Methods and systems for disease analysis based on transformations of diagnostic signals

Active Publication Date: 2017-05-09
BIOCARDIO LLC
View PDF1 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0008]The present invention provides methods and systems of using wavelet transform to process ECG signals of patients and reference ECG signals in a dual-track architecture to identify cardiovascular conditions of the patients. The reference ECG signals are compiled from previously studied subjects and the reference ECG signal of a study subject may be associated with a diagnosed cardiovascular condition of the study subject. The reference ECG signals may be processed and compared with the ECG signals of the patients that have been similarly processed. ECG signals from the patients and from the reference database are first processed using wavelet transform to eliminate signal noise. The wavelet transformed signals may be reconstructed to generate noise-filtered ECG waveforms. The dual-track architecture refers to running a second wavelet transform on the noise-filtered ECG wav

Problems solved by technology

Cardiovascular disease is a serious health problem and a leading cause of death around the world.
One drawback of visual analyses is that subtle details in the waveforms may not be readily observable to the naked eyes, causing a mis-identification of the underlying cardiovascular condition.
However, ECG signals are inherently non-stationary stochastic signals.
However, such technique is computationally intensive and thus impractical to implement.
While wavelet transform ha

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Methods and systems for disease analysis based on transformations of diagnostic signals
  • Methods and systems for disease analysis based on transformations of diagnostic signals
  • Methods and systems for disease analysis based on transformations of diagnostic signals

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021]The following paragraphs describe several embodiments of the present invention in conjunction with the accompanying drawings. It should be understood that the embodiments are used only to illustrate and describe the present invention, and are not to be interpreted as limiting the scope of the present invention.

[0022]FIG. 1 shows a system block diagram of a dual-track ECG signal analyzer that is connected with an ECG device to process ECG signals of patients for comparison with a reference database of ECG signals that are similarly processed by the dual-track ECG signal analyzer for identifying cardiovascular conditions of the patients and for controlling the ECG device according to one embodiment of the present invention. An ECG device 100 may be connected to a patient through a plurality of probes that are attached to the limbs and the chest of the patient. ECG device 100 may be configured to sample the ECG signal of the patient over a programmable number of channels, for a prog

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The present invention provides methods and systems of using wavelet transform in a dual-track architecture to process ECG signals of patients and reference ECG signals of previously studied subjects to assess the cardiovascular health of the patients. The dual-track architecture refers to running wavelet transform on the ECG signals of the patients and the reference ECG signals to extract and analyze 2-dimensional time-domain signal characteristics of the ECG signals, and to build and analyze a 3-dimensional model of frequency-domain and time-domain information of the ECG signals. The characteristics of the ECG signals of the patients and the reference ECG signals may be compared and used to identify a cardiovascular disease of the patient or to recommend follow-up tests. The results of the comparison may also be used to configure the ECG device used to acquire the ECG signals of the patient and/or to optimize the parameters of the 2-D/3-D analysis.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Owner BIOCARDIO LLC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap