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Physiological parameter processing method and device and medical equipment

A technology of physiological parameters and processing methods, applied in the field of biomedical signal processing, can solve problems such as large amount of data, interference with heartbeat detection, arrhythmia identification, long acquisition time, etc., and achieve the effect of improving accuracy

Pending Publication Date: 2021-11-30
EDAN INSTR
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, there are still many challenges in the automatic analysis and detection of cardiac arrhythmia in ambulatory ECG
The Holter acquisition time is long, and the user can carry out daily activities. In this way, the signal is susceptible to noise such as motion artifacts, baseline drift, and power frequency interference. Especially motion artifacts can interfere with heartbeat detection and arrhythmia identification , and the amount of data is large, the analysis time is long
In addition, the waveform of ventricular arrhythmia is complex and changeable, and there are individual differences

Method used

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  • Physiological parameter processing method and device and medical equipment
  • Physiological parameter processing method and device and medical equipment
  • Physiological parameter processing method and device and medical equipment

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Embodiment Construction

[0023] In order to enable those skilled in the art to better understand the technical solution of the present application, the technical solution of the present application will be further described in detail below in conjunction with the drawings and specific embodiments.

[0024] Such as figure 1 Shown is a flow chart of the physiological parameter processing method of the embodiment of the present application. The method may be performed by a medical device, wherein the physiological parameters include heart rate data. The medical device can be a device with a dynamic ECG collection function, such as a holter, a wearable dynamic ECG recorder, etc., or it can be a separate data processing device, such as a mobile terminal such as a mobile phone, a computer, etc. The method includes the following steps :

[0025] Step 110: Obtain dynamic electrocardiogram data and perform preprocessing on the dynamic electrocardiogram data.

[0026] The dynamic ECG data can be collected by...

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Abstract

The invention provides a physiological parameter processing method which comprises the following steps: detecting preprocessed dynamic electrocardiogram data to obtain heart beat in the data; performing clustering analysis on all the heart beats by using template matching to obtain a clustering result; and performing artifact detection on the clustering result, determining to-be-classified heart beats, and classifying the to-be-classified heart beats by using a neural network. The invention further provides a corresponding device and a medical equipment. According to the invention, the accuracy of heart rhythm classification can be effectively improved.

Description

technical field [0001] The disclosed embodiments of the present application relate to the technical field of biomedical signal processing, and more specifically, relate to a physiological parameter processing method, device and medical equipment. Background technique [0002] The detection method of arrhythmia is usually an electrocardiogram, and then the situation of arrhythmia is artificially diagnosed according to the electrocardiogram. [0003] However, Holter still has many challenges in terms of automatic analysis and detection of arrhythmia. The Holter acquisition time is long, and the user can carry out daily activities. In this way, the signal is easily affected by noise such as motion artifacts, baseline drift, and power frequency interference. In particular, motion artifacts can interfere with heartbeat detection and arrhythmia identification , and the amount of data is large, and the analysis time is long. In addition, the waveform of ventricular arrhythmia is ...

Claims

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Application Information

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IPC IPC(8): A61B5/024A61B5/0245A61B5/349A61B5/355A61B5/352A61B5/366A61B5/00
CPCA61B5/02405A61B5/0245A61B5/7246A61B5/7264
Inventor 李兴美周峰
Owner EDAN INSTR
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