Statistical model-based classification to detect patient-specific spike-and-wave in eeg signals

HIGHLIGHTS

• who: Antonio Quintero-Rincón and collaborators from the Departament of Electronic, Catholic University of Argentina (UCA), AvAlicia Moreau de Justo , have published the paper: Statistical Model-Based Classification to Detect Patient-Specific Spike-and-Wave in EEG Signals, in the Journal: Computers 2020, 9, 85 of /2020/
• what: The aim of this decomposition is to evaluate the energy distribution throughout the SWD frequency band (1-3 Hz). As the authors demonstrate it in the experimentation section, the scale parameter ς was found statistically characteristic of the SWD waveform, and it is proposed as a feature . . .
  

   

  

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