Compensation for two specific types of artifact in pulse wave using a Kalman filter

M. Yarita, N. Kobayashi, S. Takeda, Toshiyo Tamura
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引用次数: 5

Abstract

An algorithm is proposed to interpolate the pulse wave during the measurement of SpO2 by using Kalman filter identification of autoregression (AR) coefficients, Kalman filter interpolation, and a fixed-interval smoother. This combined algorithm picks up the pulse rate smoothly from pulse waves contaminated by two specific artifact types: respiration artifact and sporadic body movement artifact.
用卡尔曼滤波器补偿脉冲波中两种特定类型的伪影
提出了一种利用卡尔曼滤波识别自回归(AR)系数、卡尔曼滤波插值和定间隔平滑对SpO2测量过程中的脉冲波进行插值的算法。该算法从两种特定的伪影(呼吸伪影和零星的身体运动伪影)污染的脉搏波中平滑地提取出脉搏率。
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