A Wearable High Blood Pressure Classification Processor Using Photoplethysmogram Signals through Power Spectral Density Features.
Muhammad SheerazAbdul Rehman AslamNauman HafeezHadi HeidariMuhammad Awais Bin AltafPublished in: AICAS (2022)
Keyphrases
- power spectral density
- blood pressure
- feature extraction
- heart rate
- feature set
- spectral analysis
- feature vectors
- classification accuracy
- feature space
- eeg signals
- pattern recognition
- fourier transform
- feature selection
- signal processing
- machine learning
- machine learning methods
- image classification
- frequency band
- support vector machine
- power spectrum
- statistical analysis
- risk factors
- dimensionality reduction
- support vector