Self-Aware Anomaly-Detection for Epilepsy Monitoring on Low-Power Wearable Electrocardiographic Devices.
Farnaz ForooghifarAmin AminifarTomás TeijeiroAmir AminifarJesper JeppesenSándor BeniczkyDavid AtienzaPublished in: AICAS (2021)
Keyphrases
- low power
- anomaly detection
- physical activity
- low cost
- medical devices
- detect anomalies
- power consumption
- low power consumption
- high speed
- intrusion detection
- detecting anomalies
- anomalous behavior
- network intrusion detection
- real time
- health monitoring
- ultra low power
- ecg signals
- intrusion detection system
- network traffic
- unsupervised learning
- embedded systems
- cmos technology
- negative selection algorithm
- logic circuits
- sensor networks
- mixed signal
- network anomaly detection
- gate array
- network security
- ubiquitous computing
- processing capabilities
- image sensor
- computer systems
- mobile devices
- one class support vector machines
- cumulative sum
- machine learning