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

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

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

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.

源语言英语
主期刊名AIM 2018 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics
出版商Institute of Electrical and Electronics Engineers Inc.
7-12
页数6
ISBN(印刷版)9781538618547
DOI
出版状态已出版 - 30 8月 2018
活动2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2018 - Auckland, 新西兰
期限: 9 7月 201812 7月 2018

出版系列

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

会议

会议2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2018
国家/地区新西兰
Auckland
时期9/07/1812/07/18

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