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Non-invasive technique to detect diabetic retinopathy based on Electrooculography signal using machine learning classifiers.

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2022 Jun Others R Archana, T Rajalakshmi… - Proceedings of the …, 2022 - journals.sagepub.com

Full Author : ['Archana, R', 'Rajalakshmi, T', 'Vijay Sai, P']
Journal Title : Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Chapter : Section1
Journal Year : 2022
Cited by : 2.0

Single-channel Electrooculogram (EOG) is proposed for detecting diabetic retinopathy. The Corneal-retinal potential of the eyes plays a vital role in the acquisition of Electrooculography. Diabetes is the most prevalent disease and for one out of three pe..... Read More

Keywords : ["electrooculography signal use machine learning classifier", "detect diabetic retinopathy base", "noninvasive technique"]
PubMed Link : https://journals.sagepub.com/doi/pdf/10.1177/09544119221085422
Google Scholar Link : https://scholar.google.com/scholar?cites=16857254829878506559&as_sdt=5,31&sciodt=0,31&hl=en&num=20