Wearable Epileptic Seizure Prediction System with Machine-Learning-Based Anomaly Detection of Heart Rate Variability.
Toshitaka YamakawaMiho MiyajimaKoichi FujiwaraManabu KanoYoko SuzukiYutaka WatanabeSatsuki WatanabeTohru HoshidaMotoki InajiTaketoshi MaeharaPublished in: Sensors (2020)
Keyphrases
- anomaly detection
- machine learning
- heart rate variability
- network anomaly detection
- epileptic seizures
- intrusion detection
- detecting anomalies
- anomalous behavior
- network intrusion detection
- network traffic
- spectral analysis
- unsupervised learning
- heart rate
- learning algorithm
- negative selection algorithm
- intrusion detection system
- pattern recognition
- decision trees
- machine learning algorithms
- one class support vector machines
- text classification
- information extraction
- detect anomalies
- computer vision
- object recognition
- activity recognition
- supervised learning
- active learning
- feature selection