FNGLVQ FPGA design for sleep stages classification based on electrocardiogram signal.
M. Eka S.M. FajarMuhammad Iqbal TawakalWisnu JatmikoI. Md. AgusPublished in: SMC (2012)
Keyphrases
- ecg signals
- classification accuracy
- design methodology
- decision trees
- signal processing
- machine learning
- heart rate variability
- image classification
- automatic classification
- pattern classification
- classification algorithm
- class labels
- support vector machine svm
- support vector machine
- single chip
- preprocessing
- learning algorithm
- hardware design
- real time
- sleep stage
- embedded systems
- classification method
- training samples
- user interface
- feature selection
- neural network