Wtd-psd: presentation of novel feature extraction method based on discrete wavelet transformation and time-dependent power spectrum descriptors for diagnosis of alzheimer’s disease

HIGHLIGHTS

  • who: Ali Taghavirashidizadeh and collaborators from the Islamic Azad University, Central Tehran Branch (IAUCTB), Department of Electrical and Electronics Engineering, Tehran, Iran have published the research work: WTD-PSD: Presentation of Novel Feature Extraction Method Based on Discrete Wavelet Transformation and Time-Dependent Power Spectrum Descriptors for Diagnosis of Alzheimeru2019s Disease, in the Journal: Computational Intelligence and Neuroscience 1 KNN 0.9 of 11/05/2022
  • what: The authors show the CNN architecture for AD patient classification. The aim of this model was to distinguish between AD and HC. The aim of this research is . . .

     

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