Grouping modulation with different codes for improving performance in cVEP-based brain–computer interfaces
A novel paradigm for building code modulated visual evoked potential (cVEP) brain–computer interfaces (BCIs) is proposed. The paradigm is based on grouping modulation of stimuli with different codes in order to increase the number of stimuli and resulting information transfer rate (ITR). In a single...
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| Published in: | Electronics letters Vol. 53; no. 4; pp. 214 - 216 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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The Institution of Engineering and Technology
16.02.2017
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| ISSN: | 0013-5194, 1350-911X, 1350-911X |
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| Abstract | A novel paradigm for building code modulated visual evoked potential (cVEP) brain–computer interfaces (BCIs) is proposed. The paradigm is based on grouping modulation of stimuli with different codes in order to increase the number of stimuli and resulting information transfer rate (ITR). In a single group, an original code and its circularly shifting codes are used for modulating 16 stimuli. To achieve good separability of stimuli, the original codes for different groups should have good autocorrelation and cross-correlation properties. A pair of Golay complementary series and an almost perfect autocorrelation sequence are used as the original codes to implement a three-group cVEP BCI with 48 targets. Four subjects participated in a simulated online experiment and a high ITR of 129.58 bits/min was achieved due to the sharp increase of the number of targets. |
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| AbstractList | A novel paradigm for building code modulated visual evoked potential (cVEP) brain–computer interfaces (BCIs) is proposed. The paradigm is based on grouping modulation of stimuli with different codes in order to increase the number of stimuli and resulting information transfer rate (ITR). In a single group, an original code and its circularly shifting codes are used for modulating 16 stimuli. To achieve good separability of stimuli, the original codes for different groups should have good autocorrelation and cross-correlation properties. A pair of Golay complementary series and an almost perfect autocorrelation sequence are used as the original codes to implement a three-group cVEP BCI with 48 targets. Four subjects participated in a simulated online experiment and a high ITR of 129.58 bits/min was achieved due to the sharp increase of the number of targets. |
| Author | Wei, Qingguo Lu, Zongwu Gong, Huayun |
| Author_xml | – sequence: 1 givenname: Qingguo surname: Wei fullname: Wei, Qingguo email: wqg07@163.com organization: Department of Electronic Engineering, Nanchang University, 999 Xuefu Road, Nanchang 330031, People's Republic of China – sequence: 2 givenname: Huayun surname: Gong fullname: Gong, Huayun organization: Department of Electronic Engineering, Nanchang University, 999 Xuefu Road, Nanchang 330031, People's Republic of China – sequence: 3 givenname: Zongwu surname: Lu fullname: Lu, Zongwu organization: Department of Electronic Engineering, Nanchang University, 999 Xuefu Road, Nanchang 330031, People's Republic of China |
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| Cites_doi | 10.1371/journal.pone.0133797 10.1371/journal.pone.0156416 10.1109/TBME.2014.2300164 10.1002/ima.20288 10.1109/18.144729 10.1016/0745-7138(92)90045-7 10.1109/TNSRE.2015.2490621 10.1371/journal.pone.0051077 10.1109/TIT.1961.1057620 10.1088/1741-2560/8/2/025015 10.1088/1741-2560/12/3/036006 10.1109/MCI.2009.934562 |
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| Keywords | information transfer rate Golay complementary series medical signal processing modulation coding cVEP-based brain-computer interfaces brain-computer interfaces ITR grouping modulation circularly shifting codes code modulated visual evoked potential visual evoked potentials three-group cVEP BCI |
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| Snippet | A novel paradigm for building code modulated visual evoked potential (cVEP) brain–computer interfaces (BCIs) is proposed. The paradigm is based on grouping... A novel paradigm for building code modulated visual evoked potential (cVEP) brain-computer interfaces (BCIs) is proposed. The paradigm is based on grouping... |
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| SubjectTerms | Autocorrelation Biomedical technology brain‐computer interfaces Building codes circularly shifting codes code modulated visual evoked potential cVEP‐based brain‐computer interfaces Electronics Golay complementary series grouping modulation Human-computer interface information transfer rate ITR medical signal processing Modulation modulation coding Series (mathematics) Simulation Stimuli three‐group cVEP BCI visual evoked potentials |
| Title | Grouping modulation with different codes for improving performance in cVEP-based brain–computer interfaces |
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