Telecardiology: Hurst exponent based anomaly detection in compressively sampled ECG signals.
Bollepalli S. ChandraChalla S. SastrySoumya JanaPublished in: Healthcom (2013)
Keyphrases
- anomaly detection
- ecg signals
- hurst exponent
- detecting anomalies
- intrusion detection
- network intrusion detection
- network traffic
- anomalous behavior
- network anomaly detection
- behavior analysis
- detecting anomalous
- computer security
- heart rate
- unsupervised anomaly detection
- detect anomalies
- intrusion detection system
- network security
- pairwise
- malware detection
- unsupervised learning
- connectionist systems
- mit bih arrhythmia database
- data sets
- network intrusion
- negative selection algorithm
- hidden markov models
- beat classification