Low-Power Hardware Implementation of a Support Vector Machine Training and Classification for Neural Seizure Detection.
Heba ElhosaryMichael H. ZakhariMohamed A. ElgammalMohamed A. Abd El GhanyKhaled N. SalamaHassan MostafaPublished in: IEEE Trans. Biomed. Circuits Syst. (2019)
Keyphrases
- low power
- hardware implementation
- support vector machine
- power consumption
- training set
- low cost
- high speed
- classification method
- support vector machine svm
- svm classifier
- support vector
- single chip
- feature vectors
- software implementation
- efficient implementation
- signal processing
- feature space
- dedicated hardware
- digital signal processing
- pattern recognition
- training data
- feature selection
- neural network
- eeg signals
- field programmable gate array
- machine learning
- computer vision
- knn
- feature extraction
- logic circuits
- ultra low power