Denoising of Continuous Glucose Monitoring Signal with Adaptive SG Filter
暂无分享,去创建一个
[1] Vijander Singh,et al. A novel nature-inspired algorithm for optimization: Squirrel search algorithm , 2019, Swarm Evol. Comput..
[2] S. Mohan Das,et al. Erratum: Design of Optimal Digital Fir Filter Using Particle Swarm Optimization Algorithm , 2013 .
[3] Om Prakash Verma,et al. Solution of SNLAE model of backward feed multiple effect evaporator system using genetic algorithm approach , 2017, Int. J. Syst. Assur. Eng. Manag..
[4] Ioan Cristian Trelea,et al. The particle swarm optimization algorithm: convergence analysis and parameter selection , 2003, Inf. Process. Lett..
[5] Haoxiang Wang,et al. Minimization of energy consumption in multiple stage evaporator using Genetic Algorithm , 2017, Sustain. Comput. Informatics Syst..
[6] B Wayne Bequette,et al. Continuous Glucose Monitoring: Real-Time Algorithms for Calibration, Filtering, and Alarms , 2010, Journal of diabetes science and technology.
[7] Randy L. Haupt,et al. Practical Genetic Algorithms , 1998 .
[8] Vijander Singh,et al. Performance Evaluation and Implementation of FPGA Based SGSF in Smart Diagnostic Applications , 2016, Journal of Medical Systems.
[9] A. Antoniou,et al. Cascade-Form Multiplierless FIR Filter Design Using Orthogonal Genetic Algorithm , 2006, 2006 IEEE International Symposium on Signal Processing and Information Technology.
[10] H. M. Heise,et al. Effect of data pretreatment on the noninvasive blood glucose measurement by diffuse reflectance NIR spectroscopy , 1994, Other Conferences.
[11] Ronald W. Schafer,et al. What Is a Savitzky-Golay Filter? [Lecture Notes] , 2011, IEEE Signal Processing Magazine.
[12] Christine M. Anderson-Cook,et al. Practical Genetic Algorithms , 2005 .
[13] Vijander Singh,et al. Prospects and limitations of non-invasive blood glucose monitoring using near-infrared spectroscopy , 2015, Biomed. Signal Process. Control..