Extraction of high-frequency SSVEP for BCI control using iterative filtering based empirical mode decomposition. (August 2020)
- Record Type:
- Journal Article
- Title:
- Extraction of high-frequency SSVEP for BCI control using iterative filtering based empirical mode decomposition. (August 2020)
- Main Title:
- Extraction of high-frequency SSVEP for BCI control using iterative filtering based empirical mode decomposition
- Authors:
- Hsu, Chuan-Chih
Yeh, Chia-Lung
Lee, Wai-Keung
Hsu, Hao-Teng
Shyu, Kuo-Kai
Li, Lieber Po-Hung
Wu, Tien-Yu
Lee, Po-Lei - Abstract:
- Highlights: The effectiveness of using IF-EMD in extracting high-frequency SSVEP has been demonstrated. The superiority of IF-EMD in avoidance of mode mixing was testified. A real-time BCI cursor system using SSVEP higher than 40 Hz was established. The feasibility of extracting high-frequency SSVEP using dry EEG electrode with an impedance matching circuit was confirmed. Abstract: Steady-state visual evoked potential (SSVEP) has been regarded as an efficient way to design a brain computer interface (BCI). Most SSVEP-based BCIs utilize visual stimuli with flashing frequencies lower than 30 Hz, owing to their better signal-to-noise ratio (SNR). However, the practical applications of low-frequency SSVEP-based BCI are limited, because low-frequency SSVEP usually incur uncomfortable visual experience and the risk of photosensitive epilepsy. In contrast, SSVEP-based BCIs using higher stimulation frequencies (>40 Hz) can induce flicker fusion effect for better visualization. In this study, we studied the feasibility of using iterative filtering - empirical mode decomposition (IF-EMD) to implement a BCI cursor system. EEG signals were recorded from dry EEG electrodes with impedance matching circuits. Three stimulation frequencies, designed at 47, 50, and 53 Hz, were chosen to induce high-frequency SSVEPs, in order to control the leftward, forward and rightward movements of the BCI cursor. Ten subjects were recruited, and each subject was requested to complete a control experimentHighlights: The effectiveness of using IF-EMD in extracting high-frequency SSVEP has been demonstrated. The superiority of IF-EMD in avoidance of mode mixing was testified. A real-time BCI cursor system using SSVEP higher than 40 Hz was established. The feasibility of extracting high-frequency SSVEP using dry EEG electrode with an impedance matching circuit was confirmed. Abstract: Steady-state visual evoked potential (SSVEP) has been regarded as an efficient way to design a brain computer interface (BCI). Most SSVEP-based BCIs utilize visual stimuli with flashing frequencies lower than 30 Hz, owing to their better signal-to-noise ratio (SNR). However, the practical applications of low-frequency SSVEP-based BCI are limited, because low-frequency SSVEP usually incur uncomfortable visual experience and the risk of photosensitive epilepsy. In contrast, SSVEP-based BCIs using higher stimulation frequencies (>40 Hz) can induce flicker fusion effect for better visualization. In this study, we studied the feasibility of using iterative filtering - empirical mode decomposition (IF-EMD) to implement a BCI cursor system. EEG signals were recorded from dry EEG electrodes with impedance matching circuits. Three stimulation frequencies, designed at 47, 50, and 53 Hz, were chosen to induce high-frequency SSVEPs, in order to control the leftward, forward and rightward movements of the BCI cursor. Ten subjects were recruited, and each subject was requested to complete a control experiment and an application experiment. In the control experiment, subjects were requested to gaze at each flickering target for thirty seconds. In the application experiment, subjects were instructed to move a cursor to reach three targets on a PC screen. The mean accuracy (Acc), command transfer interval (CTI), and information transfer rate (ITR) in the control experiment were 90.7 ± 2.9%, 1.14 ± 0.07 s, and 54.94 ± 5.41 bits/min, respectively. In the application experiment, the mean execution time and CTI were 30.0 ± 4.69 s and 1.50 ± 0.31 s, respectively. … (more)
- Is Part Of:
- Biomedical signal processing and control. Volume 61(2020)
- Journal:
- Biomedical signal processing and control
- Issue:
- Volume 61(2020)
- Issue Display:
- Volume 61, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 61
- Issue:
- 2020
- Issue Sort Value:
- 2020-0061-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-08
- Subjects:
- Iterative filtering -- Empirical mode decomposition -- Steady-state visual evoked potential -- Brain computer interface
Signal processing -- Periodicals
Biomedical engineering -- Periodicals
Signal Processing, Computer-Assisted -- Periodicals
Image Processing, Computer-Assisted -- Periodicals
Biomedical Engineering -- Periodicals
610.28 - Journal URLs:
- http://www.sciencedirect.com/science/journal/17468094 ↗
http://www.elsevier.com/journals ↗
http://www.sciencedirect.com/science?_ob=PublicationURL&_tockey=%23TOC%2329675%232006%23999989998%23626449%23FLA%23&_cdi=29675&_pubType=J&_auth=y&_acct=C000045259&_version=1&_urlVersion=0&_userid=836873&md5=664b5cf9a57fc91971a17faf20c32ec1 ↗ - DOI:
- 10.1016/j.bspc.2020.102022 ↗
- Languages:
- English
- ISSNs:
- 1746-8094
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - 2087.880400
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