Performance improvement of ERP-based brain–computer interface via varied geometric patterns
Abstract Recently, many studies have been focusing on optimizing the stimulus of an event-related potential (ERP)-based brain–computer interface (BCI). However, little is known about the effectiveness when increasing the stimulus unpredictability. We investigated a new stimulus type of varied geomet...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Ma, Zheng [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Anmerkung: |
© International Federation for Medical and Biological Engineering 2017 |
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| Übergeordnetes Werk: |
Enthalten in: Medical & biological engineering & computing - Springer Berlin Heidelberg, 1977, 55(2017), 12 vom: 28. Juni, Seite 2245-2256 |
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| Übergeordnetes Werk: |
volume:55 ; year:2017 ; number:12 ; day:28 ; month:06 ; pages:2245-2256 |
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| DOI / URN: |
10.1007/s11517-017-1671-5 |
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OLC2038697167 |
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| 520 | |a Abstract Recently, many studies have been focusing on optimizing the stimulus of an event-related potential (ERP)-based brain–computer interface (BCI). However, little is known about the effectiveness when increasing the stimulus unpredictability. We investigated a new stimulus type of varied geometric pattern where both complexity and unpredictability of the stimulus are increased. The proposed and classical paradigms were compared in within-subject experiments with 16 healthy participants. Results showed that the BCI performance was significantly improved for the proposed paradigm, with an average online written symbol rate increasing by 138% comparing with that of the classical paradigm. Amplitudes of primary ERP components, such as N1, P2a, P2b, N2, were also found to be significantly enhanced with the proposed paradigm. In this paper, a novel ERP BCI paradigm with a new stimulus type of varied geometric pattern is proposed. By jointly increasing the complexity and unpredictability of the stimulus, the performance of an ERP BCI could be considerably improved. | ||
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10.1007/s11517-017-1671-5 doi (DE-627)OLC2038697167 (DE-He213)s11517-017-1671-5-p DE-627 ger DE-627 rakwb eng 610 660 570 VZ 12 ssgn Ma, Zheng verfasserin aut Performance improvement of ERP-based brain–computer interface via varied geometric patterns 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © International Federation for Medical and Biological Engineering 2017 Abstract Recently, many studies have been focusing on optimizing the stimulus of an event-related potential (ERP)-based brain–computer interface (BCI). However, little is known about the effectiveness when increasing the stimulus unpredictability. We investigated a new stimulus type of varied geometric pattern where both complexity and unpredictability of the stimulus are increased. The proposed and classical paradigms were compared in within-subject experiments with 16 healthy participants. Results showed that the BCI performance was significantly improved for the proposed paradigm, with an average online written symbol rate increasing by 138% comparing with that of the classical paradigm. Amplitudes of primary ERP components, such as N1, P2a, P2b, N2, were also found to be significantly enhanced with the proposed paradigm. In this paper, a novel ERP BCI paradigm with a new stimulus type of varied geometric pattern is proposed. By jointly increasing the complexity and unpredictability of the stimulus, the performance of an ERP BCI could be considerably improved. Brain–computer interface Event-related potential P300 Paradigm Qiu, Tianshuang aut Enthalten in Medical & biological engineering & computing Springer Berlin Heidelberg, 1977 55(2017), 12 vom: 28. Juni, Seite 2245-2256 (DE-627)129858552 (DE-600)282327-5 (DE-576)015165507 0140-0118 nnns volume:55 year:2017 number:12 day:28 month:06 pages:2245-2256 https://doi.org/10.1007/s11517-017-1671-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-MAT GBV_ILN_70 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4219 AR 55 2017 12 28 06 2245-2256 |
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10.1007/s11517-017-1671-5 doi (DE-627)OLC2038697167 (DE-He213)s11517-017-1671-5-p DE-627 ger DE-627 rakwb eng 610 660 570 VZ 12 ssgn Ma, Zheng verfasserin aut Performance improvement of ERP-based brain–computer interface via varied geometric patterns 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © International Federation for Medical and Biological Engineering 2017 Abstract Recently, many studies have been focusing on optimizing the stimulus of an event-related potential (ERP)-based brain–computer interface (BCI). However, little is known about the effectiveness when increasing the stimulus unpredictability. We investigated a new stimulus type of varied geometric pattern where both complexity and unpredictability of the stimulus are increased. The proposed and classical paradigms were compared in within-subject experiments with 16 healthy participants. Results showed that the BCI performance was significantly improved for the proposed paradigm, with an average online written symbol rate increasing by 138% comparing with that of the classical paradigm. Amplitudes of primary ERP components, such