Impact of hybrid neural network on the early diagnosis of diabetic retinopathy disease from video-oculography signals

Ceren Kaya, Okan Erkaymaz, Orhan Ayar and Mahmut Özer

Chaos, Solitons & Fractals, 2018, vol. 114, issue C, 164-174

Abstract: In this study, we introduce two hybrid artificial neural network models with particle swarm optimization algorithm to diagnose diabetic retinopathy based on the Video-Oculography signals. The hybrid models use Discrete Wavelet Transform and Hilbert-Huang Transform separately to extract features from the signals. The classification performance of both models is analyzed comparatively. We show that the model based on Hilbert–Huang Transform exhibits better classification performance than the model based on the Discrete Wavelet Transform.

Keywords: Video-oculography; Diabetic retinopathy; Wavelet transform; Hilbert–Huang transform; Artificial neural network; Particle swarm optimization (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:114:y:2018:i:c:p:164-174

DOI: 10.1016/j.chaos.2018.06.034

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