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SVD Noncontact bio-signal measurement method using SVDSingular Value Decomposition

机译:基于SVDS奇异值分解的SVD非接触式生物信号测量方法

摘要

The present invention relates to a non-contact type bio-signal measurement method using a singular value decomposition (SVD) technique. The non-contact type bio-signal measurement method using a singular value decomposition (SVD) technique of the present invention comprises the steps of: continuously photographing images of a person′s face for a predetermined time by a photographing means; selecting a region of interest from the photographed face images of a person and separating the selected region of interest into red (R), green (G) and blue (B) signals; normalizing the R, G and B signals after going through a filtering process by detrending for each of the separated R, G and B signals; extracting a blood volume pulse (BVP), which is the basis of the R, G and B signals, from the normalized R, G and B signals by performing blind source separation (BSS) through the application of the singular value decomposition (SVD); selecting principal components (PC) from the BVP to express the extracted BVP as a signal needed for bio-signal analysis; minimizing the noise mixed with the BVP by performing adaptive filtering through the application of the singular value decomposition (SVD) to the BVP; and measuring the bio-signal by analyzing a power spectral density (PSD) characteristic curve of the BVP that has passed through the noise minimization process.
机译:本发明涉及一种使用奇异值分解(SVD)技术的非接触型生物信号测量方法。本发明的使用奇异值分解(SVD)技术的非接触型生物信号测量方法包括以下步骤:通过拍摄装置连续拍摄人脸的图像达预定时间;以及从拍摄的人脸图像中选择感兴趣区域,并将所选择的感兴趣区域分离为红色(R),绿色(G)和蓝色(B)信号;在对每个分离的R,G和B信号进行去趋势处理之后,对R,G和B信号进行滤波处理以使其归一化;通过使用奇异值分解(SVD)进行盲源分离(BSS),从归一化的R,G和B信号中提取作为R,G和B信号基础的血容量脉冲(BVP) ;从BVP中选择主成分(PC),以将提取的BVP表达为生物信号分析所需的信号;通过将奇异值分解(SVD)应用于BVP来执行自适应滤波,以最小化与BVP混合的噪声;通过分析经过噪声最小化处理的BVP的功率谱密度(PSD)特性曲线来测量生物信号。

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