Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Vital sign monitoring method and system for chronic patient group

A technology for vital signs and chronic diseases, applied in the field of vital signs monitoring methods and systems for people with chronic diseases, can solve problems such as insufficient refinement, failure to take into account individual differences and regional differences, and difficulty in truly reflecting the health status of patients. The effect of accuracy and comprehensiveness

Pending Publication Date: 2021-06-01
SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Existing reference indicators are based on the same standard formulated based on industry standards or clinical data. For patients in different regions, the same indicators are usually used to evaluate the health status, without taking into account individual differences and regional differences. The physiological parameters of patients have different characteristics during the time period, which leads to the limited reference value of the evaluation results of the existing monitoring methods for patients with chronic diseases, and the lack of refinement, which makes it difficult to truly reflect the true health status of patients

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
  • Vital sign monitoring method and system for chronic patient group
  • Vital sign monitoring method and system for chronic patient group
  • Vital sign monitoring method and system for chronic patient group

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0060] refer to figure 1 , the present embodiment provides a method for monitoring vital signs of a chronically ill population, comprising the following steps:

[0061] S1. Construct the time-sign data set of patients with chronic diseases:

[0062] Divide 24 hours a day into several time periods T, and perform sampling and measurement of multiple vital signs indicators for several patients: in each time period, sample and measure each vital sign indicator of each patient at least twice, Complete the sampling measurement of all patients, save the data, and obtain the patient's time-sign data collection;

[0063] Specifically: Divide 24 hours a day into m time periods T, sample and measure q patients H, and in each time period T i Within, for each patient H j Each vital sign index S of k Sampling and measurement at least twice, complete the sampling and measurement of all patients, save the data, and obtain the time-sign data set;

[0064] Wherein, i=1,2,...,m; j=1,2,...,q...

Embodiment 2

[0109]This embodiment provides a system for monitoring vital signs of a population with chronic diseases, which adopts the method of Embodiment 1 to monitor the vital signs of a population with chronic diseases, and the system includes:

[0110] a data collection unit, which is used to collect the patient's vital signs;

[0111] a database unit for constructing a time-sign data set of chronic disease patients;

[0112] an individual evaluation unit, which is used to construct an individual evaluation model;

[0113] a group evaluation unit, which is used to construct a group evaluation model;

[0114] Classic evaluation unit, which is used to construct a classic evaluation model;

[0115] and a health state evaluation unit, which acquires the vital signs of the monitored patient collected by the data collection unit, and then compares them with the individual reference range in the individual evaluation model, the reference range in the group evaluation model group, and the ...

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 invention discloses a vital sign monitoring method and system of a chronic patient group. The method comprises the following steps: (1) constructing a time-sign data set of chronic patients; (2) constructing an individual evaluation model; (3) constructing a group evaluation model. According to the invention, the evaluation of the vital sign indexes of the monitored patient is refined into a plurality of time periods, so that the evaluation result is more representative and more accurate; in addition, the evaluation results of the individual evaluation model, the group evaluation model and the classical evaluation model are endowed with different weights, so that the evaluation results of the evaluation models can be comprehensively embodied, and the influence degree of the evaluation results of the evaluation models on the final health state evaluation result can be highlighted; therefore, the final result is more accurate and comprehensive, has higher reference value, and can reflect the real health state of the patient more accurately.

Description

technical field [0001] The invention relates to the field of health information processing, in particular to a method and system for monitoring vital signs of chronically ill people. Background technique [0002] After a patient with chronic disease undergoes physiological parameter testing, a specific test report is usually issued based on the results, and the patient's health status is evaluated based on relevant reference indicators. The existing reference indicators are based on the same standard formulated according to industry standards or clinical data. For patients in different regions, the same indicators are usually used to evaluate the health status. Individual differences and regional differences are not considered. During the time period, the physiological parameters of patients have different characteristics, which leads to the limited reference value and insufficient refinement of the evaluation results of the existing monitoring methods for patients with chro...

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
IPC IPC(8): G16H50/30A61B5/00
CPCG16H50/30A61B5/00
Inventor 纪建松卢陈英陈敏江陈春妙戴亚康戴斌耿辰周志勇
Owner SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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