A single-trial event-related potential estimation based on independent component analysis and kalman smoother

Jingwei Zhang; Luzheng Bi; Jinling Lian; Cuntai Guan

doi:10.1109/AIM.2018.8452280

A single-trial event-related potential estimation based on independent component analysis and kalman smoother

Jingwei Zhang, Luzheng Bi^*, Jinling Lian, Cuntai Guan

^*Corresponding author for this work

School of Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

Event-related potentials have been widely employed to develop brain-machine interface (BMI) systems. To improve the performance of such kind of BMI systems, how to extract P300 wave in a single trial has become an important research question in this field. In this paper, we propose a new approach for extracting P300 wave in a single trial by combining the independent component analysis (ICA) with Kalman smoother. The analysis results from two datasets show that the proposed approach can significantly improve the signal-to-noise ratio (SNR) of the P300 wave and performs better in P300 wave extraction in a single trial than a recursive least squares (RLS) filter.

Original language	English
Title of host publication	AIM 2018 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	7-12
Number of pages	6
ISBN (Print)	9781538618547
DOIs	https://doi.org/10.1109/AIM.2018.8452280
Publication status	Published - 30 Aug 2018
Event	2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2018 - Auckland, New Zealand Duration: 9 Jul 2018 → 12 Jul 2018

Publication series

Name	IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Volume	2018-July

Conference

Conference	2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2018
Country/Territory	New Zealand
City	Auckland
Period	9/07/18 → 12/07/18

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10.1109/AIM.2018.8452280

Cite this

Zhang, J., Bi, L., Lian, J., & Guan, C. (2018). A single-trial event-related potential estimation based on independent component analysis and kalman smoother. In AIM 2018 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics (pp. 7-12). Article 8452280 (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM; Vol. 2018-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AIM.2018.8452280

Zhang, Jingwei ; Bi, Luzheng ; Lian, Jinling et al. / A single-trial event-related potential estimation based on independent component analysis and kalman smoother. AIM 2018 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 7-12 (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM).

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title = "A single-trial event-related potential estimation based on independent component analysis and kalman smoother",

abstract = "Event-related potentials have been widely employed to develop brain-machine interface (BMI) systems. To improve the performance of such kind of BMI systems, how to extract P300 wave in a single trial has become an important research question in this field. In this paper, we propose a new approach for extracting P300 wave in a single trial by combining the independent component analysis (ICA) with Kalman smoother. The analysis results from two datasets show that the proposed approach can significantly improve the signal-to-noise ratio (SNR) of the P300 wave and performs better in P300 wave extraction in a single trial than a recursive least squares (RLS) filter.",

author = "Jingwei Zhang and Luzheng Bi and Jinling Lian and Cuntai Guan",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2018 ; Conference date: 09-07-2018 Through 12-07-2018",

year = "2018",

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doi = "10.1109/AIM.2018.8452280",

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series = "IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM",

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Zhang, J, Bi, L, Lian, J & Guan, C 2018, A single-trial event-related potential estimation based on independent component analysis and kalman smoother. in AIM 2018 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics., 8452280, IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, vol. 2018-July, Institute of Electrical and Electronics Engineers Inc., pp. 7-12, 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2018, Auckland, New Zealand, 9/07/18. https://doi.org/10.1109/AIM.2018.8452280

A single-trial event-related potential estimation based on independent component analysis and kalman smoother. / Zhang, Jingwei; Bi, Luzheng; Lian, Jinling et al.
AIM 2018 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Institute of Electrical and Electronics Engineers Inc., 2018. p. 7-12 8452280 (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM; Vol. 2018-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2018/8/30

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N2 - Event-related potentials have been widely employed to develop brain-machine interface (BMI) systems. To improve the performance of such kind of BMI systems, how to extract P300 wave in a single trial has become an important research question in this field. In this paper, we propose a new approach for extracting P300 wave in a single trial by combining the independent component analysis (ICA) with Kalman smoother. The analysis results from two datasets show that the proposed approach can significantly improve the signal-to-noise ratio (SNR) of the P300 wave and performs better in P300 wave extraction in a single trial than a recursive least squares (RLS) filter.

AB - Event-related potentials have been widely employed to develop brain-machine interface (BMI) systems. To improve the performance of such kind of BMI systems, how to extract P300 wave in a single trial has become an important research question in this field. In this paper, we propose a new approach for extracting P300 wave in a single trial by combining the independent component analysis (ICA) with Kalman smoother. The analysis results from two datasets show that the proposed approach can significantly improve the signal-to-noise ratio (SNR) of the P300 wave and performs better in P300 wave extraction in a single trial than a recursive least squares (RLS) filter.

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Zhang J, Bi L, Lian J, Guan C. A single-trial event-related potential estimation based on independent component analysis and kalman smoother. In AIM 2018 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Institute of Electrical and Electronics Engineers Inc. 2018. p. 7-12. 8452280. (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM). doi: 10.1109/AIM.2018.8452280

A single-trial event-related potential estimation based on independent component analysis and kalman smoother

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