A two-stage framework for denoising electrooculography signals
Authors:
- Anirban DasguptaADAnirban Dasgupta
- Suvodip ChakrabortySCSuvodip Chakraborty
- Aurobinda RoutrayARAurobinda Routray
- 1 January 2017
- journal article
- research article
- Published by Elsevier in Biomedical Signal Processing and Control
- Vol. 31, 231-237
Abstract
No abstract availableKeywords
This publication has 25 references indexed in Scilit:
- Algorithm for automatic analysis of electro-oculographic dataBioMedical Engineering OnLine, 2013
- Denoising EOG Signal using Stationary Wavelet TransformMeasurement Science Review, 2012
- ISCEV standard for clinical electro-oculography (2010 update)Documenta Ophthalmologica, 2011
- Saccade Preparation Signals in the Human Frontal and Parietal CorticesJournal of Neurophysiology, 2008
- Choroideremia carriers maintain a normal electro-oculogram (EOG)Documenta Ophthalmologica, 2007
- System for assisted mobility using eye movements based on electrooculographyIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2002
- Kalman filtering with state equality constraintsIEEE Transactions on Aerospace and Electronic Systems, 2002
- Particle filters for state estimation of jump Markov linear systemsIEEE Transactions on Signal Processing, 2001
- Rebound nystagmus: EOG analysis of a case with a floccular tumour.British Journal of Ophthalmology, 1979
- Electrical activity of the eye in high myopia.British Journal of Ophthalmology, 1966