Electrocardiosignal identification method based on generative adversarial networks and convolution recurrent neural networks
A technology of ECG signal and identification method, which is applied in medical science, diagnosis, diagnostic recording/measurement, etc., can solve the problems of data set sample imbalance, sample imbalance, etc., achieve reliable assistance and reference, improve accuracy, and accurately rate-boosting effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0048] Exemplary embodiments, features, and aspects of the present invention will be described in detail below with reference to the accompanying drawings. The same reference numbers in the figures indicate functionally identical or similar elements. While various aspects of the embodiments are shown in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
[0049] Specifically, the present invention provides a single-lead ECG abnormal signal recognition method based on generative confrontation network and convolutional cyclic neural network, taking the kaggle data set as an example, such as figure 1 As shown, it includes the following steps:
[0050] Step 1: Denoising of data; before and after denoising figure 2 As shown, the ECG signal is a kind of bioelectrical signal collected from the human body surface, which has the common characteristics of bioelectrical signals: weak amplitude, low frequency, large impedance, randomness, etc. Most...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com