Non-contact respiration monitoring method based on visual calculation
A respiratory monitoring, non-contact technology, applied in the direction of calculation and evaluation of respiratory organs, computer parts, etc., can solve the problems of inaccurate respiratory signal monitoring results, inaccurate respiratory monitoring results, etc., to achieve strong operability and practicability , ultra-low power consumption, the effect of improving accuracy
A respiratory monitoring, non-contact technology, applied in the direction of calculation and evaluation of respiratory organs, computer parts, etc., can solve the problems of inaccurate respiratory signal monitoring results, inaccurate respiratory monitoring results, etc., to achieve strong operability and practicability , ultra-low power consumption, the effect of improving accuracy
CN112053387APending Publication Date: 2020-12-08贵阳像树岭科技有限公司
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[0027] In order to make the purpose, technical solutions and advantages of the invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments of the description. All other embodiments obtained below all belong to the protection scope of the present invention.
[0028] A non-contact respiratory monitoring method based on visual computing, the specific implementation process is as follows:
[0029] Step 1: Place an ordinary webcam (camera with RGB or infrared monitoring) directly above the crib, so that the camera can fully observe the entire bed, such as figure 2 As shown, in the process of video image acquisition in this step, the subsequent calculation of the respiratory signal is based on the original video data RAW collected in this step. The minimum size of the collected video image is: 360*240 pixels, and the acquisition rate is 25-30 frames per second.
[0030] Step 2: to the vi...
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The invention discloses a non-contact respiration monitoring method based on visual calculation. The method comprises the following steps: acquiring a video image by using a camera; positioning a region of interest (ROI); graying processing is carried out; carrying out phase motion amplification processing on the respiratory motion by utilizing an innovatively improved phase motion amplification algorithm; extracting the respiratory signal after the phase motion amplification processing; kalman filtering processing is carried out on the extracted respiration signals; using an SVM classifier toclassify the respiratory signal waveform after Kalman filtering; judging whether the breathing is hypopnea breathing or not; in the case of non-low ventilation, a band-pass filter and fast Fourier transform are used for calculating the respiratory rate, the problems existing in a contact type detection method in the prior art are solved, the ultra-low-power-consumption non-contact type monitoringmethod based on visual calculation is provided, a conventional phase motion amplification method in the prior art is subverted, and the accuracy of phase motion amplification is improved. The accuracy of non-contact respiration monitoring results and respiration rate calculation is improved, and the method has high operability and practicability.
Description
technical field [0001] The invention relates to the technical field of medical respiration monitoring, in particular to a non-contact respiration monitoring method based on visual calculation. Background technique [0002] Breathing is a very important physiological activity of the human body. Sleep breathing signals such as the frequency, intensity, and rhythm of the human body can largely reflect the health status of the body and reveal the emergence of diseases. Therefore, monitoring of human sleep breathing has a very important medical value. significance. [0003] There are mainly two types of respiratory frequency detection methods: contact and non-contact. At present, medical respiratory monitoring is mainly based on contact monitoring. Complete the experiment under the condition of intervention, do not produce results because of psychological likes and dislikes and stimuli, if you use wearable or contact type, it may affect the experimental data, and contact type de...
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Patent Timeline
08 Dec 2020
Publication
CN112053387A
- IPC
- G06T7/277; G06T7/262; G06T5/00; G06K9/62; G06K9/32; G06K9/00; A61B5/08; A61B5/00
- CPC
- G06T7/277; G06T7/262; A61B5/0816; A61B5/0826; A61B5/4818; G06V40/161; G06V10/25; G06F18/2411
- Inventors
- 李丹疆; 黎平