Electrocardio automatic diagnosis method based on intelligent simulation modeling

An automatic diagnosis and simulation modeling technology, which is applied in diagnosis, diagnosis record/measurement, medical science, etc., can solve the problems of easy omission and labor cost, and achieve the effects of improving recognition, reducing the burden on doctors, and high interpretability

Pending Publication Date: 2021-08-31
ZHENGZHOU UNIV +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technology allows for automated interpretation by physicians who are trained through simulations that mimic how they see things like cardiac problems or symptoms from people being tested during clinics testing. These models help healthcare professionals better understand what makes them feel sick faster than usual without having their hands busy doing other tasks such as analyzing data collected over time.

Problems solved by technology

The technical problem addressed in this patented text relates to identifying potential dangerous conditions that may occur during long periods after taking measurements made through traditional methods like chest X ray photography. This can be difficult due to lack of sufficient training and knowledge about how well pacing systems work.

Method used

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  • Electrocardio automatic diagnosis method based on intelligent simulation modeling
  • Electrocardio automatic diagnosis method based on intelligent simulation modeling
  • Electrocardio automatic diagnosis method based on intelligent simulation modeling

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Embodiment Construction

[0030] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them.

[0031] A kind of electrocardiographic automatic diagnosis method based on intelligent simulation modeling, described electrocardiographic automatic diagnosis method comprises the following steps:

[0032] S1. Preprocessing of ECG signals, using a fast planting filter with a window length of 0.5*sr+1 to remove the baseline offset, where sr is the sampling rate, and using fast wavelet transform to remove high-frequency noise;

[0033] S2. Waveform positioning, based on the wavelet transform automatic detection ECG waveform algorithm, respectively for the QRS start point, end point, the start point, end point and peak value of P wave and T wave, the position of the three peaks of Q wave,...

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Abstract

The invention provides an electrocardio automatic diagnosis method based on intelligent simulation modeling, and the method comprises the following steps: S1, carrying out the preprocessing of electrocardio signasl, employing a fast planting filter with a window length of 0.5*sr+1 to remove baseline offset, employing the sr as a sampling rate, and employing fast wavelet transform to remove high-frequency noise; S2, waveform positioning: respectively positioning the starting point and the ending point of a QRS, the starting points, the ending points and the peak values of a P wave and a T wave, and the positions of three wave crests of a Q wave, an R wave and an S wave based on a full-automatic electrocardiograph waveform detection algorithm of wavelet transformation, and unifying the number of cardiac beats of each lead according to a lead II; and when the starting point and the end point of the QRS are positioned, carrying out secondary high-frequency noise removal processing on the electrocardio signals; S3, feature extraction: extracting related features required by electrocardio diagnosis; and S4, electrocardio diagnosis: converting diagnosis thinking of a doctor into electrocardiogram feature description by using a rule method so as to diagnose electrocardio diseases; the obtained aluminum alloy base material has good conductivity.

Description

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Claims

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Application Information

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Owner ZHENGZHOU UNIV
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