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

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...

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 respiratory frequency, which cannot meet the needs of some medical and health applications. Some non-contact methods for detecting respiratory volume usually rely on proprietary equipment or strict usage scenarios, which is not conducive to promotion

Images