Sparse representation and overcomplete dictionary learning for anomaly detection in electrocardiograms

Tomasz Andrysiak

doi:10.1007/s00521-018-3814-5

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Sparse representation and overcomplete dictionary learning for anomaly detection in electrocardiograms

Tomasz Andrysiak

Year: 2018 Journal: Neural Computing and Applications Vol: 32 (5)Pages: 1269-1285 Publisher: Springer Science+Business Media

DOI: 10.1007/s00521-018-3814-5

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Keywords:

Pattern recognition (psychology) Computational Science and Engineering Anomaly detection Artificial intelligence Representation (politics) Computer science Anomaly (physics) Sparse approximation Machine learning Physics

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Topics

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

ECG Monitoring and Analysis

Health Sciences → Medicine → Cardiology and Cardiovascular Medicine

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Sparse representation and overcomplete dictionary learning for anomaly detection in electrocardiograms

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Citation History

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