Energy Efficient Deep Learning Inference Embedded on FPGA for Sleep Apnea Detection.
Omiya HassanTanmoy PaulMd Maruf Hossain ShuvoDilruba ParvinRushil ThakkerMengrui ChenAbu Saleh Mohammad MosaSyed Kamrul IslamPublished in: J. Signal Process. Syst. (2022)
Keyphrases
- energy efficient
- deep learning
- wireless sensor networks
- sleep apnea
- energy consumption
- sensor networks
- unsupervised feature learning
- base station
- unsupervised learning
- machine learning
- mental models
- energy efficiency
- automatic analysis
- routing protocol
- sensor nodes
- embedded systems
- low cost
- object detection
- sleep stage
- bayesian networks
- physiological parameters
- data transmission
- field programmable gate array
- routing algorithm
- weakly supervised
- data center
- anomaly detection
- maximum likelihood
- mobile devices
- image processing