Human body respiratory capacity assessment system based on RFID label and method

An RFID tag and evaluation system technology, applied in the directions of diagnostic recording/measurement, medical science, sensors, etc., can solve problems such as inability to meet medical and health applications, user interference, and unfavorable promotion.

Active Publication Date: 2019-10-18
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF8 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The contact solution needs to connect wires or arrange sensors on the surface of the user's body, which will cause serious interference to the user during long-term continuous use
Most non-contact methods are mainly for monitoring respira...

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
  • Human body respiratory capacity assessment system based on RFID label and method
  • Human body respiratory capacity assessment system based on RFID label and method
  • Human body respiratory capacity assessment system based on RFID label and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] The present invention is described in further detail now in conjunction with accompanying drawing.

[0042] like figure 1 The main idea of ​​the RFID tag-based human respiratory volume evaluation system shown is: divide the system into three modules: chest displacement estimation, motion error elimination, and relationship construction between chest displacement and respiratory volume. The first two modules realize the extraction of the user's chest displacement through a series of noise reduction algorithms, and at the same time use the displacement relationship of the label in space to eliminate the error caused by the slight movement of the user's upper body during the measurement period. The third module utilizes BP neural network to model the relationship between multiple chest displacements and respiratory volume during a single breath.

[0043] The specific steps of chest displacement estimation are:

[0044] 1) Let the user sit 1.5m directly in front of the an...

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 belongs to the field of wireless sensing and medical monitoring and relates to a human body respiratory capacity assessment system based on an RFID label and a method. The system comprises three modules. The method comprises the following steps of (1) chest displacement assessment, wherein a low-pass filter is applied to pre-processed phase flow data to eliminate noise generated fromthe environment and multiple paths, a distance and phase conversion formula is used for deducing the relative displacement of a chest label, and the relative displacement of the chest label is calibrated; (2) motion error elimination, wherein a reference label is additionally added to the lower portion of the neck of each user to eliminate baseline drift generated by phase flow when the upper body of each user slightly moves in the measurement period; (3) establishment of a relation between chest displacement and the respiratory capacity, wherein a BP neural network is used for establishing arelation model between multi-point displacement of the chest and the respiratory capacity in the single-time respiration period. According to the system, under the condition of not disturbing the users, the respiratory capacity of multiple users can be monitored for a long time, and accordingly the basis is provided for monitoring and diagnosis of some respiratory tract diseases.

Description

technical field [0001] The invention belongs to the field of medical monitoring, and in particular relates to a system and method for evaluating human respiratory volume based on RFID tags, which are mainly used to solve the problem of how to continuously and accurately measure the respiratory volume of multiple users for a long time. Background technique [0002] Respiratory monitoring has been widely used to assess the health status of the general population, provide clues to chronic diseases, and track the progress of patients' recovery. Continuous and accurate spirometry can provide fast and effective diagnostic clues to the progression of the disease. For example, common obstructive airway diseases, such as asthma and chronic obstructive pulmonary disease (COPD), are characterized by airflow limitation that is not fully reversible, and changes in the patient's pathological state can be detected by monitoring respiratory volume, revealing Pathological characteristics 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
no application Login to view more
IPC IPC(8): A61B5/087A61B5/107A61B5/091
CPCA61B5/087A61B5/091A61B5/1072
Inventor 常相茂徐晓翔
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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