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Electrocardiosignal quality evaluation method and device based on high-dimensional fuzzy recognition

A quality assessment, fuzzy identification technology, used in diagnostic recording/measurement, medical science, sensors, etc.

Active Publication Date: 2012-06-27
济南汇医融工科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

For a specific signal, it may contain many factors that affect the quality, how to classify it into a category that is more similar to it, the previous processing method is difficult to do this

Method used

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  • Electrocardiosignal quality evaluation method and device based on high-dimensional fuzzy recognition
  • Electrocardiosignal quality evaluation method and device based on high-dimensional fuzzy recognition
  • Electrocardiosignal quality evaluation method and device based on high-dimensional fuzzy recognition

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Embodiment Construction

[0057] First, the ECG data to be analyzed enters the ECG signal quality evaluation device based on high-dimensional pattern fuzzy recognition through the input module 2. Here, the ECG data to be analyzed can be ECG signals collected in real time from the human body. Acquisition unit 2.1 collects, and after conditioning and sampling by analog signal conditioning unit 2.2 and analog-to-digital conversion unit 2.3, it becomes a digital signal and enters subsequent analysis; it can also be directly read and stored in various types of storage such as disk, CD, flash memory, etc. The digital signal in the medium is read by the digital signal input unit 2.4 for subsequent analysis.

[0058] Afterwards, the queue temporary storage module 3 obtains the analysis data x(n) with a length of N from the data starting point position in the input module 2, and enters the digital signal conditioning module 4 to perform baseline removal and noise removal to obtain the sequence y(n). Dimensional...

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Abstract

The invention provides an electrocardiosignal quality evaluation method and device based on high-dimensional fuzzy recognition. The electrocardiosignal quality evaluation method and device can obtain high-dimensional pattern characteristic sets that describe the electrocardiosignal quality from different angles, the high-dimensional pattern characteristic sets comprise a time-domain characteristic subset, a frequency domain characteristic subset, a multi-scale domain characteristic subset and a nonlinear analysis characteristic subset, each subset comprises a plurality of different quantification indexes, and then electrocardiosignals that are described by the high-dimensional pattern characteristic sets are mapped into different characteristic zones through a competing network with fuzzyclustering features, so that the classification of the electrocardiosignal quality level is obtained.

Description

technical field [0001] The invention relates to a method and device for evaluating the quality of electrocardiographic signals, and relates to the field of intelligent medical instruments. Background technique [0002] ECG signal is a commonly used method for clinical cardiac function detection. With the advancement of medical technology, a large number of various ECG monitoring devices have poured into the market. The technical basis of these monitoring devices is the automatic analysis of ECG signals. The ECG signal is a weak signal in the background of strong noise. The influence of noise on the shape and composition of the signal will seriously interfere with the identification of signal features and category identification. Signal features are the basis for automatic analysis. Due to noise, ECG signal quality problems caused by artifacts, motion interference, and other pathological features are important factors that affect the accuracy of signal feature extraction. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0472A61B5/0452A61B5/366
Inventor 杨静李鹏王启斌杨磊李斌张明车文彪刘澄玉刘常春
Owner 济南汇医融工科技有限公司
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