在运动状态下脉搏信号的级联滤波算法

为了减小在剧烈环境中脉搏波信号产生的运动伪迹, 采用mimic数据库中由光子器件构成的光电传感器采集的脉搏信号, 通过陀螺仪信号和三轴加速度互补滤波来矫正三轴加速度的角度, 运用奇异谱分析将矫正后的三轴加速度信号分组为不同频率成分的信号, 作为三级快速横向递归最小二乘(FTRLS)算法的参考信号自适应消除运动伪迹。结果表明, 与最小均方算法、递归最小二乘法相比, 信噪比分别提升了12.2%、6.7%, 均方根误差分别减少了30%, 11%, 并且提高了计算速度。该研究对去除频域上脉搏波的运动干扰谱峰, 保留重博波信息是有帮助的。

Abstract

In order to effectively reduce the motion artifacts generated by the pulse wave signal in the severe environment, the pulse signal collected by the photoelectric sensor composed of photonic devices in the mimic database was used, and the gyro signal and the three-axis acceleration complementary filtering were used to correct the three-axis acceleration. Singular spectrum analysis was used to group the corrected three-axis acceleration signals into signals with different frequency components, which were used as the reference signal of the three-stage fast transverse recursive least square (FTRLS) algorithm to adaptively eliminate motion artifacts. Compared and analyzed with the least mean square algorithm and recursive least square method, the signal-to-noise ratio increased by 12.2% and 6.7%, the root mean square error was reduced by 30% and 11%, respectively, and the calculation speed was increased. The experimental results show that this research is helpful to remove the pulse wave motion interference spectrum peak in the frequency domain and retain the information of the heavy wave.

参考文献

[1] LIN B. Research on chronic cardiovascular disease detection technology based on ECG singnal and PPG signal［D］. Xi’an: Xidian University, 2019:1-40(in Chinese).

[2] HERTZMAN A B. The blood supply of various skin areas as estimated by the photoelectric plethysmograph［J］. American Journal of Physio-logy, 1938 ,124(2):328-340.

[3] MA M Y. Research on noise cancellatlon in heart rate monitoring system［D］. Beijing: Beijing University of Posts and Telecommunications, 2018:11-62(in Chinese).

[4] ZHANG Q, XIE Q, WANG M, et al. Motion artifact removal for PPG signals based on accurate fundamental frequency estimation and notch filtering［C］// 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). NewYork,USA: IEEE, 2018:2965-2968.

[5] MAJEED A M, SUJIT S, AHUL A, et al. Motion artifact removal of photoplethysmogram (PPG) signal［C］// Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019. New York,USA: IEEE, 2019:5576-5580.

[6] ZHANG Y H, GAO Ch Q, WANG R, et al. Methods of pulse wave analysis and its application［J］. Beijing Biomedical Engineering, 2019, 38(3):319-326(in Chinese).

[7] WANG Q, XU Y J, ZENG G Q, et al. Pulse wave extraction and dual domain analysis［J］. Application of Electronic Technology, 2019, 45(2):53-57 (in Chinese).

[8] ARUNKUMAR K R, BHASKAR M. CASINOR: Combination of adaptive filters using single noise reference signal for heart rate estimation from PPG signals［J］. Signal Image and Video Processing, 2020(3):1-7.

[9] ZHANG Z, PI Z, LIU B. TROIKA: A general framework for heart rate monitoring using wrist-type photoplethysmographic signals during intensive physical exercise［J］. IEEE Transactions on Biomedical Engineering, 2015, 62(2):522-531.

[10] CHOWHURY S S, HYDER R, HAFIZ M B, et al. Real-time robust heart rate estimation from wrist-type PPG signals using multiple reference adaptive noise cancellation［J］. IEEE Journal of Biomedical and Health Informatics, 2018, 22(2):450-459.

[11] KONG Y S, CHON K. Heart rate estimation using PPG signal du-ring treadmill Exercise［C］// Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2019. New York,USA:IEEE, 2019:3253-3256.

[12] HUANG H Ch. Heart rate monitoring from photo plethysmographic signals during motion state［D］.Nanjing: Southeast University, 2016:10-50(in Chinese).

[13] WEIDE L, JUAN Zh. An innovated integrated model using singular spectrum analysis and support vector regression optimized by intelligent algorithm for rainfall forecasting［J］. Autonomous Intelligence, 2019, 2(1):46-55.

[14] HE H C. Research on adaptive time delay estimation method for pulsar navigation［D］. Changsha: University of Hunan, 2018:10-66(in Chinese).

[15] JUN Z, JING J Z,QIANG Ch. An improved FTRLS filtering algorithm and its simulation analysis［C］//Proceedings of 2017 17th IEEE International Conference on Communication Technology(ICCT 2017). New York,USA: IEEE, 2017:1750-1755.

[16] DINIZ P S R. Adaptive filtering: Algorithms and practical implement［M］. Berlin,Germany: Springer, 2014:1-355.

[17] CIODDI J, KAILATH T. Fast recursive-least-squares transversal filters for adaptive filtering［J］. IEEE Transactions on Acoustics, Speech and Signal Processing, 1984, 32(2): 304-337.

[18] LI Q D, ZHANG Y L. Improved attitude solving method based on Kalman filter and complementary filtering［J］.Journal of Qingdao University of Science and Technology (Natural Science Edition),2019, 40(6):85-89(in Chinese).

[19] SHENG G R,GAO G W,ZHANG B Y. Research on quadrotor attitude calculation based on quaternion［J］.Modern Electronic Technology,2020,43(14):8-12(in Chinese).

[20] LENNART L, MARTIN M, DAVID F. Fast calculation of gain matrices for recursive estimation schemes［J］. International Journal of Control, 1978, 27(1):1-19.

[21] DELARAM J, ALEAANDER J C. Description of a database containing wrist PPG signals recorded during physical exercise with both accelerometer and gyroscope measures of motion ［EB/OL］.(2020-09)［2020-09］.http://www.voiceofthebody.io/.

[22] YANG Zh L, SHI W, CHEN H X. Adaptive compression sensing of optical fiber perimeter alarm signal［J］.Laser Technology, 2020, 44(1): 74-80(in Chinese).

[23] JI Ch P, ZHAO L N. Research of wave filter method of human sphygmic signal［J］. Laser Technology,2016,40(1):42-46(in Ch-inese).

文武, 孙再敏. 在运动状态下脉搏信号的级联滤波算法[J]. 激光技术, 2021, 45(4): 516. WEN Wu, SUN Zaimin. Cascade filtering algorithm of pulse signal in motion state[J]. Laser Technology, 2021, 45(4): 516.

在运动状态下脉搏信号的级联滤波算法

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