Publications by authors named "Tsung-Ii Peng"
Article Synopsis
- - This study utilized the Hilbert-Huang transform (HHT) to analyze spike waves in order to identify symptoms of epilepsy by examining various time-frequency characteristics.
- - The researchers collected spike wave data and performed HHT decomposition to calculate energy distributions and Pearson correlation coefficients among different spike wave samples and the EEG signal without spikes.
- - Results indicated that the energy ratios of certain intrinsic mode functions (IMFs) were significantly higher for spike waves compared to non-spike waves, suggesting that spike waves have distinctive time-frequency characteristics useful for detecting epilepsy.
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