Electroretinogram Analysis Using a Short-Time Fourier Transform and Machine Learning Techniques

Electroretinogram Analysis Using a Short-Time Fourier Transform and Machine Learning Techniques

Electroretinography (ERG) is a non-invasive method of assessing retinal function by recording the retina’s response to a brief flash of light. This study focused on optimizing the ERG waveform signal classification by utilizing Short-Time Fourier Transform (STFT) spectrogram preprocessing with a mac...

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Bibliographic Details
Main Authors: Faisal Albasu, Mikhail Kulyabin, Aleksei Zhdanov, Anton Dolganov, Mikhail Ronkin, Vasilii Borisov, Leonid Dorosinsky, Paul A. Constable, Mohammed A. Al-masni, Andreas Maier
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Bioengineering
Subjects:
electroretinography
biomedical signal processing algorithms
short-time Fourier transform
spectrogram
feature extraction
classification
Online Access:https://www.mdpi.com/2306-5354/11/9/866

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https://www.mdpi.com/2306-5354/11/9/866

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