A novel CS-NET architecture based on the unification of CNN, SVM and super-resolution spectrogram to monitor and classify blood pressure using photoplethysmography.
PankajAshish KumarRama KomaragiriManjeet KumarPublished in: Comput. Methods Programs Biomed. (2023)
Keyphrases
- super resolution
- blood pressure
- low resolution
- high resolution
- image reconstruction
- heart rate
- low resolution images
- image restoration
- motion estimation
- image super resolution
- high resolution images
- high quality
- resolution enhancement
- multi frame
- motion blur
- single image super resolution
- risk factors
- light field
- higher order
- spatial resolution
- image patches
- single frame
- super resolution algorithm
- super resolution reconstruction
- blood glucose
- higher resolution
- computer vision
- depth map
- image quality
- decision support system
- feature vectors
- image processing
- feature selection
- machine learning