Noise Reduction Technique for Single-Color Video Plethysmography Using Singular Spectrum Analysis
Noise Reduction Technique for Single-Color Video Plethysmography Using Singular Spectrum Analysis
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DOI：
10.1109/jbhi.2019.2949883
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发表时间：
2019-11
影响因子：
7.7
通讯作者：
N. Sugita;M. Akay;Y. Akay;M. Yoshizawa
中科院分区：
文献类型：
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作者：
N. Sugita;M. Akay;Y. Akay;M. Yoshizawa
近来，使用摄像机测量生物信号的非接触方法已经引起关注。特别地，视频体积描记术（一种用于从视频获得脉搏波的技术）对于日常管理人们的健康是有用的。然而，经受测量的人的任何身体移动导致在视频体积描记中产生不规则噪声并且降低所记录的生物信息的准确性，例如，心率，测量期间。盲源分离是用于从包括不同多色通道的视频体积描记的结果中消除噪声的流行技术。然而，难以将该技术应用于诸如近红外视频的单色视频。本文提出了一种将奇异谱分析与循环自相关函数相结合的方法来消除单色视频体积描记图中的不规则噪声。将所提出的方法应用于从39个个体收集的视频，与使用线性滤波器的传统方法相比，瞬时心率的估计精度提高了约44%。此外，所提出的方法还使得能够比使用多色视频体积描记法实现的心率的估计更精确。
Recently, a contactless method for measuring a biological signal using a video camera has garnered attention. Especially, video plethysmography, a technique for obtaining a pulse wave from a video, is useful for managing the health of people on a daily basis. However, any body movement of a person subjected to the measurement leads to the generation of irregular noise in video plethysmography and reduces the accuracy of the recorded biological information, e.g., heart rate, during the measurement. Blind source separation is a popular technique for eliminating noise from the results of video plethysmography comprising different multiple-color channels. However, it is difficult to apply this technique to a single-color video such as a near-infrared video. Herein, a new method that combines singular spectrum analysis with the circular autocorrelation function is introduced to eliminate irregular noise in single-color video plethysmography. Applying the proposed method on videos collected from 39 individuals improved the estimation accuracy of instantaneous heart rate by approximately 44% over a conventional method using a linear filter. Furthermore, the proposed method also enabled more precise estimations of the heart rate than that achieved using multi-color video plethysmography.