Method for dynamically monitoring blood pressure based on multiple physiological characteristic parameters of ECG and PPG
What is Al technical title?
Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
A physiological feature and dynamic monitoring technology, applied in the field of medical testing, can solve the problems of low precision and achieve the effects of improving precision, solving low precision, solving effectiveness and comfort
Pending Publication Date: 2022-03-08
四川北易信息技术有限公司
View PDF1 Cites 5 Cited by
Summary
Abstract
Description
Claims
Application Information
AI Technical Summary
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
Problems solved by technology
[0005] The purpose of the present invention is to overcome the deficiencies in the prior art, provide a kind of method based on ECG and PPG multiple physiological characteristic parameters dynamic monitoring blood pressure, by proposing multiple physiological signal characteristic parameters and individual factor correction and compensation algorithm and method, its effective It improves the accuracy of the measurement, solves the problem of low precision in the current non-invasive blood pressure measurement, and also solves the validity and comfort of continuous dynamics in the process of long-term blood pressure measurement, and also solves the problem of blood pressure changes caused by long-term individual physiological changes. The irregular calibration and compensation make the measurement more suitable for the accuracy of blood pressure changes caused by body changes
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
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0031] In this example, if figure 1As shown, a method for dynamically monitoring blood pressure based on ECG and PPG multiple physiological characteristic parameters, including:
[0032] Step 1: Signal preprocessing, receiving synchronously collected ECG signals and pulse wave PPG signals and performing noise reduction processing respectively;
[0033] Step 2: Fusion signal feature extraction, the preprocessed electrocardiogram ECG signal and pulse wave PPG signal are fused, and multiple physiological characteristic parameters of the fusion signal are extracted by using window movement;
[0034] Step 3: Accurate measurement of blood pressure, input multiple sets of multiple physiological characteristic parameters into the blood pressure estimation neural network analysis model for analysis, obtain the public blood pressure data measurement model, and input the individual to determine the blood pressure value to correct and compensate the public model blood pressure data relati...
Embodiment 2
[0044] In this embodiment, on the basis of Embodiment 1, a method for dynamically monitoring blood pressure based on ECG and PPG multiple physiological characteristic parameters includes:
[0045] Step 1: Signal preprocessing, receiving synchronously collected ECG signals and pulse wave PPG signals and performing noise reduction processing respectively;
[0046] Step 2: Fusion signal feature extraction, the preprocessed electrocardiogram ECG signal and pulse wave PPG signal are fused, and multiple physiological characteristic parameters of the fusion signal are extracted by using window movement;
[0047] Step 3: Accurate measurement of blood pressure, input multiple sets of multiple physiological characteristic parameters into the blood pressure estimation neural network analysis model for analysis, obtain the public blood pressure data measurement model, and input the individual to determine the blood pressure value to correct and compensate the public model blood pressure da...
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 method for dynamically monitoring blood pressure based on multiple physiological characteristic parameters of ECG and PPG. The method comprises the following steps: receiving an ECG signal and a PPG signal which are synchronously acquired, and respectively carrying out noise reduction treatment; the preprocessed ECG signals and the preprocessed PPG signals are fused, and a plurality of physiological feature parameters of the fused signals are extracted in a window moving mode; inputting a plurality of groups of physiological characteristic parameters into a blood pressure estimation neural network analysis model for analysis, and adjusting and correcting arbitration weights of neural network elements and blood pressure estimation model coefficients according to blood pressure data model rules to obtain a public blood pressure data measurement model; and inputting an individual determined blood pressure value to correct and compensate the blood pressure data relationship of the public model to obtain an independent individual accurate blood pressure data measurement model. By means of the blood pressure data measurement model of various physiological signal characteristic parameters and the individual factor correction and compensation algorithm and method, the blood pressure measurement precision is effectively improved.
Description
technical field [0001] The invention relates to the technical field of medical detection, in particular to a blood pressure dynamic monitoring method and algorithm based on ECG and PPG multiple physiological characteristic parameters. Background technique [0002] Blood pressure is an important physiological parameter for the diagnosis of cardiovascular diseases. It is of great significance to know the status of blood pressure at all times for patients with cardiovascular diseases. Continuous dynamic monitoring of blood pressure is the most effective means of preventing, diagnosing, treating and controlling hypertension. important risk factors. [0003] At present, there are two types of non-invasive blood pressure measurement methods on the market, one is the traditional measurement method dominated by auscultation, oscillometric method, arterial tension method, etc. These traditional measurement methods have various defects that are not conducive to practical use. For exa...
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
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.
Login to view more 
Login to view more