Convolutional-Recurrent Neural Networks on Low-Power Wearable Platforms for Cardiac Arrhythmia Detection.
Antonino FaraoneRicard Delgado-GonzaloPublished in: AICAS (2020)
Keyphrases
- low power
- recurrent neural networks
- low cost
- power consumption
- high speed
- single chip
- neural network
- heart disease
- feed forward
- recurrent networks
- echo state networks
- wireless transmission
- reservoir computing
- logic circuits
- neural model
- low power consumption
- gate array
- mit bih arrhythmia database
- nonlinear dynamic systems
- vlsi circuits
- heart rate variability
- high power
- cmos technology
- digital signal processing
- sensor networks
- ecg signals
- real time
- atrial fibrillation
- vlsi architecture
- mixed signal
- cascade correlation
- activity recognition
- signal processor
- image sensor