Research output per year
Research output per year
Giulio Pasquariello*, Mario Cesarelli, Paolo Bifulco, Maria Romano, Antonio Fratini, Antonio la Gatta, Domenico Boccuzzi
Research output: Chapter in Book/Published conference output › Conference publication
Congenital nystagmus (CN) is an ocular-motor disorder characterised by involuntary, conjugated ocular oscillations and its pathogenesis is still under investigation. This kind of nystagmus is termed congenital (or infantile) since it could be present at birth or it can arise in the first months of life. Most of CN patients show a considerable decrease of their visual acuity: image fixation on the retina is disturbed by nystagmus continuous oscillations, mainly horizontal. However, the image of a given target can still be stable during short periods in which eye velocity slows down while the target image is placed onto the fovea (called foveation intervals). To quantify the extent of nystagmus, eye movement recording are routinely employed, allowing physicians to extract and analyse nystagmus main features such as waveform shape, amplitude and frequency. Using eye movement recording, it is also possible to compute estimated visual acuity predictors: analytical functions which estimates expected visual acuity using signal features such as foveation time and foveation position variability. Use of those functions extend the information from typical visual acuity measurement (e.g. Landolt C test) and could be a support for therapy planning or monitoring. This study focuses on detection of CN patients' waveform type and on foveation time measure. Specifically, it proposes a robust method to recognize cycles corresponding to the specific CN waveform in the eye movement pattern and, for those cycles, evaluate the exact signal tracts in which a subject foveates. About 40 eyemovement recordings, either infrared-oculographic or electrooculographic, were acquired from 16 CN subjects. Results suggest that the use of an adaptive threshold applied to the eye velocity signal could improve the estimation of slow phase start point. This can enhance foveation time computing and reduce influence of repositioning saccades and data noise on the waveform type identification.
Original language | English |
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Title of host publication | World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany |
Subtitle of host publication | Vol. 25/4 Image processing, biosignal processing, modelling and simulation, biomechanics |
Editors | Olaf Dössel, Wolfgang C. Schlegel |
Place of Publication | Berlin (DE) |
Publisher | Springer |
Pages | 1010-1013 |
Number of pages | 4 |
ISBN (Electronic) | 978-3-642-03882-2 |
ISBN (Print) | 978-3-642-03881-5 |
DOIs | |
Publication status | Published - 2009 |
Event | World Congress on Medical Physics and Biomedical Engineering - Munich, Germany Duration: 7 Sept 2009 → 12 Sept 2009 |
Name | IFMBE proceedings |
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Publisher | Springer |
Volume | 25/4 |
ISSN (Print) | 1680-0737 |
Congress | World Congress on Medical Physics and Biomedical Engineering |
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Country/Territory | Germany |
City | Munich |
Period | 7/09/09 → 12/09/09 |
Other | Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics |
Research output: Chapter in Book/Published conference output › Conference publication
Research output: Chapter in Book/Published conference output › Conference publication