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Sequential Probability Ratio Testing with Power Projective Base Method Improves Decision-Making for BCI
- Source :
- Computational and Mathematical Methods in Medicine, Computational and Mathematical Methods in Medicine, Vol 2017 (2017)
- Publication Year :
- 2017
- Publisher :
- Hindawi Limited, 2017.
-
Abstract
- Obtaining a fast and reliable decision is an important issue in brain-computer interfaces (BCI), particularly in practical real-time applications such as wheelchair or neuroprosthetic control. In this study, the EEG signals were firstly analyzed with a power projective base method. Then we were applied a decision-making model, the sequential probability ratio testing (SPRT), for single-trial classification of motor imagery movement events. The unique strength of this proposed classification method lies in its accumulative process, which increases the discriminative power as more and more evidence is observed over time. The properties of the method were illustrated on thirteen subjects’ recordings from three datasets. Results showed that our proposed power projective method outperformed two benchmark methods for every subject. Moreover, with sequential classifier, the accuracies across subjects were significantly higher than that with nonsequential ones. The average maximum accuracy of the SPRT method was 84.1%, as compared with 82.3% accuracy for the sequential Bayesian (SB) method. The proposed SPRT method provides an explicit relationship between stopping time, thresholds, and error, which is important for balancing the time-accuracy trade-off. These results suggest SPRT would be useful in speeding up decision-making while trading off errors in BCI.
- Subjects :
- Article Subject
Movement
Decision Making
0206 medical engineering
Bayesian probability
02 engineering and technology
Motor Activity
lcsh:Computer applications to medicine. Medical informatics
General Biochemistry, Genetics and Molecular Biology
Machine Learning
03 medical and health sciences
Bayes' theorem
0302 clinical medicine
Motor imagery
Discriminative model
Stopping time
Humans
Projective test
Probability
Mathematics
Brain–computer interface
Signal processing
General Immunology and Microbiology
Applied Mathematics
Reproducibility of Results
Bayes Theorem
Electroencephalography
Signal Processing, Computer-Assisted
General Medicine
020601 biomedical engineering
Wheelchairs
Brain-Computer Interfaces
Modeling and Simulation
lcsh:R858-859.7
Algorithm
Algorithms
030217 neurology & neurosurgery
Research Article
Subjects
Details
- ISSN :
- 17486718 and 1748670X
- Volume :
- 2017
- Database :
- OpenAIRE
- Journal :
- Computational and Mathematical Methods in Medicine
- Accession number :
- edsair.doi.dedup.....9e4346d3e4ef5b9bc1ccbc13887892e4