Signal processing techniques for oscillatory potential extraction in the electroretinogram: automated highpass cutoff frequency estimation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Physiology (medical),Sensory Systems,Ophthalmology
Link
http://link.springer.com/content/pdf/10.1007/s10633-012-9341-2.pdf
Reference17 articles.
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2. Cobb W, Morton HB (1952) The human retinogram in response to high-intensity flashes. Electroencephalogr Clin Neurophysiol 4(4):547–556
3. Tzekov R, Arden G (1999) The electroretinogram in diabetic retinopathy. Survey Ophthalmol 44:53–60
4. Yonemura D, Tzusuki K, Aoki T (1962) Clinical importance of the oscillatory potential in the human eye. Act Opthalmol (suppl) 70:115–123
5. Akula JA, Mocko JA, Moskowitz A, Hansen RM, Fulton AB (2007) The oscillatory potentials of the dark-adapted electroretinogram in retinopathy of prematurity. Invest Ophthalmol Vis Sci 48(12):5788–5797
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1. Empirical mode decomposition denoising of the electroretinogram to enhance measurement of the photopic negative response;Biomedical Signal Processing and Control;2022-01
2. Contribution of GABAa, GABAc and glycine receptors to rat dark-adapted oscillatory potentials in the time and frequency domain;Oncotarget;2017-09-08
3. Unwrapping of transient responses from high rate overlapping pattern electroretinograms by deconvolution;Clinical Neurophysiology;2014-10
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