Performance evaluation of time-frequency image feature sets for improved classification and analysis of non-stationary signals: Application to newborn EEG seizure detection
Performance evaluation of time-frequency image feature sets for improved classification and analysis of non-stationary signals: Application to newborn EEG seizure detection
Authors
Keywords
Machine learning, Non-Stationary signal analysis, Hu invariant moments, Haralick features, Local Binary Patterns, Time-frequency distributions, Random forests
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