Linear reconstruction method of standard number 12 lead electrocardiogram segments based on self-adaptive electrocardiosignal region segmentation

An ECG signal and region segmentation technology, applied in the field of signal processing, can solve the problems of inability to achieve both speed and accuracy, achieve the effect of both speed and accuracy, reduce requirements, and improve reconstruction accuracy

Active Publication Date: 2018-01-23
ZHEJIANG UNIV
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Problems solved by technology

[0007] In order to overcome the inadequacy of the prior art that cannot have the characteristics of rapidity and accuracy, the present invention pro...

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  • Linear reconstruction method of standard number 12 lead electrocardiogram segments based on self-adaptive electrocardiosignal region segmentation
  • Linear reconstruction method of standard number 12 lead electrocardiogram segments based on self-adaptive electrocardiosignal region segmentation
  • Linear reconstruction method of standard number 12 lead electrocardiogram segments based on self-adaptive electrocardiosignal region segmentation

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Embodiment Construction

[0032] The present invention will be further described below in conjunction with the accompanying drawings.

[0033] refer to Figure 1 ~ Figure 3 , a standard 12-lead ECG segmental linear reconstruction method based on adaptive ECG signal region segmentation, the m lead subset T used for reconstruction is denoted as T={L 1 , L 2 ,...,L m}, m=3,4,…,7, the 2 leads in T are randomly selected from limb leads I, II, III, and the remaining (m-2) leads in T are selected from chest leads V1, V2 , V3, V4, V5, randomly selected in V6, the reconstruction method includes the following steps:

[0034] a) Adaptive ECG signal region segmentation

[0035] First, the standard 12-lead ECG signal is adaptively partitioned. According to the fluctuation characteristics of the ECG signal and different cardiac stages, it is divided into the head and tail area, ST-T area, R-P area and QRS area. Among them, the head and tail area contains the ECG signal with incomplete period in the signal head...

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Abstract

The invention discloses a linear reconstruction method of standard number 12 lead electrocardiogram segments based on self-adaptive electrocardiosignal region segmentation. The method comprises the following steps of self-adaptive electrocardiosignal region segmentation, wherein standard number 12 lead electrocardiosignals are subjected to self-adaptive segmentation, and according to wave characteristics of the electrocardiosignals and different heartbeat stages, the standard number 12 lead electrocardiosignals are divided into a head and tail segment, an ST-T segment, an R-P segment and a QRSsegment; linear regression training and reconstruction, wherein a least squares criterion is used for conducting linear modeling and linear reconstruction on an existing electrocardio sample; sub region electrocardio deserialization, wherein due to the fact that signals to be reconstructed are subjected to linear reconstruction respectively after electrocardiosignal region segmentation, the reconstructed electrocardio sub region sequences need to be restored to common sequential electrocardio signals. The linear reconstruction method of the standard number 12 lead electrocardiogram segments based on self-adaptive electrocardiosignal region segmentation is fast and accurate.

Description

technical field [0001] The invention belongs to the field of signal processing, and more specifically relates to a method related to lead reconstruction of human electrocardiogram signals. Background technique [0002] In recent years, the electrocardiogram (ECG) has gradually become one of the most commonly used means of diagnosing heart disease. Studies have pointed out that a variety of heart diseases, including cardiac arrest, are more likely to show specific symptoms before the onset, and last for more than 15 minutes. Some of these symptoms can be detected from the waveform characteristics of the ECG, therefore, long-term continuous ECG monitoring is required to make an effective early warning of sudden cardiac disease. However, the traditional Holter monitoring machine brings a lot of inconvenience to the life of the carrier and the collection of ECG due to its large size and easy introduction of wire interference. At present, wearable ECG monitoring equipment has g...

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Application Information

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IPC IPC(8): A61B5/0402A61B5/0452A61B5/04
Inventor 潘赟朱怀宇俞毕洪杨哲韦笠陈佳平
Owner ZHEJIANG UNIV
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