EEG-Based Target Detection Using an RSVP Paradigm under Five Levels of Weak Hidden Conditions
Although target detection based on electroencephalogram (EEG) signals has been extensively investigated recently, EEG-based target detection under weak hidden conditions remains a problem. In this paper, we proposed a rapid serial visual presentation (RSVP) paradigm for target detection correspondin...
| Main Authors: | , , , , , |
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| Format: | Article |
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MDPI AG
2023-11-01
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| Series: | Brain Sciences |
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| Online Access: | https://www.mdpi.com/2076-3425/13/11/1583 |
| _version_ | 1797459887759818752 |
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| author | Jinling Lian Xin Qiao Yuwei Zhao Siwei Li Changyong Wang Jin Zhou |
| author_facet | Jinling Lian Xin Qiao Yuwei Zhao Siwei Li Changyong Wang Jin Zhou |
| author_sort | Jinling Lian |
| collection | DOAJ |
| description | Although target detection based on electroencephalogram (EEG) signals has been extensively investigated recently, EEG-based target detection under weak hidden conditions remains a problem. In this paper, we proposed a rapid serial visual presentation (RSVP) paradigm for target detection corresponding to five levels of weak hidden conditions quantitively based on the RGB color space. Eighteen subjects participated in the experiment, and the neural signatures, including P300 amplitude and latency, were investigated. Detection performance was evaluated under five levels of weak hidden conditions using the linear discrimination analysis and support vector machine classifiers on different channel sets. The experimental results showed that, compared with the benchmark condition, (1) the P300 amplitude significantly decreased (8.92 ± 1.24 μV versus 7.84 ± 1.40 μV, <i>p</i> = 0.021) and latency was significantly prolonged (582.39 ± 25.02 ms versus 643.83 ± 26.16 ms, <i>p</i> = 0.028) only under the weakest hidden condition, and (2) the detection accuracy decreased by less than 2% (75.04 ± 3.24% versus 73.35 ± 3.15%, <i>p</i> = 0.029) with a more than 90% reduction in channel number (62 channels versus 6 channels), determined using the proposed channel selection method under the weakest hidden condition. Our study can provide new insights into target detection under weak hidden conditions based on EEG signals with a rapid serial visual presentation paradigm. In addition, it may expand the application of brain–computer interfaces in EEG-based target detection areas. |
| first_indexed | 2024-03-09T16:58:20Z |
| format | Article |
| id | doaj.art-1e0feff5f1174534805b66f8849bfe1d |
| institution | Directory Open Access Journal |
| issn | 2076-3425 |
| language | English |
| last_indexed | 2024-03-09T16:58:20Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Brain Sciences |
| spelling | doaj.art-1e0feff5f1174534805b66f8849bfe1d2023-11-24T14:32:49ZengMDPI AGBrain Sciences2076-34252023-11-011311158310.3390/brainsci13111583EEG-Based Target Detection Using an RSVP Paradigm under Five Levels of Weak Hidden ConditionsJinling Lian0Xin Qiao1Yuwei Zhao2Siwei Li3Changyong Wang4Jin Zhou5Department of Neural Engineering and Biological Interdisciplinary Studies, Beijing Institute of Basic Medical Sciences, 27 Taiping Rd., Beijing 100850, ChinaDepartment of Neural Engineering and Biological Interdisciplinary Studies, Beijing Institute of Basic Medical Sciences, 27 Taiping Rd., Beijing 100850, ChinaDepartment of Neural Engineering and Biological Interdisciplinary Studies, Beijing Institute of Basic Medical Sciences, 27 Taiping Rd., Beijing 100850, ChinaDepartment of Neural Engineering and Biological Interdisciplinary Studies, Beijing Institute of Basic Medical Sciences, 27 Taiping Rd., Beijing 100850, ChinaDepartment of Neural Engineering and Biological Interdisciplinary Studies, Beijing Institute of Basic Medical Sciences, 27 Taiping Rd., Beijing 100850, ChinaDepartment of Neural Engineering and Biological Interdisciplinary Studies, Beijing Institute of Basic Medical Sciences, 27 Taiping Rd., Beijing 100850, ChinaAlthough target detection based on electroencephalogram (EEG) signals has been extensively investigated recently, EEG-based target detection under weak hidden conditions remains a problem. In this paper, we proposed a rapid serial visual presentation (RSVP) paradigm for target detection corresponding to five levels of weak hidden conditions quantitively based on the RGB color space. Eighteen subjects participated in the experiment, and the neural signatures, including P300 amplitude and latency, were investigated. Detection performance was evaluated under five levels of weak hidden conditions using the linear discrimination analysis and support vector machine classifiers on different channel sets. The experimental results showed that, compared with the benchmark condition, (1) the P300 amplitude significantly decreased (8.92 ± 1.24 μV versus 7.84 ± 1.40 μV, <i>p</i> = 0.021) and latency was significantly prolonged (582.39 ± 25.02 ms versus 643.83 ± 26.16 ms, <i>p</i> = 0.028) only under the weakest hidden condition, and (2) the detection accuracy decreased by less than 2% (75.04 ± 3.24% versus 73.35 ± 3.15%, <i>p</i> = 0.029) with a more than 90% reduction in channel number (62 channels versus 6 channels), determined using the proposed channel selection method under the weakest hidden condition. Our study can provide new insights into target detection under weak hidden conditions based on EEG signals with a rapid serial visual presentation paradigm. In addition, it may expand the application of brain–computer interfaces in EEG-based target detection areas.https://www.mdpi.com/2076-3425/13/11/1583electroencephalogramevent-related potentialrapid serial visual presentationtarget detectionweak hidden conditions |
| spellingShingle | Jinling Lian Xin Qiao Yuwei Zhao Siwei Li Changyong Wang Jin Zhou EEG-Based Target Detection Using an RSVP Paradigm under Five Levels of Weak Hidden Conditions Brain Sciences electroencephalogram event-related potential rapid serial visual presentation target detection weak hidden conditions |
| title | EEG-Based Target Detection Using an RSVP Paradigm under Five Levels of Weak Hidden Conditions |
| title_full | EEG-Based Target Detection Using an RSVP Paradigm under Five Levels of Weak Hidden Conditions |
| title_fullStr | EEG-Based Target Detection Using an RSVP Paradigm under Five Levels of Weak Hidden Conditions |
| title_full_unstemmed | EEG-Based Target Detection Using an RSVP Paradigm under Five Levels of Weak Hidden Conditions |
| title_short | EEG-Based Target Detection Using an RSVP Paradigm under Five Levels of Weak Hidden Conditions |
| title_sort | eeg based target detection using an rsvp paradigm under five levels of weak hidden conditions |
| topic | electroencephalogram event-related potential rapid serial visual presentation target detection weak hidden conditions |
| url | https://www.mdpi.com/2076-3425/13/11/1583 |
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