Performance improvement of ERP-based brain-computer interface via varied geometric patterns.
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 patte...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 55; no. 12; pp. 2245 - 2257 |
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| Autores principales: | , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Dec2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=126132861&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 126132861 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Dec2017 vid: 55 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 126132861 126132861 144118725 NLM28656392 126132861 10.1007/s11517-017-1671-5 NLM28656392 126132861 ppf: 2245 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Performance improvement of ERP-based brain-computer interface via varied geometric patterns. aug: au: Ma, Zheng Qiu, Tianshuang affil: Shenzhen Institutes of Advanced Technology , Chinese Academy of Sciences , Shenzhen 518055 China sug: subj: Electroencephalography Methods Evoked Potentials Physiology Signal Processing, Computer Assisted Brain-Computer Interfaces Adult Female Male Young Adult Funding Source Human Adult: 19-44 years Female Male ab: 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. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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