July 1998
Volume 39, Issue 8
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Articles  |   July 1998
Submicrovolt flicker electroretinogram: cycle-by-cycle recording of multiple harmonics with statistical estimation of measurement uncertainty.
Author Affiliations
  • P A Sieving
    Department of Ophthalmology, University of Michigan, Ann Arbor 48105, USA.
  • E B Arnold
    Department of Ophthalmology, University of Michigan, Ann Arbor 48105, USA.
  • J Jamison
    Department of Ophthalmology, University of Michigan, Ann Arbor 48105, USA.
  • A Liepa
    Department of Ophthalmology, University of Michigan, Ann Arbor 48105, USA.
  • C Coats
    Department of Ophthalmology, University of Michigan, Ann Arbor 48105, USA.
Investigative Ophthalmology & Visual Science July 1998, Vol.39, 1462-1469. doi:https://doi.org/
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      P A Sieving, E B Arnold, J Jamison, A Liepa, C Coats; Submicrovolt flicker electroretinogram: cycle-by-cycle recording of multiple harmonics with statistical estimation of measurement uncertainty.. Invest. Ophthalmol. Vis. Sci. 1998;39(8):1462-1469. doi: https://doi.org/.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

PURPOSE: To study cycle-by-cycle recording of small-amplitude flicker-electroretinogram (ERG) responses and analyze results with robust statistical methods to estimate the measurement uncertainty. METHODS: Flicker ERGs at 32 Hz were recorded simultaneously from both eyes of patients with retinal degeneration. The ERG was amplified under wide-band (1-1000 Hz) conditions, digitized at 6144 Hz/eye, and multiplied point for point (192 points/cycle) by sine and cosine functions within each 1/32-second flash cycle to extract coefficients for six harmonic components of a discrete Fourier transform in real time. Amplitude windowing was not used, and all data were saved for subsequent statistical processing to identify and remove large-amplitude artifacts discretely and to search for quiet recording periods that minimized small-amplitude noise. RESULTS: Plots of amplitude and phase indicated far outlying noise points that were excised from the data. The SD of sequential intervals on a time line of the sine component identified quiet periods that minimized small-amplitude noise and improved measurement consistency. The SE of the response mean provided an estimate of measurement uncertainty. CONCLUSIONS: The harmonic components of many individual responses are captured quickly (e.g., 500 responses in 15.6 seconds) for post hoc statistical analysis, using mathematical algorithms that are precisely reproducible to facilitate comparison of results from all laboratories. Graphical time lines of responses allow separation of artifact transients from gaussian noise for elimination of noisy periods without disturbing the stored information. Statistical estimates of measurement uncertainty are determined on-line to allow immediate feedback during the recording session. Amplitude-phase plots of the multiple harmonic components, along with reconstructed analog waveforms, provide results in a readily assimilated manner for comparison of all testing sessions.

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