Non-contact breath or heartbeat detection method

A non-contact, heartbeat detection technology, applied in the field of wireless perception, can solve the problem of being unable to filter out small errors

Active Publication Date: 2021-02-09
ZHUHAI HAIMI SOFTWARE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the problem that the conventional filtering algorithm mentioned above cannot filter out small errors, improve the classic Kalman filtering algorithm, and adopt the Huber objective function (comprising the first norm and the second norm) to replace the Kalman filtering alg

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  • Non-contact breath or heartbeat detection method

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Embodiment 1

[0083] This embodiment discloses a non-contact breathing or heartbeat detection method, the flow chart of which is as follows figure 1 shown, including the following steps:

[0084] S1. Obtain channel state information of the wireless signal according to the output wireless signal and the wireless signal reflected back by the measured object.

[0085] S2. Extract the vital sign waveform signal from the channel state information of the wireless signal.

[0086] S3, filtering the vital sign waveform signal based on the Huber-Kalman filter algorithm to obtain the filtered vital sign waveform signal, the Huber-Kalman filter algorithm adopts the Huber objective function to update the formula of the Kalman filter algorithm;

[0087] S4. Extract vital sign parameters from the filtered vital sign waveform signal, where the vital sign parameters include respiratory characteristic parameters and / or heartbeat characteristic parameters.

[0088] As a preferred solution, in step S4, vita...

Embodiment 2

[0130]The difference between Embodiment 2 and Embodiment 1 is that the wireless signal used is not a Wi-Fi signal, but a millimeter-wave radar signal. The range of the frequency F of the millimeter-wave radar signal includes: 23GHz≤F≤28GHz, 60GHz≤F ≤65GHz, 76GHz≤F≤81GHz. The phase of the Wi-Fi signal is random. When the Wi-Fi signal returned by the target is received, the actual meaning of the phase of the reflected signal cannot be known. Therefore, the transmitted Wi-Fi signal needs to be used as a reference signal , the phase of the reflected signal and the phase of the reference signal are calculated to obtain the phase difference. The millimeter-wave radar signal can distinguish and identify very small targets, and can identify multiple targets at the same time. The phase information of the millimeter-wave radar can directly reflect the micro-motion characteristics of the reflective surface. Therefore, there is no need to additionally calculate the phase difference in the...

Embodiment 3

[0142] Based on the same concept, Embodiment 3 provides a non-contact breathing or heartbeat detection system, including a Wi-Fi signal transmitting device, a Wi-Fi signal receiving device and a data processor, a non-contact breathing or heartbeat detection system. The structure diagram of the detection system is as follows Figure 11 shown.

[0143] The Wi-Fi signal transmitting device outputs the Wi-Fi signal to the measured target; the Wi-Fi signal receiving device receives the Wi-Fi signal reflected back from the measured target; the data processor outputs the Wi-Fi signal according to the Wi-Fi signal transmitting device output The signal and the reflected Wi-Fi signal received from the receiving antenna of the Wi-Fi signal generate a channel state signal of the Wi-Fi signal, and perform subcarrier fusion on the channel state signal of the Wi-Fi signal to obtain a vital sign waveform signal;

[0144] The data processor also filters the vital sign waveform signal based on...

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Abstract

The invention relates to the technical field of wireless sensing, in particular to a non-contact breath or heartbeat detection method, which comprises the following steps: S1, acquiring channel stateinformation of a wireless signal according to the output wireless signal and the wireless signal reflected by a detected target; S2, extracting a vital sign waveform signal from the channel state information of the wireless signal; S3, filtering the vital sign waveform signal based on a Huber-Kalman filtering algorithm to obtain a filtered vital sign waveform signal; and S4, extracting vital signparameters from the filtered vital sign waveform signals. According to the method, the classic Kalman filtering algorithm is improved by using the Huber objective function, and filtering processing isperformed by using the Huber-Kalman filtering algorithm so that the human body vital sign detection method is enabled to be more robust, and the extracted vital sign parameters can more accurately reflect the vital signs of the human body.

Description

technical field [0001] The invention relates to the field of wireless sensing technology, in particular to a non-contact breathing or heartbeat detection method. Background technique [0002] With the changes in the way of life in human society and the development of science and technology, people have paid more attention to health and have a strong interest in the ubiquitous detection of vital signs. Traditional methods of monitoring vital signs require wearing special equipment, such as wristbands or pulse oximeters. These techniques are inconvenient and uncomfortable to use. The non-contact respiratory and heartbeat detection solution based on Wi-Fi wireless sensing, non-contact, easy to deploy, and low-cost long-term vital sign monitoring is very attractive. The non-contact breath and heartbeat detection can be widely used in family scenes and car scenes, and can effectively detect the breath and heartbeat of the measured target. [0003] In the prior art, usually bas...

Claims

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Application Information

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IPC IPC(8): A61B5/0205
CPCA61B5/0205A61B5/0022A61B5/7225A61B5/7235A61B5/7203A61B5/725Y02D30/70
Inventor 杨洋骆云龙亚历克斯·漆史歌漆一宏薛瑞尼金荣皓
Owner ZHUHAI HAIMI SOFTWARE TECH CO LTD
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