Non-invasive technique to detect diabetic retinopathy based on Electrooculography signal using machine learning classifiers
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine"
DOI: 10.1177/09544119221085422
Abstract: 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… read more here.
Keywords: signal using; retinopathy; methodology; non invasive ... See more keywords
Improving signal-to-noise ratio of a terahertz signal using a WaveNet-based neural network.
Sign Up to like & getrecommendations! Published in 2022 at "Optics express"
DOI: 10.1364/oe.448279
Abstract: When acquiring a terahertz signal from a time-domain spectroscopy system, the signal is degraded by measurement noise and the information embedded in the signal is distorted. For high-performing terahertz applications, this study proposes a method… read more here.
Keywords: signal using; using wavenet; noise; terahertz signal ... See more keywords