as N1, P2a, P2b, N2, were also found to be significantly enhanced with the proposed paradigm. In this paper, a novel ERP BCI paradigm with a new stimulus type of varied geometric pattern is proposed. By jointly increasing the complexity and unpredictability of the stimulus, the performance of an ERP BCI could be considerably improved. Brain–computer interface Event-related potential P300 Paradigm Qiu, Tianshuang aut Enthalten in Medical & biological engineering & computing Springer Berlin Heidelberg, 1977 55(2017), 12 vom: 28. Juni, Seite 2245-2256 (DE-627)129858552 (DE-600)282327-5 (DE-576)015165507 0140-0118 nnns volume:55 year:2017 number:12 day:28 month:06 pages:2245-2256 https://doi.org/10.1007/s11517-017-1671-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-MAT GBV_ILN_70 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4219 AR 55 2017 12 28 06 2245-2256 |
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10.1007/s11517-017-1671-5 doi (DE-627)OLC2038697167 (DE-He213)s11517-017-1671-5-p DE-627 ger DE-627 rakwb eng 610 660 570 VZ 12 ssgn Ma, Zheng verfasserin aut Performance improvement of ERP-based brain–computer interface via varied geometric patterns 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © International Federation for Medical and Biological Engineering 2017 Abstract Recently, many studies have been focusing on optimizing the stimulus of an event-related potential (ERP)-based brain–computer interface (BCI). However, little is known about the effectiveness when increasing the stimulus unpredictability. We investigated a new stimulus type of varied geometric pattern where both complexity and unpredictability of the stimulus are increased. The proposed and classical paradigms were compared in within-subject experiments with 16 healthy participants. Results showed that the BCI performance was significantly improved for the proposed paradigm, with an average online written symbol rate increasing by 138% comparing with that of the classical paradigm. Amplitudes of primary ERP components, such as N1, P2a, P2b, N2, were also found to be significantly enhanced with the proposed paradigm. In this paper, a novel ERP BCI paradigm with a new stimulus type of varied geometric pattern is proposed. By jointly increasing the complexity and unpredictability of the stimulus, the performance of an ERP BCI could be considerably improved. Brain–computer interface Event-related potential P300 Paradigm Qiu, Tianshuang aut Enthalten in Medical & biological engineering & computing Springer Berlin Heidelberg, 1977 55(2017), 12 vom: 28. Juni, Seite 2245-2256 (DE-627)129858552 (DE-600)282327-5 (DE-576)015165507 0140-0118 nnns volume:55 year:2017 number:12 day:28 month:06 pages:2245-2256 https://doi.org/10.1007/s11517-017-1671-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-MAT GBV_ILN_70 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4219 AR 55 2017 12 28 06 2245-2256 |
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10.1007/s11517-017-1671-5 doi (DE-627)OLC2038697167 (DE-He213)s11517-017-1671-5-p DE-627 ger DE-627 rakwb eng 610 660 570 VZ 12 ssgn Ma, Zheng verfasserin aut Performance improvement of ERP-based brain–computer interface via varied geometric patterns 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © International Federation for Medical and Biological Engineering 2017 Abstract Recently, many studies have been focusing on optimizing the stimulus of an event-related potential (ERP)-based brain–computer interface (BCI). However, little is known about the effectiveness when increasing the stimulus unpredictability. We investigated a new stimulus type of varied geometric pattern where both complexity and unpredictability of the stimulus are increased. The proposed and classical paradigms were compared in within-subject experiments with 16 healthy participants. Results showed that the BCI performance was significantly improved for the proposed paradigm, with an average online written symbol rate increasing by 138% comparing with that of the classical paradigm. Amplitudes of primary ERP components, such as N1, P2a, P2b, N2, were also found to be significantly enhanced with the proposed paradigm. In this paper, a novel ERP BCI paradigm with a new stimulus type of varied geometric pattern is proposed. By jointly increasing the complexity and unpredictability of the stimulus, the performance of an ERP BCI could be considerably improved. Brain–computer interface Event-related potential P300 Paradigm Qiu, Tianshuang aut Enthalten in Medical & biological engineering & computing Springer Berlin Heidelberg, 1977 55(2017), 12 vom: 28. Juni, Seite 2245-2256 (DE-627)129858552 (DE-600)282327-5 (DE-576)015165507 0140-0118 nnns volume:55 year:2017 number:12 day:28 month:06 pages:2245-2256 https://doi.org/10.1007/s11517-017-1671-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-MAT GBV_ILN_70 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4219 AR 55 2017 12 28 06 2245-2256 |
