LogMAR BCVA A. Nystagmus Intensity Measurements Д Д Д Д B. BCVA Measurement Method READING CHART @ 4m FROM PARTICIPANT Nystagmus Intensity (°/s) 20 30 40 50 10 -30 -15 0 15 30 Gaze Angle (°) C. Examples of Intra-subject Correlations Between BCVA and Nystagmus Intensity 0.9 0.8 0.7 0.6 ° 0 0.5 ° ° 0.4 ° 0.3 °° 00 0.2 0.1 0.0 0 20 ° Albinism 0 Grade 1 FH Grade 2 FH • Grade 3 FH • Grade 4 FH Idiopathic IN No FH 40 Nystagmus Intensity (°/s) 60 80 Slope (logMAR/(°/s)) -30° -20° -10° 0° 10° 20° 30° D. Slopes of Intrasubject Correlations between BCVA and Nystagmus Intensity (where r > 0.25) Depending on Degree of Foveal Hypoplasia n 0.03- 10 10 2 3 7 5 ALBINISM 3 0 0 0 IIN 0.02- 0.01- 0.00+ -0.01- -0.02 None Grade 1 Grade 2 Grade 3 Grade 4 Degree of Foveal Hypoplasia
LogMAR BCVA A. Nystagmus Intensity Measurements Д Д Д Д B. BCVA Measurement Method READING CHART @ 4m FROM PARTICIPANT Nystagmus Intensity (°/s) 20 30 40 50 10 -30 -15 0 15 30 Gaze Angle (°) C. Examples of Intra-subject Correlations Between BCVA and Nystagmus Intensity 0.9 0.8 0.7 0.6 ° 0 0.5 ° ° 0.4 ° 0.3 °° 00 0.2 0.1 0.0 0 20 ° Albinism 0 Grade 1 FH Grade 2 FH • Grade 3 FH • Grade 4 FH Idiopathic IN No FH 40 Nystagmus Intensity (°/s) 60 80 Slope (logMAR/(°/s)) -30° -20° -10° 0° 10° 20° 30° D. Slopes of Intrasubject Correlations between BCVA and Nystagmus Intensity (where r > 0.25) Depending on Degree of Foveal Hypoplasia n 0.03- 10 10 2 3 7 5 ALBINISM 3 0 0 0 IIN 0.02- 0.01- 0.00+ -0.01- -0.02 None Grade 1 Grade 2 Grade 3 Grade 4 Degree of Foveal Hypoplasia
Biomedical Instrumentation Systems
1st Edition
ISBN:9781133478294
Author:Chatterjee
Publisher:Chatterjee
Chapter12: Electroencephalography And Emg Instrumentation
Section: Chapter Questions
Problem 8Q
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i found this past paper online and am using it for revision but i cannot find the mark scheme anywhere online.
B2 Examples of intra-subject scatter plots between nystagmus intensity and BCVA with best-fit lines are shown in figure 3C for examples of individuals with grades 1 to 4 foveal hypoplasia. Slopes for the best-fit lines for each participant in which the r value were greater than 0.25 are shown in figure 3D. A positive slope predicts that reducing nystagmus improves BCVA.
ii. What statistical parameters are generated by this approach and what do they mean?
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