Classification of gait patterns between patients with Parkinson's disease and healthy controls using phase space reconstruction (PSR), empirical mode decomposition (EMD) and neural networks.
Wei ZengChengzhi YuanQinghui WangFenglin LiuYing WangPublished in: Neural Networks (2019)
Keyphrases
- empirical mode decomposition
- healthy controls
- neural network
- non stationary
- eeg signals
- pattern recognition
- fold cross validation
- functional magnetic resonance imaging
- pattern classification
- hilbert huang transform
- multi band
- artificial neural networks
- feed forward
- support vector machine
- classification accuracy
- feature extraction
- wavelet decomposition
- support vector machine svm
- feature vectors
- back propagation
- signal processing
- feature set
- dimensionality reduction
- face recognition
- mild cognitive impairment
- feature selection
- machine learning