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10.1007/s11517-017-1671-5 doi (DE-627)OLC2038697167 (DE-He213)s11517-017-1671-5-p DE-627 ger DE-627 rakwb eng 610 660 570 VZ 12 ssgn Ma, Zheng verfasserin aut Performance improvement of ERP-based brain–computer interface via varied geometric patterns 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © International Federation for Medical and Biological Engineering 2017 Abstract Recently, many studies have been focusing on optimizing the stimulus of an event-related potential (ERP)-based brain–computer interface (BCI). However, little is known about the effectiveness when increasing the stimulus unpredictability. We investigated a new stimulus type of varied geometric pattern where both complexity and unpredictability of the stimulus are increased. The proposed and classical paradigms were compared in within-subject experiments with 16 healthy participants. Results showed that the BCI performance was significantly improved for the proposed paradigm, with an average online written symbol rate increasing by 138% comparing with that of the classical paradigm. Amplitudes of primary ERP components, such as N1, P2a, P2b, N2, were also found to be significantly enhanced with the proposed paradigm. In this paper, a novel ERP BCI paradigm with a new stimulus type of varied geometric pattern is proposed. By jointly increasing the complexity and unpredictability of the stimulus, the performance of an ERP BCI could be considerably improved. Brain–computer interface Event-related potential P300 Paradigm Qiu, Tianshuang aut Enthalten in Medical & biological engineering & computing Springer Berlin Heidelberg, 1977 55(2017), 12 vom: 28. Juni, Seite 2245-2256 (DE-627)129858552 (DE-600)282327-5 (DE-576)015165507 0140-0118 nnns volume:55 year:2017 number:12 day:28 month:06 pages:2245-2256 https://doi.org/10.1007/s11517-017-1671-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-MAT GBV_ILN_70 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4219 AR 55 2017 12 28 06 2245-2256 |
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Abstract Recently, many studies have been focusing on optimizing the stimulus of an event-related potential (ERP)-based brain–computer interface (BCI). However, little is known about the effectiveness when increasing the stimulus unpredictability. We investigated a new stimulus type of varied geometric pattern where both complexity and unpredictability of the stimulus are increased. The proposed and classical paradigms were compared in within-subject experiments with 16 healthy participants. Results showed that the BCI performance was significantly improved for the proposed paradigm, with an average online written symbol rate increasing by 138% comparing with that of the classical paradigm. Amplitudes of primary ERP components, such as N1, P2a, P2b, N2, were also found to be significantly enhanced with the proposed paradigm. In this paper, a novel ERP BCI paradigm with a new stimulus type of varied geometric pattern is proposed. By jointly increasing the complexity and unpredictability of the stimulus, the performance of an ERP BCI could be considerably improved. © International Federation for Medical and Biological Engineering 2017 |
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Abstract Recently, many studies have been focusing on optimizing the stimulus of an event-related potential (ERP)-based brain–computer interface (BCI). However, little is known about the effectiveness when increasing the stimulus unpredictability. We investigated a new stimulus type of varied geometric pattern where both complexity and unpredictability of the stimulus are increased. The proposed and classical paradigms were compared in within-subject experiments with 16 healthy participants. Results showed that the BCI performance was significantly improved for the proposed paradigm, with an average online written symbol rate increasing by 138% comparing with that of the classical paradigm. Amplitudes of primary ERP components, such as N1, P2a, P2b, N2, were also found to be significantly enhanced with the proposed paradigm. In this paper, a novel ERP BCI paradigm with a new stimulus type of varied geometric pattern is proposed. By jointly increasing the complexity and unpredictability of the stimulus, the performance of an ERP BCI could be considerably improved. © International Federation for Medical and Biological Engineering 2017 |
| abstract_unstemmed |
Abstract Recently, many studies have been focusing on optimizing the stimulus of an event-related potential (ERP)-based brain–computer interface (BCI). However, little is known about the effectiveness when increasing the stimulus unpredictability. We investigated a new stimulus type of varied geometric pattern where both complexity and unpredictability of the stimulus are increased. The proposed and classical paradigms were compared in within-subject experiments with 16 healthy participants. Results showed that the BCI performance was significantly improved for the proposed paradigm, with an average online written symbol rate increasing by 138% comparing with that of the classical paradigm. Amplitudes of primary ERP components, such as N1, P2a, P2b, N2, were also found to be significantly enhanced with the proposed paradigm. In this paper, a novel ERP BCI paradigm with a new stimulus type of varied geometric pattern is proposed. By jointly increasing the complexity and unpredictability of the stimulus, the performance of an ERP BCI could be considerably improved. © International Federation for Medical and Biological Engineering 2017 |
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| title_short |
Performance improvement of ERP-based brain–computer interface via varied geometric patterns |
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https://doi.org/10.1007/s11517-017-1671-5 |
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Qiu, Tianshuang |
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