EEMD and bidimensional RLS to suppress physiological interference for heterogeneous distribution in fNIRS study

作     者：Yan Zhang Dan Liu Qisong Wang Xin Liu Chunling Yang Jinwei Sun Jingyang Lu Peter Rolfe 

作者机构：School of Electrical Engineering and Automaton Harbin Institute of TechnologyHarbinP.R.China School of Transportation Science and Engineering Harbin Institute of TechnologyHarbinP.R.China Intelligent Fusion TechnologyInc.GermantownMDUSA 

出 版 物：《Journal of Innovative Optical Health Sciences》 (创新光学健康科学杂志（英文）)

年 卷 期：2018年第11卷第6期

页      面：97-108页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 1004[医学-公共卫生与预防医学(可授医学、理学学位)] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0836[工学-生物工程] 0702[理学-物理学] 

基　　金：the support from the National Science Foundation of China(Grants Nos.61401117 and 61201017) the Fundamental Research Funds for the Central Universities(Grants Nos.HIT.IBRSEM.201303 and HIT.IBRSEM.B.201401) 

主　　题：Ensemble empirical mode decomposition recursive least square methods physiological interference heterogeneous distribution 

摘      要：Near-infrared spectroscopy(NIRS)can provide the hemodynamics information based on the hemoglobin concentration representing the blood oxygen metabolism of the cerebral cortical,which can be deployed for the cerebral function ***,NIRS-based cerebral function detection accuracy can be signi¯cantly in°uenced by the physiological activities such as cardic cycle,respiration,spontaneous low-frequency oscillation and ultra-low frequency *** distribution difference of the capillary,artery and vein leads to the heterogeneity feature of the cerebral *** the case that the heterogeneity is not serious,good detection accuracy and stable performance can be achieved through the regression analysis as the reference signal can well represent the interference in the measurement signal when conducting the multi-distance measurement *** direct use of the reference signal to estimate the interference is not able to achieve good performance in the case that the heterogeneity is *** this study,the cerebral function activity signal is extracted using recursive least square(RLS)method based on the multi-distance measurement method in which the reference signal is processed by ensemble empirical mode decomposition(EEMD)*** temporal and dimensional correlation of the neighboring sampling values are applied to estimate the interference in the measurement *** Carlo simulation based on a heterogeneous model is adopted here to investigate the effectiveness of this *** results show that this methodology can effectively suppress the physiological interference and improve the detection accuracy of cerebral activity signal.