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Non-contact Video Heart Rate Detection Method Based on Multivariate Empirical Mode Decomposition and Joint Blind Source Separation

A technology of empirical mode decomposition and blind source separation, applied in the field of biomedical signal processing, can solve the problems of lack of robustness, lack of pre-processing of input signal denoising, not considering the correlation of human heart rate, etc., to increase the correlation effect of information

Active Publication Date: 2021-12-21
HEFEI UNIV OF TECH
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Problems solved by technology

However, the above two methods also have some disadvantages
AliAl-Naji's method only considers the results of a single region of interest, and does not consider the correlation of the corresponding human heart rate between different facial regions, so compared to the results of multi-regional joint analysis of heart rate, the heart rate value is estimated for a single region More prone to outliers and less robust
Although Qi Huan's method takes into account the advantages of joint extraction of heart rate in multiple regions, it uses the RGB raw data corresponding to each region and lacks preprocessing for denoising the input signal, so that the potential source components extracted from different regions are still It is possible to alias common noise source components, so the heart rate extracted by this method is prone to large errors, making the heart rate estimation result inaccurate

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  • Non-contact Video Heart Rate Detection Method Based on Multivariate Empirical Mode Decomposition and Joint Blind Source Separation
  • Non-contact Video Heart Rate Detection Method Based on Multivariate Empirical Mode Decomposition and Joint Blind Source Separation
  • Non-contact Video Heart Rate Detection Method Based on Multivariate Empirical Mode Decomposition and Joint Blind Source Separation

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Embodiment Construction

[0040] In this embodiment, a non-contact video heart rate detection method based on multivariate empirical mode decomposition and joint blind source separation, such as figure 1 As shown in Fig. 1, first obtain the face video image sequence, and determine the facial region of interest; then divide the facial region of interest into several sub-regions, and select Green or CHROM signal as the input signal of each sub-region; then use multiple experience Modal decomposition processes the input signals of all sub-regions and obtains the data set of eigenmode components of all sub-regions; the data set is processed by joint blind source separation method to obtain several source component vectors; the first source component vector of each sub-region is screened The component vector is recorded as the candidate heart rate signal, and then the main frequency and the second harmonic frequency energy proportion of all candidate heart rate signals are calculated, and the candidate heart...

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Abstract

The invention discloses a non-contact video heart rate detection method based on multivariate empirical mode decomposition and joint blind source separation. 2. Each sub-region selects the green channel reference signal or color difference signal as the input signal; 3. Uses multivariate empirical mode decomposition to process the input signal to obtain the input signal eigenmode component data set; 4. Adopts joint blind source separation Process the eigenmode component data set of the input signal to obtain the source signal matrix, and filter out the pulse signal from it; 5. Use the method of frequency spectrum analysis to extract the heart rate from the pulse signal. The invention can obtain video heart rate detection results robustly and accurately, and has important application prospects in daily medical care.

Description

technical field [0001] The invention belongs to the technical field of biomedical signal processing, and in particular relates to a method for non-contact extraction of human heart rate from video based on multiple empirical mode decomposition combined with joint blind source separation. Background technique [0002] Heart rate is an important physiological parameter of the human body, and its long-term monitoring is of great significance to the early prevention and prognosis diagnosis of cardiovascular diseases, as well as the monitoring of human health. At present, human heart rate monitoring methods are mainly divided into contact monitoring methods and non-contact monitoring methods according to whether they are in contact with human skin or not. The measurement results of the contact method are accurate and reliable, and have a high degree of social acceptance. However, long-term contact with the skin is likely to cause physical discomfort, and it is not suitable for he...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/024A61B5/00
CPCA61B5/024A61B5/748A61B5/7203
Inventor 陈勋汪旻达宋仁成成娟李畅刘羽
Owner HEFEI UNIV OF TECH
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