Window-Adjusted Common Spatial Pattern for Detecting Error-Related Potentials in P300 BCI Article Swipe
Zhihua Huang
,
Minghong Li
,
Wenming Zheng
,
Yingjie Wu
,
Kun Jiang
,
Huiru Zheng
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1007/s11063-023-11353-7
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1007/s11063-023-11353-7
Under certain task conditions, error-related potential (ErrP) will be elicited, meaning that the subject is perceiving an error, responding to an external error, or engaging in a cognitive process of reinforcement learning. The detection of ErrP on a single trial basis has been studied and applied to improve all kinds of brain–computer interfaces (BCIs). However, the performance of this kind of detection is not currently good enough. In the paper, we proposed a novel method, called window-adjusted common spatial pattern (WACSP), for detecting ErrP in P300 BCI. In this method, the coefficient of determination was introduced to measure the difference of Electroencephalogram (EEG) signals on a channel at a moment and to guide the search of time windows in which EEG differences are significant, and common spatial pattern (CSP) was further used to capture the stable spatial patterns of EEG differences between correct and incorrect responses in each time window. WACSP and the commonly used methods were tested on the data sets that were built using the EEG signals acquired during the P300 BCI experiments with different feedback. The comparisons of accuracy, area under receiver operating characteristics curve (AUC) and F-measure show that WACSP significantly outperforms the commonly used methods. The proposed method can improve ErrP detection based on a single trial.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s11063-023-11353-7
- https://link.springer.com/content/pdf/10.1007/s11063-023-11353-7.pdf
- OA Status
- hybrid
- References
- 38
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385717394
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4385717394Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1007/s11063-023-11353-7Digital Object Identifier
- Title
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Window-Adjusted Common Spatial Pattern for Detecting Error-Related Potentials in P300 BCIWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-08-08Full publication date if available
- Authors
-
Zhihua Huang, Minghong Li, Wenming Zheng, Yingjie Wu, Kun Jiang, Huiru ZhengList of authors in order
- Landing page
-
https://doi.org/10.1007/s11063-023-11353-7Publisher landing page
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https://link.springer.com/content/pdf/10.1007/s11063-023-11353-7.pdfDirect link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://link.springer.com/content/pdf/10.1007/s11063-023-11353-7.pdfDirect OA link when available
- Concepts
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Brain–computer interface, Electroencephalography, Computer science, Contrast (vision), Artificial intelligence, Pattern recognition (psychology), Psychology, PsychiatryTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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38Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2057509043, https://openalex.org/W2165389751, https://openalex.org/W2794542090, https://openalex.org/W2975049979, https://openalex.org/W2071583576, https://openalex.org/W2946737085, https://openalex.org/W1987883337, https://openalex.org/W1966086907, https://openalex.org/W2130847623, https://openalex.org/W2141840333, https://openalex.org/W2092064877, https://openalex.org/W2246170000, https://openalex.org/W2757114988, https://openalex.org/W2606655263, https://openalex.org/W2920396602, https://openalex.org/W2912013430, https://openalex.org/W2963341330, https://openalex.org/W2898324619, https://openalex.org/W2989855948, https://openalex.org/W3004839160, https://openalex.org/W2075647286, https://openalex.org/W2794345050, https://openalex.org/W2894618259, https://openalex.org/W1971274817, https://openalex.org/W1995506038, https://openalex.org/W2059728256, https://openalex.org/W2104063964, https://openalex.org/W2152171700, https://openalex.org/W2566961903, https://openalex.org/W2989685331, https://openalex.org/W2170821486, https://openalex.org/W2151669316, https://openalex.org/W2098100592, https://openalex.org/W2158655338, https://openalex.org/W2150823344, https://openalex.org/W2046649434, https://openalex.org/W2158698691, https://openalex.org/W2131251829 |
| referenced_works_count | 38 |
| abstract_inverted_index.a | 27, 38, 73, 106, 109, 210 |
| abstract_inverted_index.In | 68, 88 |
| abstract_inverted_index.an | 17, 21 |
| abstract_inverted_index.at | 108 |
| abstract_inverted_index.be | 9 |
| abstract_inverted_index.in | 26, 85, 119, 147 |
| abstract_inverted_index.is | 15, 63 |
| abstract_inverted_index.of | 30, 35, 51, 58, 61, 93, 101, 116, 139, 181 |
| abstract_inverted_index.on | 37, 105, 159, 209 |
| abstract_inverted_index.or | 24 |
| abstract_inverted_index.to | 20, 47, 97, 112, 133 |
| abstract_inverted_index.we | 71 |
| abstract_inverted_index.BCI | 174 |
| abstract_inverted_index.EEG | 121, 140, 168 |
| abstract_inverted_index.The | 33, 179, 201 |
| abstract_inverted_index.all | 49 |
| abstract_inverted_index.and | 45, 111, 125, 144, 152, 190 |
| abstract_inverted_index.are | 123 |
| abstract_inverted_index.can | 204 |
| abstract_inverted_index.for | 82 |
