Research on Ocular Artifacts Removal from Single-Channel Electroencephalogram Signals in Obstructive Sleep Apnea Patients Based on Support Vector Machine, Improved Variational Mode Decomposition, and Second-Order Blind Identification.
Xin XiongZhiran SunAikun WangJiancong ZhangJing ZhangChunwu WangJianfeng HePublished in: Sensors (2024)
Keyphrases
- single channel
- obstructive sleep apnea
- eeg signals
- brain activity
- multi channel
- brain computer interface
- support vector machine
- sleep apnea
- independent component analysis
- frequency domain
- signal processing
- wavelet decomposition
- radial basis function neural network
- optical flow
- machine learning
- prior information
- support vector machine svm
- wiener filter
- image processing
- feature selection
- high frequency
- feature space
- eeg data
- epileptic seizures
- hilbert huang transform