A Nano-Watt ECG Feature Extraction Engine in 65-nm Technology.
Temesghen TekesteHani H. SalehBaker MohammadAhsan KhandokerMohammed IsmailPublished in: IEEE Trans. Circuits Syst. II Express Briefs (2018)
Keyphrases
- feature extraction
- nm technology
- power consumption
- preprocessing
- low power
- image classification
- pattern classification
- image processing
- nano scale
- discriminant analysis
- wavelet transform
- support vector machine svm
- monitoring system
- principal component analysis
- feature vectors
- dimensionality reduction
- computer vision
- face recognition
- frequency domain
- linear feature extraction
- pattern recognition
- extracted features
- electron microscopy
- gabor filters
- air fuel ratio
- power dissipation
- ecg signals
- feature representation
- data flow
- high speed
- efficient implementation
- linear discriminant analysis
- feature set