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

Multifunctional health index detection cloud system

A health indicator and multi-functional technology, applied in the field of detection system, can solve the problems of large error of smart bracelet, lack of health indicators, and less detection indicators

Inactive Publication Date: 2021-03-23
WUHAN UNIV OF TECH
View PDF5 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to propose a multifunctional health index detection cloud system that solves the technical problems of the prior art, such as relatively large errors in smart bracelets, few detection indexes, and lack of macroscopic analysis of health indexes.

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
  • Multifunctional health index detection cloud system
  • Multifunctional health index detection cloud system
  • Multifunctional health index detection cloud system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0032] Example 1: Heart rate index detection

[0033] Set the heart rate threshold a to 40-220 times per minute, and the data exceeding the threshold will be directly eliminated;

[0034] b. The remaining data use the weighted Manhattan formula Calculate the relative distance, and arrange the health data in ascending order according to the distance value;

[0035] c. Remove 20% of the data after the weighted Manhattan distance, where x u is the calculated Manhattan distance point, y u For each remaining data value after the threshold is cleared, a is x u The relative distance value calculated according to the D(x, y) formula, E(a) is the mean value corresponding to a calculated for each data, and σ is the standard deviation calculated for all a;

[0036] d. Calculate the mean and median of the data group after data elimination;

[0037] e. Calculate the average of the mean, median, and weighted Manhattan minimum distance point value;

[0038] f. If the number of deleted...

Embodiment 2

[0040] Example 2: Detection of blood pressure indicators

[0041] a. Set blood pressure high pressure threshold a to 70-140mmHg, low pressure threshold a to 40-90mmHg, and data beyond the threshold are directly eliminated;

[0042] b. The remaining data use the weighted Manhattan formula Calculate the relative distance, and arrange the health data in ascending order according to the distance value. where x u is the calculated Manhattan distance point, y u For each remaining data value after the threshold is cleared, a is x u The relative distance value calculated according to the D(x, y) formula, E(a) is the mean value corresponding to a calculated for each data, and σ is the standard deviation calculated for all a;

[0043] c. Remove 20% of the data after the weighted Manhattan distance;

[0044] d. Calculate the mean and median of the data group after data elimination;

[0045] e. Calculate the average of the mean, median, and weighted Manhattan minimum distance point...

Embodiment 3

[0048] Example 3: Blood oxygen saturation index detection

[0049] a. Set the blood oxygen saturation threshold a to 70%-100%, and the data exceeding the threshold will be directly eliminated;

[0050] b. The remaining data use the weighted Manhattan formula Calculate the relative distance, and arrange the health data in ascending order according to the distance value. where x u is the calculated Manhattan distance point, y u For each remaining data value after the threshold is cleared, a is x u The relative distance value calculated according to the D(x, y) formula, E(a) is the mean value corresponding to a calculated for each data, and σ is the standard deviation calculated for all a;

[0051] c. Remove 20% of the data after the weighted Manhattan distance;

[0052] d. Calculate the mean and median of the data group after data elimination;

[0053] e. Calculate the average of the mean, median, and weighted Manhattan minimum distance point value;

[0054] f. If the nu...

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 relates to a multifunctional health index detection cloud system. The system comprises a portable multi-health index collector, a WeChat applet client and a big data processing background. The invention further provides a multifunctional health index detection method. According to the invention, the overall efficiency of the algorithm can be effectively improved, and the health dataprocessing efficiency is improved, so that the final data error is reduced to the maximum extent so as to improve the precision of the health result; data display is carried out based on the network,and the equipment is small in size and easy to carry, so that people can conveniently master their health conditions in time; and in the aspect of big data macroscopic analysis, the system is helpfulfor a medical service institution to master the overall health condition of the public, and is helpful for setting and developing epidemic prevention and control work measures.

Description

technical field [0001] The invention belongs to a detection system, in particular to a multifunctional health index detection cloud system. Background technique [0002] At present, the research on similar subjects of the present invention is in two levels of product application and theory. First of all, product applications are divided into two types: civil and medical. Among them, domestic and foreign advanced civilian products include Xiaomi health bracelet, Huawei bracelet, Apple walking bracelet, etc. As a representative product of the health indicator detection system, the health bracelet has relatively thin functions, and a single bracelet can only measure 1-2 physiological indicators at the same time. In terms of data processing, most existing products use the threshold method to remove outliers and use model fitting for data interpolation. Although the algorithm is relatively mature, it has the disadvantages of large variance or prone to overfitting. [0003] Med...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G08B21/02G16H10/60G16H50/30A61B5/00A61B5/0205
CPCG08B21/0211G08B21/0277G08B21/028A61B5/02055A61B5/72A61B5/746G16H50/30G16H10/60
Inventor 肖攸安刘业鹏管安琪唐宇航周娜
Owner WUHAN UNIV OF TECH
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