Detection and research method for ECG signal waveform
A technology of electrocardiographic signals and electrical signals, which is applied in the field of detection and research of electrocardiographic signal waveforms, can solve problems such as costly practice and template matching cannot be detected, and achieve the effect of improving the detection rate
Inactive Publication Date: 2020-12-29
山东平伟医疗技术有限公司
View PDF10 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
The template matching method requires comprehensive template training. If some abnormal waveforms are not trained, they cannot be detected during template matching. Secondly, it will take a lot of practice to train the template.
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0029] see Figure 1 to Figure 5 , the present invention provides a kind of technical scheme: the detection research method of electrocardiogram signal waveform, comprises the following steps:
[0030] Step 1: Selection of the type of ECG signal. The parameters of the deep neural network are obtained by learning and continuously optimizing the input ECG samples according to the pre-designed learning rules. Therefore, it is necessary to select the appropriate t...
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
Login to View More Abstract
The invention discloses a detection and research method for ECG signal waveform. The detection and research method comprises the following steps: step 1, selection of the ECG signal type: deep neuralnetwork parameters are obtained by learning and continuously optimizing an input ECG sample according to a learning rule designed in advance, so that the proper ECG signal type needs to be selected and sent into a network for learning and training; and step 2, selection of ECG signal features: ECG signal feature information loss can be caused in an extraction process when an existing algorithm isused for extracting ECG signal features, and all information in ECG signals is reserved in a complete cardiac beat. In the ECG signal preprocessing process, dual filtering is used for denoising and filtering ECG signals, and a self-adaptive differential threshold algorithm is provided for feature extraction of the filtered ECG signals.
Description
technical field [0001] The invention belongs to the technical field of electrocardiographic signals, and in particular relates to a detection and research method for waveforms of electrocardiographic signals. Background technique [0002] With the increase of the aging population, the increase of social pressure and the change of people's living habits, the number of patients with heart disease has increased, which has greatly increased the workload of doctors, and to a certain extent, caused greater pressure on doctors, making Doctors are more prone to fatigue during work and may have misjudgments, and there will inevitably be limitations of experience and ambiguity in the diagnosis process. With the advancement and development of science and technology, portable, compact and low-power home ECG detectors The demand market has increased sharply, and people have higher requirements for ECG signal detection and disease prediction. Therefore, the detection and classification of...
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
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0402A61B5/00G06K9/00G06K9/62G06N3/08
CPCA61B5/7264A61B5/7203A61B5/7267A61B5/725G06N3/08G06F2218/04G06F2218/08G06F18/217
Inventor 王永涛薛汝成
Owner 山东平伟医疗技术有限公司