Automatic Detection of High-Frequency Oscillations Based on an End-to-End Bi-Branch Neural Network and Clinical Cross-Validation.
Zimo LiuPenghu WeiYiping WangYanfeng YangYang DaiGongpeng CaoGuixia KangYongzhi ShanDa LiuYongzhao XiePublished in: Comput. Intell. Neurosci. (2021)
Keyphrases
- automatic detection
- end to end
- cross validation
- high frequency
- low frequency
- neural network
- model selection
- visual quality
- wavelet transform
- high resolution
- wavelet coefficients
- support vector
- high frequency components
- training set
- subband
- congestion control
- clinical practice
- discrete wavelet transform
- neural network model
- radial basis function
- information criterion
- low pass
- machine learning
- data mining
- multiscale
- frequency domain
- clinical setting
- support vector machine
- real world
- feature selection
- similarity measure
- data sets