| abstract_inverted_index.has | 42 |
| abstract_inverted_index.not | 64 |
| abstract_inverted_index.the | 13, 56, 69, 91, 99, 114, 135, 153, 160, 167, 172, 197 |
| abstract_inverted_index.was | 95, 130 |
| abstract_inverted_index.BCI. | 87 |
| abstract_inverted_index.ErrP | 36, 84, 206 |
| abstract_inverted_index.P300 | 86, 173 |
| abstract_inverted_index.area | 183 |
| abstract_inverted_index.been | 43 |
| abstract_inverted_index.data | 161 |
| abstract_inverted_index.each | 148 |
| abstract_inverted_index.good | 66 |
| abstract_inverted_index.kind | 60 |
| abstract_inverted_index.sets | 162 |
| abstract_inverted_index.show | 192 |
| abstract_inverted_index.task | 3 |
| abstract_inverted_index.that | 12, 163, 193 |
| abstract_inverted_index.this | 59, 89 |
| abstract_inverted_index.time | 117, 149 |
| abstract_inverted_index.used | 132, 155, 199 |
| abstract_inverted_index.were | 157, 164 |
| abstract_inverted_index.will | 8 |
| abstract_inverted_index.with | 176 |
| abstract_inverted_index.(AUC) | 189 |
| abstract_inverted_index.(CSP) | 129 |
| abstract_inverted_index.(EEG) | 103 |
| abstract_inverted_index.Under | 1 |
| abstract_inverted_index.WACSP | 151, 194 |
| abstract_inverted_index.based | 208 |
| abstract_inverted_index.basis | 41 |
| abstract_inverted_index.built | 165 |
| abstract_inverted_index.curve | 188 |
| abstract_inverted_index.guide | 113 |
| abstract_inverted_index.kinds | 50 |
| abstract_inverted_index.novel | 74 |
| abstract_inverted_index.trial | 40 |
| abstract_inverted_index.under | 184 |
| abstract_inverted_index.using | 166 |
| abstract_inverted_index.which | 120 |
| abstract_inverted_index.(ErrP) | 7 |
| abstract_inverted_index.called | 76 |
| abstract_inverted_index.common | 78, 126 |
| abstract_inverted_index.during | 171 |
| abstract_inverted_index.error, | 18, 23 |
| abstract_inverted_index.method | 203 |
| abstract_inverted_index.moment | 110 |
| abstract_inverted_index.paper, | 70 |
| abstract_inverted_index.search | 115 |
| abstract_inverted_index.single | 39, 211 |
| abstract_inverted_index.stable | 136 |
| abstract_inverted_index.tested | 158 |
| abstract_inverted_index.trial. | 212 |
| abstract_inverted_index.(BCIs). | 54 |
| abstract_inverted_index.applied | 46 |
| abstract_inverted_index.between | 142 |
| abstract_inverted_index.capture | 134 |
| abstract_inverted_index.certain | 2 |
| abstract_inverted_index.channel | 107 |
| abstract_inverted_index.correct | 143 |
| abstract_inverted_index.enough. | 67 |
| abstract_inverted_index.further | 131 |
| abstract_inverted_index.improve | 48, 205 |
| abstract_inverted_index.meaning | 11 |
| abstract_inverted_index.measure | 98 |
| abstract_inverted_index.method, | 75, 90 |
| abstract_inverted_index.methods | 156 |
| abstract_inverted_index.pattern | 80, 128 |
| abstract_inverted_index.process | 29 |
| abstract_inverted_index.signals | 104, 169 |
| abstract_inverted_index.spatial | 79, 127, 137 |
| abstract_inverted_index.studied | 44 |
| abstract_inverted_index.subject | 14 |
| abstract_inverted_index.window. | 150 |
| abstract_inverted_index.windows | 118 |
| abstract_inverted_index.(WACSP), | 81 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.However, | 55 |
| abstract_inverted_index.acquired | 170 |
| abstract_inverted_index.commonly | 154, 198 |
| abstract_inverted_index.engaging | 25 |
| abstract_inverted_index.external | 22 |
| abstract_inverted_index.methods. | 200 |
| abstract_inverted_index.patterns | 138 |
| abstract_inverted_index.proposed | 72, 202 |
| abstract_inverted_index.receiver | 185 |
| abstract_inverted_index.F-measure | 191 |
| abstract_inverted_index.accuracy, | 182 |
| abstract_inverted_index.cognitive | 28 |
| abstract_inverted_index.currently | 65 |
| abstract_inverted_index.detecting | 83 |
| abstract_inverted_index.detection | 34, 62, 207 |
| abstract_inverted_index.different | 177 |
| abstract_inverted_index.elicited, | 10 |
| abstract_inverted_index.feedback. | 178 |
| abstract_inverted_index.incorrect | 145 |
| abstract_inverted_index.learning. | 32 |
| abstract_inverted_index.operating | 186 |
| abstract_inverted_index.potential | 6 |
| abstract_inverted_index.responses | 146 |
| abstract_inverted_index.difference | 100 |
| abstract_inverted_index.interfaces | 53 |
| abstract_inverted_index.introduced | 96 |
| abstract_inverted_index.perceiving | 16 |
| abstract_inverted_index.responding | 19 |
| abstract_inverted_index.coefficient | 92 |
| abstract_inverted_index.comparisons | 180 |
| abstract_inverted_index.conditions, | 4 |
| abstract_inverted_index.differences | 122, 141 |
| abstract_inverted_index.experiments | 175 |
| abstract_inverted_index.outperforms | 196 |
| abstract_inverted_index.performance | 57 |
| abstract_inverted_index.significant, | 124 |
| abstract_inverted_index.determination | 94 |
| abstract_inverted_index.error-related | 5 |
| abstract_inverted_index.reinforcement | 31 |
| abstract_inverted_index.significantly | 195 |
| abstract_inverted_index.characteristics | 187 |
| abstract_inverted_index.window-adjusted | 77 |
| abstract_inverted_index.brain–computer | 52 |
| abstract_inverted_index.Electroencephalogram | 102 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5056424666, https://openalex.org/A5024401909 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I138801177, https://openalex.org/I80947539 |
| citation_normalized_percentile.value | 0.12696915 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |