Scalable and energy efficient seizure detection based on direct use of compressively-sensed EEG data on an ultra low power multi-core architecture.
Roghayeh AghazadehJavad FrounchiFabio MontagnaSimone BenattiPublished in: Comput. Biol. Medicine (2020)
Keyphrases
- multi core architecture
- energy efficient
- eeg data
- wireless sensor networks
- eeg signals
- energy consumption
- independent component analysis
- sensor networks
- brain computer interface
- brain activity
- routing protocol
- multi core processors
- energy efficiency
- digital signal processor
- anomaly detection
- base station
- routing algorithm
- data transmission
- ultra low power
- computer vision
- blind source separation
- power consumption
- low cost
- data sets