EEG Feature Extraction Accelerator Enabling Long Term Epilepsy Monitoring Based on Ultra Low Power WSNs.
Evangelinos P. MariatosChristos P. AntonopoulosNikolaos S. VorosPublished in: ARC (2016)
Keyphrases
- ultra low power
- long term
- feature extraction
- eeg signals
- low power
- healthy subjects
- extracted features
- wireless sensor networks
- eeg data
- short term
- environmental monitoring
- temporal lobe epilepsy
- sensing devices
- signal processing
- body sensor networks
- energy consumption
- feature vectors
- high speed
- preprocessing
- low cost
- data gathering
- power consumption
- epileptic seizures
- energy efficient
- routing algorithm
- real time
- feature selection
- frequency domain
- resource constrained
- monitoring system
- pattern classification
- brain computer interface
- face recognition
- data aggregation
- brain activity
- principal component analysis
- energy aware
- event related
- image processing
- feature space
- wavelet transform
- medical devices
- resource limitations
- health monitoring
- sensor networks
- data collection
- independent component analysis
- sensor nodes
- mac protocol
- motor imagery
- base station
- energy saving
- texture features