Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training.
Johannes BurchertThorben WernerVijaya Krishna YalavarthiDiego Coello de PortugalMaximilian StubbemannLars Schmidt-ThiemePublished in: CoRR (2024)
Keyphrases
- eeg signals
- single trial
- training phase
- classification models
- autoregressive
- eeg data
- motor imagery
- spatial filters
- training samples
- dynamic time warping
- classification accuracy
- temporal dependencies
- signal processing
- decision trees
- active learning
- multidimensional time series
- training set
- multi variate
- machine learning algorithms
- moving average
- neural network
- pattern recognition
- supervised learning
- sleep stage
- machine learning
- temporal sequences
- box jenkins
- multi layer perceptron
- training process
- text classification
- machine learning methods
- model selection
- stock price
- brain computer interface
- support vector machine
- hidden markov models
- image classification
- brain activity
- sequence matching
- spectral features
- discrete hidden markov models
- healthy subjects
- discriminative classifiers
- subsequence matching
- sequential data
- temporal patterns
- non stationary
- training examples
- probabilistic model
- feature vectors
- artificial neural networks
- support vector