A Robust Extraction Approach of Auditory Brainstem Response Using Adaptive Kalman Filtering Method-Reference-Cited by-同舟云学术

A Robust Extraction Approach of Auditory Brainstem Response Using Adaptive Kalman Filtering Method

Published:2022-12 Issue:12 Volume:69 Page:3792-3802
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Zhang Haoshi¹^ORCID,Zhu Mingxing²,Jiang Yanbing¹,Wang Dan³,Wang Xin¹^ORCID,Yang Zijian³,Huang Weimin⁴,Chen Shixiong⁵^ORCID,Li Guanglin⁵^ORCID

Affiliation:

1. CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences and the Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, China

2. School of Electronics and Information Engineering, Harbin Institute of Technology, Shenzhen and the CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

3. CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

4. Department of Neonatology, Shenzhen Children's Hospital, China

5. CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

Funder

National Natural Science Foundation of China

Shenzhen Governmental Basic Research

Science and Technology Planning Project of Shenzhen

Shandong Institute of Advanced Technology

Chinese Academy of Sciences

Shenzhen Institutes of Advanced Technology Innovation Program for Excellent Young Researchers

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/9956947/09783197.pdf?arnumber=9783197

Reference38 articles.

1. Effects of Artefact Rejection and Bayesian Weighted Averaging on the Efficiency of Recording the Newborn ABR

2. A Novel Adaptive Kalman Filter With Inaccurate Process and Measurement Noise Covariance Matrices

3. Adaptive adjustment of noise covariance in Kalman filter for dynamic state estimation

4. An improved real-time adaptive Kalman filter with recursive noise covariance updating rules

5. Introduction to the Kalman filter and tuning its statistics for near optimal estimates and Cramer Rao bound;mohan,2015

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