Sparse sensing matrix based compressed sensing in low-power ECG sensor nodes.
Alex MarchioniMauro MangiaFabio PareschiRiccardo RovattiGianluca SettiPublished in: BioCAS (2017)
Keyphrases
- compressed sensing
- low power
- sensor networks
- sensor nodes
- wireless sensor networks
- power consumption
- image reconstruction
- low cost
- energy efficiency
- high speed
- energy consumption
- random projections
- sensor data
- signal processing
- body sensor networks
- sparse representation
- data transmission
- base station
- energy efficient
- resource constrained
- compressive sampling
- natural images
- signal recovery
- wireless communication
- image sensor
- data streams
- orthogonal matching pursuit
- multi hop
- routing protocol
- sink node
- routing algorithm
- singular value decomposition
- fourier domain
- compressive sensing
- high quality
- wireless networks
- dimensionality reduction
- input image
- pairwise
- pattern recognition