending point for analyzing electrocardiogram data are automatically generated, the time for doctors to manually find and then analyze an effective data starting point and an effective data ending point is saved, and the efficiency is greatly improved. The leads with large errors are low accuracy are screened out through heart beat RR variances of the leads, the optimal analysis lead set is selected in the remaining leads according to the signal amplitude, the analysis accuracy is improved, the situation that the doctors reselect the leads again for analysis is reduced, and the analysis efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of dynamic electrocardiogram analysis, in particular to a dynamic electrocardiogram analysis method for intelligently selecting leads. Background technique [0002] At present, when Holter software analyzes 12 or 18-lead data, the electrocardiographer needs to read the ECG first, find out the position when the patient puts on and takes off the lead, and sets it as the start point and end point before analysis. By default, the software selects one to three fixed leads for analysis. When the signal of the default lead is not good, a lot of heartbeat data will be missed, resulting in inaccurate analysis results; when the doctor thinks there is a problem with the default lead, it will be reassembled Lead analysis. The 24-hour dynamic electrocardiogram data is very large, and the analysis time is very long. It takes a long time to analyze or re-analyze after selecting the start and end points, and the efficiency...

Claims

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Application Information

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IPC IPC(8): A61B5/0402A61B5/00
CPCA61B5/0006A61B5/7203A61B5/7225A61B5/7264A61B5/316A61B5/318
Inventor 曲仕辉李强罗逸飞穆峰肖汉张晓欣
Owner 希蓝科技(北京)有限公司
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