Hardware-assisted and Deep-Learning techniques for Low-Power Detection of Cardiovascular Abnormalities in Smart Wearables.
A. CatalaniIoannis ChatzigiannakisA. AnagnostopoulosG. AkrivopoulouDimitrios AmaxilatisAthanasios AntoniouPublished in: SmartIoT (2021)
Keyphrases
- low power
- deep learning
- low cost
- single chip
- power consumption
- high speed
- vlsi architecture
- low power consumption
- digital signal processing
- unsupervised learning
- hardware and software
- unsupervised feature learning
- image sensor
- machine learning
- signal processor
- real time
- logic circuits
- gate array
- power reduction
- mixed signal
- embedded systems
- weakly supervised
- mental models
- hardware implementation
- ultra low power
- power dissipation
- data mining