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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Synopsis of recent research by authors named "Tsung-Ii Peng"

  • - Tsung-Ii Peng's research primarily focuses on the application of advanced signal processing techniques, specifically the Hilbert-Huang Transform (HHT), to analyze neurological signals related to epilepsy.
  • - In his 2015 study, Peng investigated the time-frequency characteristics of spike waves in electroencephalogram (EEG) data to enhance the detection of epilepsy symptoms, identifying distinct patterns between spike and non-spike waves.
  • - The study produced significant results by calculating Pearson correlation coefficients and energy distributions of intrinsic mode functions (IMFs), contributing to a better understanding of EEG signal dynamics associated with epilepsy.