A deconvolution scheme for the stochastic metabolic/hemodynamic model (sMHM) based on the square root cubature Kalman filter and maximum likelihood estimation-Reference-Cited by-同舟云学术

A deconvolution scheme for the stochastic metabolic/hemodynamic model (sMHM) based on the square root cubature Kalman filter and maximum likelihood estimation

Published:2018-08 Issue: Volume:45 Page:284-304
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Boureghda Mohammed,Bouden Toufik

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference50 articles.

1. Techniques for imaging neuroscience;Turner;Br. Méd. Bull.,2003

2. A model for the coupling between cerebral blood flow and oxygen metabolism during neural stimulation;Buxton;J. Cereb. Blood Flow Metab.,1997

3. Dynamics of blood flow and oxygenation changes during brain activation: the ballon model;Buxton;Magn. Reson. Med.,1998

4. Nonlinear event-related responses in fMRI;Friston;Magn. Reson. Med.,1998

5. Evidence of a cerebrovascular postarteriole Windkessel with delayed compliance;Mandeville;J. Cereb. Blood Flow Metab.,1999

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Develop blood oxygen level dependent signal by metabolic/hemodynamic model using numerical methods;Informatics in Medicine Unlocked;2023

2. Robust Parametric Identification Procedure for Stochastic Nonlinear Continuous-Discrete Systems;Journal of Applied and Industrial Mathematics;2021-08

3. Multi-Channel-Based Differential Pathlength Factor Estimation for Continuous-Wave fNIRS;IEEE Access;2021

4. Online Motion-Artifact Removal in fNIRS Signals: Combined Square-Root Cubature Kalman Filter and Weighted Moving Average Model Approach;2020 20th International Conference on Control, Automation and Systems (ICCAS);2020-10-13

5. SVD-based factored-form Cubature Kalman Filtering for continuous-time stochastic systems with discrete measurements;Automatica;2020-10