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Electrocardiosignal processing method and electrocardiosignal processing system

An electrocardiographic signal and processing method technology, applied in the field of data processing, can solve the problems of high complexity and low robustness of classification and identification technology, and achieve the effects of reducing product cost, low hardware requirements, and solving errors

Active Publication Date: 2014-03-05
SHENZHEN INST OF ADVANCED TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] An embodiment of the present invention is to provide a method for processing ECG signals to solve the problems of high complexity and low robustness of existing ECG signal classification and recognition technologies based on artificial neural networks

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  • Electrocardiosignal processing method and electrocardiosignal processing system
  • Electrocardiosignal processing method and electrocardiosignal processing system
  • Electrocardiosignal processing method and electrocardiosignal processing system

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Embodiment 1

[0027] figure 1 The implementation flow of the ECG signal processing method provided by the first embodiment is shown, and the process of the method is described in detail as follows:

[0028] In step S101, ECG signals are collected.

[0029] Preferably, single-lead electrocardiographic signals are collected, and electrocardiographic signals of different objects and different time periods can be collected. In this embodiment, a single-lead ECG signal is used as a data source, which avoids the cumbersome acquisition of twelve-lead ECG signals. Moreover, since it is only necessary to collect single-lead ECG signals, it can be collected with convenient home equipment, and is no longer limited to existing ECG data that can only be collected by standard 12-lead ECG collection equipment used in hospitals, expanding the scope of The range of applications has stronger ease of use and practicality.

[0030] In step S102, the collected ECG signal is preprocessed.

[0031] Specifical...

Embodiment 2

[0052] Figure 5 The composition structure of the ECG signal processing system provided by the second embodiment of the present invention is shown, and for the convenience of description, only the parts related to the embodiment of the present invention are shown.

[0053]The ECG signal processing system can be applied to various data processing terminals, such as pocket computers (Pocket Personal Computer, PPC), palmtop computers, computers, notebook computers, personal digital assistants (Personal Digital Assistant, PDA), etc., can be run on The software unit, hardware unit or combination of software and hardware in these terminals can also be integrated into these terminals as an independent pendant or run in the application systems of these terminals.

[0054] The ECG signal processing system includes an information collection unit 51 , a preprocessing unit 52 , a normalization processing unit 53 , a fitting unit 54 and a classification recognition unit 55 . Among them, t...

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Abstract

The invention provides an electrocardiosignal processing method and an electrocardiosignal processing system which are applicable to the technical field of data processing. The electrocardiosignal method includes: collecting electrocardiosignals; preprocessing collected electrocardiosignals; disintegrating preprocessed electrocardiosignals into single-cycled electrocardiosignal groups and subjecting each single-cycled electrocardiosignal in the single-cycled electrocardiosignal groups to normalization processing; performing the single-cycled electrocardiosignal subjected to the normalization processing to polynomial fitting to acquire fitting parameters; allowing pre-established disaggregated models to perform classification and identification on the electrocardiosignals according to the fitting parameters to acquire identification results. The polynomial fitting parameters adopted as feature vectors of electrocardiosignal classification are better in robustness, and errors brought by baseline drift of the electrocardiosignals and heart rate variation can be effectively avoided through the normalization processing performed on the single-circled electrocardiosignals.

Description

technical field [0001] The invention belongs to the technical field of data processing, and in particular relates to a method and system for processing electrocardiographic signals. Background technique [0002] The ECG signal is one of the important bioelectrical signals of the human body. It reflects the working state of the heart and reliable internal characteristic information from different levels. Through the classification and recognition of the ECG signal, it is convenient to quickly diagnose heart diseases. [0003] Currently, artificial neural network methods are mainly used for the classification and recognition of ECG signals. The artificial neural network method needs to establish a corresponding mathematical model to classify and recognize ECG signals by imitating the learning process of the human brain, which has high complexity and low robustness. Contents of the invention [0004] An embodiment of the present invention provides a method for processing ele...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0402
Inventor 周丰丰刘记奎赵苗苗罗幼喜
Owner SHENZHEN INST OF ADVANCED TECH
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