A feasible classification algorithm for event-related potential (ERP) based brain-computer-interface (BCI) from IFMBE scientific challenge dataset
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ID-9's LDA was the top-performing classification algorithm and was used to classify the P300 event for each trial.
“LDA was the top-performing classification algorithm for ID-9 and was used to classify the P300 event for each trial.”
From BCIAUT-P300: A Multi-Session and Multi-Subject Benchmark Dataset on Autism for P300-Based Brain-Computer-Interfaces (2020) · cites this paper as Zhao et al., 2020
Cites
A review of classification algorithms for EEG-based brain–computer interfaces: A 10 year update
Lotte, F., Bougrain, L., Cichocki, A., Clerc, M., Congedo, M., Rakotomamonjy, A., & Yger, F. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aab2f2 · Cited by 2,239 · see citing works
Friedrich, E. V. C., Suttie, N., Sivanathan, A., Lim, T., Louchart, S., & Pineda, J. A. (2014) · Frontiers in Neuroengineering · doi:10.3389/fneng.2014.00021 · Cited by 99 · see citing works
Amaral, C., Mouga, S., Simões, M., Pereira, H. C., Bernardino, I., Quental, H., Playle, R., McNamara, R., Oliveira, G., & Castelo-Branco, M. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00477 · Cited by 94 · see citing works
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Simões, M., Borra, D., Santamaría-Vázquez, E., GBT-UPM, Bittencourt-Villalpando, M., Krzemiński, D., Miladinović, A., Neural_Engineering_Group, Schmid, T., Zhao, H., et al. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.568104 · Cited by 72 · see citing works
Self-citation
- Authors
- Zhao, H., Yu, S., Prinable, J., McEwan, A., & Karlsson, P.
- Affiliations
- The University of Sydney (AU)
- Corresponding author
- Zhao, Haifeng
- Venue
- IFMBE Proceedings
- Publisher
- Springer International Publishing
- Published
- 2019-09-25
- Pages
- 1861-1868
- ISSN
- 1433-9277 (ISSN-L)
- 1680-0737
- OpenAlex
- W2974958208
- Cited by
- 9
- References
- 3
- Citations by year
- 2025: 2 · 2023: 2 · 2022: 2 · 2020: 2 · 2019: 1
- FWCI
- 2.15
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Keywords
- event-related potentials, brain-computer interface, ERP classification, linear discriminant analysis, support vector machine, convolutional neural networks, long short-term memory, EEG classification
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