Human respiration detection method based on WiFi channel state information

A technology of channel state information and breathing detection, applied in the evaluation of respiratory organs, diagnostic recording/measurement, medical science, etc., can solve the problems of high price, large measurement error, inconvenient use, etc., and achieve low price, strong anti-interference ability, Deploy simple effects

Inactive Publication Date: 2019-07-12
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0005] In order to overcome the inconvenient use, high price and large measurement error of the existing human respiration detection method, this invention proposes a human respiration d

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  • Human respiration detection method based on WiFi channel state information
  • Human respiration detection method based on WiFi channel state information
  • Human respiration detection method based on WiFi channel state information

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Embodiment Construction

[0033] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, so as to define the protection scope of the present invention more clearly.

[0034] refer to Figure 1 to Figure 6 , a kind of human respiration detection method based on WiFi channel state information, comprises the following steps:

[0035] Step 1: Build a Channel State Information (CSI) data collection platform;

[0036] Step 2: The human body is in the WiFi environment, first maintain a stable state, and at the same time breathe normally, collect data packets containing channel state information, and the CSI signals sent and received by each pair of antennas can be expressed as {x(n)|n=1 ,2,...,M}, M is the number of subcarriers included in the CSI signal;

[0037] Step 3: Carry out data calibration, take 1 pair of ...

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Abstract

The invention provides a human respiration detection method based on WiFi channel state information. Respiration channel state information data of different rates of people in the indoor environment is collected, amplitude information is extracted, then filtering and direct current removal are carried out on the channel state information (CSI) data, and an obvious respiratory cycle signal is obtained; in a respiratory signal extraction stage, subcarriers sensitive to respiratory movements are mainly selected, then subcarrier data is converted by adopting multi-resolution discrete wavelets, a respiratory signal with a specific frequency band is obtained, background noise is eliminated, finally, frequency domain conversion is carried out on the respiratory signal after wavelet conversion, the frequency corresponding to a peak value of a magnitude spectrum is obtained, and finally, the respiratory rate is obtained. In order to measure the accuracy, rate results obtained under different respiratory conditions are observed. The human respiration detection method based on the WiFi channel state information can effectively achieve the detection of human respiration at low cost, and has certain application value in the fields such as the human health.

Description

technical field [0001] The invention relates to the field of human health, in particular to a method for detecting human respiration based on WiFi channel state information. Background technique [0002] Breathing rate is an important indicator of a person's physical condition, and it is a fundamental component in assessing a person's general physical health and identifying various disease problems. [0003] For example, when a person is in a normal state, their breathing remains relatively steady, and when they are emotionally excited or undergo strenuous exercise, the breathing pattern changes dramatically. When a person falls asleep, breathing patterns change. Therefore, the detection of breathing rate can be applied to a person's emotional judgment, the monitoring of sleep apnea, the treatment of clinical patients, especially asthma patients, and the detection of sleep stages. [0004] Traditional breath detection methods require patients to wear dedicated sensors, how...

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Application Information

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IPC IPC(8): A61B5/08
CPCA61B5/0816A61B5/725A61B5/726A61B5/7257
Inventor 吴哲夫韩小飞
Owner ZHEJIANG UNIV OF TECH
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