Non-invasive breath and heartbeat detection implementation method based on CSI (channel state information) signal strength in WiFi

A non-invasive, heartbeat detection technology, applied in the evaluation of respiratory organs, measuring pulse rate/heart rate, etc., can solve the problem that non-invasive "environmental perception technology does not apply human breathing and heartbeat detection"

Inactive Publication Date: 2016-01-13
TAIYUAN UNIV OF TECH
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Problems solved by technology

[0003] In order to solve the problem that the "non-invasive" environmental perception technology has not been applied to the detection of human breathing

Method used

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  • Non-invasive breath and heartbeat detection implementation method based on CSI (channel state information) signal strength in WiFi

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Embodiment Construction

[0012] according to figure 1 As shown, a non-invasive breathing and heartbeat detection method based on CSI signal strength in WiFi includes the following steps:

[0013] Collect CSI curves and perform fast Fourier transformation on the collected CSI curves: different objects including furniture, walls, and human bodies will have an impact on the CSI signal strength. Commonly used WiFi devices in the home can send wireless signals, and these wireless signals will pass through walls, furniture, etc. , The reflection of the human body. Commonly used computers are equipped with wireless network cards, wireless network cards can receive wireless signals, and the computer can analyze the rich information in CSI, including the signal amplitude and signal phase information on multiple subcarriers; equipped with IEEE802.11 standard A wireless network card can obtain one set of CSI curves from each received data packet, and the computer performs fast Fourier transform (FFT) on one set...

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Abstract

The invention belongs to the technical field for using common wireless equipment to achieve perception and particularly relates to a non-invasive breath and heartbeat detection implementation method based on CSI (channel state information) signal strength in WiFi. By the method based on channel state analysis, non-invasive human health monitoring is achieved. The method includes: a wireless network card acquires one kind of CSI from each received data packet, Fourier transformation is performed on the CSI, breath and heartbeat signal frequency domain information is separated from the CSI by using the difference between breath frequency and heartbeat frequency, inverse Fourier transformation is used to extract the time domain information of each of the breath and heartbeat signal frequency domain information, and smoothing treatment is performed on the time domain information to allow breath and heartbeat signal data to be visual; meanwhile, the heartbeat signals are compared with an arrhythmia database of Massachusetts Institute of Technology in a curve manner, and a user is reminded if abnormality is discovered. The method is widely applicable to family medical monitoring.

Description

technical field [0001] The invention belongs to the technical field of realizing perception by using ordinary wireless devices, and specifically relates to a method for realizing non-invasive breathing and heartbeat detection based on CSI signal strength in WiFi. Background technique [0002] In recent years, radio waves have been more and more used in daily life, and there is an increasing need for environmental sensing technology in people's daily life, especially "non-intrusive", which means that users do not need to carry any electronic sensing devices. A common WiFi receiving device can obtain information on one of the subcarriers in the form of Channel State Information (CSI). CSI can measure the phase information and amplitude information of each subcarrier. CSI can display subcarrier information more abundantly, and demonstrate its multipath resolution ability to a certain extent, especially in the perception of small changes in signals in the non-line-of-sight rang...

Claims

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Application Information

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IPC IPC(8): A61B5/024A61B5/08
Inventor 李灯熬朱飑凯赵菊敏
Owner TAIYUAN UNIV OF TECH
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