A New Paradigm for Region-Based P300 Speller in Brain Computer Interface
Electroencephalography-based brain computer interface systems could provide alternative communication methods for severely disabled people who cannot use their neuromuscular systems. The P300 signal is one of the event related potentials that are used for brain computer interface systems. The most i...
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8787846/ |
| _version_ | 1811273970696060928 |
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| author | Zeki Oralhan |
| author_facet | Zeki Oralhan |
| author_sort | Zeki Oralhan |
| collection | DOAJ |
| description | Electroencephalography-based brain computer interface systems could provide alternative communication methods for severely disabled people who cannot use their neuromuscular systems. The P300 signal is one of the event related potentials that are used for brain computer interface systems. The most important performance parameter of a P300 based brain computer interface system is information transfer rate that is calculated by using classification accuracy and P300 signal detection time. Moreover, P300 speller has a very critical role for classification accuracy and information transfer rate in a P300 based brain computer interface. Although most of studies are about row column based P300 speller in literature, region based P300 speller proved that has higher classification accuracy than row column based one. There are very few studies about region based P300 speller. This study aims to investigate methods for obtaining higher classification accuracy and information transfer rate with using region based P300 speller that constituted audio and visual stimulus. This is the first research that using audio and visual stimulus for a region based P300 speller in literature. Previous studies about region based P300 spellers focused on spellers with only visual stimulus types. Our new paradigm presents region based P300 spellers with only audio, only visual, and audio-visual stimuli. Audio-visual P300 speller structure is the newest model for region based spellers. The subject focused on the desired character stimulus. We used the stepwise linear discriminant analysis method for classification that either included the desired P300 signal or not. According to stepwise linear discriminant analysis, the mean classification accuracy value of the experiment was 90.31% with the audio-visual region based P300 speller. With this new paradigm, classification accuracy in the audio-visual P300 speller was improved 15.69% and 66,99% according to the visual only and audio only P300 speller that we used in the experiments, respectively. |
| first_indexed | 2024-04-12T23:10:15Z |
| format | Article |
| id | doaj.art-40e2f3eafa0343229332ebc7c55144fc |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-12T23:10:15Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-40e2f3eafa0343229332ebc7c55144fc2022-12-22T03:12:49ZengIEEEIEEE Access2169-35362019-01-01710661810662710.1109/ACCESS.2019.29330498787846A New Paradigm for Region-Based P300 Speller in Brain Computer InterfaceZeki Oralhan0https://orcid.org/0000-0003-2841-6115Department of Electrical Electronics Engineering, Nuh Naci Yazgan University, Kayseri, TurkeyElectroencephalography-based brain computer interface systems could provide alternative communication methods for severely disabled people who cannot use their neuromuscular systems. The P300 signal is one of the event related potentials that are used for brain computer interface systems. The most important performance parameter of a P300 based brain computer interface system is information transfer rate that is calculated by using classification accuracy and P300 signal detection time. Moreover, P300 speller has a very critical role for classification accuracy and information transfer rate in a P300 based brain computer interface. Although most of studies are about row column based P300 speller in literature, region based P300 speller proved that has higher classification accuracy than row column based one. There are very few studies about region based P300 speller. This study aims to investigate methods for obtaining higher classification accuracy and information transfer rate with using region based P300 speller that constituted audio and visual stimulus. This is the first research that using audio and visual stimulus for a region based P300 speller in literature. Previous studies about region based P300 spellers focused on spellers with only visual stimulus types. Our new paradigm presents region based P300 spellers with only audio, only visual, and audio-visual stimuli. Audio-visual P300 speller structure is the newest model for region based spellers. The subject focused on the desired character stimulus. We used the stepwise linear discriminant analysis method for classification that either included the desired P300 signal or not. According to stepwise linear discriminant analysis, the mean classification accuracy value of the experiment was 90.31% with the audio-visual region based P300 speller. With this new paradigm, classification accuracy in the audio-visual P300 speller was improved 15.69% and 66,99% according to the visual only and audio only P300 speller that we used in the experiments, respectively.https://ieeexplore.ieee.org/document/8787846/Brain computer interfaceP300Human machine systemsP300 Speller |
| spellingShingle | Zeki Oralhan A New Paradigm for Region-Based P300 Speller in Brain Computer Interface IEEE Access Brain computer interface P300 Human machine systems P300 Speller |
| title | A New Paradigm for Region-Based P300 Speller in Brain Computer Interface |
| title_full | A New Paradigm for Region-Based P300 Speller in Brain Computer Interface |
| title_fullStr | A New Paradigm for Region-Based P300 Speller in Brain Computer Interface |
| title_full_unstemmed | A New Paradigm for Region-Based P300 Speller in Brain Computer Interface |
| title_short | A New Paradigm for Region-Based P300 Speller in Brain Computer Interface |
| title_sort | new paradigm for region based p300 speller in brain computer interface |
| topic | Brain computer interface P300 Human machine systems P300 Speller |
| url | https://ieeexplore.ieee.org/document/8787846/ |
| work_keys_str_mv | AT zekioralhan anewparadigmforregionbasedp300spellerinbraincomputerinterface AT zekioralhan newparadigmforregionbasedp300spellerinbraincomputerinterface |