ArticleBrain computer interfaces (Abingdon, England)2017
Enhancing P300-BCI performance using latency estimation.
Article in Brain computer interfaces (Abingdon, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Bayesian Inference on Brain-Computer Interfaces via GLASS.Journal of the American Statistical Association · 2025Article
- Article
- Ten-Hour Stable Noninvasive Brain-Computer Interface Realized by Semidry Hydrogel-Based Electrodes.Research (Washington, D.C.) · 2022Article
- A Comparison of Classification Techniques to Predict Brain-Computer Interfaces Accuracy Using Classifier-Based Latency Estimation.Brain sciences · 2020Article
- A comparison of feature extraction strategies using wavelet dictionaries and feature selection methods for single trial P300-based BCI.Medical & biological engineering & computing · 2019Article
- Portable Drowsiness Detection through Use of a Prefrontal Single-Channel Electroencephalogram.Sensors (Basel, Switzerland) · 2018Article
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Authors and funding
3 authors.
Funding
Abstract
Brain Computer Interfaces (BCIs) offer restoration of communication to those with the most severe movement impairments, but performance is not yet ideal. Previous work has demonstrated that latency jitter, the variation in timing of the brain responses, plays a critical role in determining BCI performance. In this study, we used Classifier-Based Latency Estimation (CBLE) and a wavelet transform to provide information about latency jitter to a second-level classifier. Three second-level classifiers were tested: least squares (LS), step-wise linear discriminant analysis (SWLDA), and support vector machine (SVM). Of these three, LS and SWLDA performed better than the original online classifier. The resulting combination demonstrated improved detection of brain responses for many participants, resulting in better BCI performance. Interestingly, the performance gain was greatest for those individuals for whom the BCI did not work well online, indicating that this method may be most suitable for improving performance of otherwise marginal participants.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.