Automatic seizure detection using a highly adaptive directional time-frequency distribution

DOI10.1007/S11045-017-0522-8zbMath1453.92167OpenAlexW2752107273MaRDI QIDQ784682

Mokhtar Mohammadi, Nabeel Ali Khan, Ali Akbar Pouyan

Publication date: 3 August 2020

Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11045-017-0522-8

zbMATH Keywords

time-frequency distributionsepileptic seizure detectionlinear classifierpatient-independent

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55)

Uses Software

• TFSAP

Cites Work

• Event-triggered sliding mode control of stochastic systems via output feedback
• Time-frequency feature extraction of newborn EEG seizure using SVD-based techniques
• Multi-component instantaneous frequency estimation using locally adaptive directional time frequency distributions
• Time-Frequency Learning Machines
• A measure of some time-frequency distributions concentration.

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