Cargando…

Advance in ERG Analysis: From Peak Time and Amplitude to Frequency, Power, and Energy

Purpose. To compare time domain (TD: peak time and amplitude) analysis of the human photopic electroretinogram (ERG) with measures obtained in the frequency domain (Fourier analysis: FA) and in the time-frequency domain (continuous (CWT) and discrete (DWT) wavelet transforms). Methods. Normal ERGs (...

Descripción completa

Detalles Bibliográficos
Autores principales: Gauvin, Mathieu, Lina, Jean-Marc, Lachapelle, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4100345/
https://www.ncbi.nlm.nih.gov/pubmed/25061605
http://dx.doi.org/10.1155/2014/246096
_version_ 1782326655480496128
author Gauvin, Mathieu
Lina, Jean-Marc
Lachapelle, Pierre
author_facet Gauvin, Mathieu
Lina, Jean-Marc
Lachapelle, Pierre
author_sort Gauvin, Mathieu
collection PubMed
description Purpose. To compare time domain (TD: peak time and amplitude) analysis of the human photopic electroretinogram (ERG) with measures obtained in the frequency domain (Fourier analysis: FA) and in the time-frequency domain (continuous (CWT) and discrete (DWT) wavelet transforms). Methods. Normal ERGs (n = 40) were analyzed using traditional peak time and amplitude measurements of the a- and b-waves in the TD and descriptors extracted from FA, CWT, and DWT. Selected descriptors were also compared in their ability to monitor the long-term consequences of disease process. Results. Each method extracted relevant information but had distinct limitations (i.e., temporal and frequency resolutions). The DWT offered the best compromise by allowing us to extract more relevant descriptors of the ERG signal at the cost of lesser temporal and frequency resolutions. Follow-ups of disease progression were more prolonged with the DWT (max 29 years compared to 13 with TD). Conclusions. Standardized time domain analysis of retinal function should be complemented with advanced DWT descriptors of the ERG. This method should allow more sensitive/specific quantifications of ERG responses, facilitate follow-up of disease progression, and identify diagnostically significant changes of ERG waveforms that are not resolved when the analysis is only limited to time domain measurements.
format Online
Article
Text
id pubmed-4100345
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-41003452014-07-24 Advance in ERG Analysis: From Peak Time and Amplitude to Frequency, Power, and Energy Gauvin, Mathieu Lina, Jean-Marc Lachapelle, Pierre Biomed Res Int Research Article Purpose. To compare time domain (TD: peak time and amplitude) analysis of the human photopic electroretinogram (ERG) with measures obtained in the frequency domain (Fourier analysis: FA) and in the time-frequency domain (continuous (CWT) and discrete (DWT) wavelet transforms). Methods. Normal ERGs (n = 40) were analyzed using traditional peak time and amplitude measurements of the a- and b-waves in the TD and descriptors extracted from FA, CWT, and DWT. Selected descriptors were also compared in their ability to monitor the long-term consequences of disease process. Results. Each method extracted relevant information but had distinct limitations (i.e., temporal and frequency resolutions). The DWT offered the best compromise by allowing us to extract more relevant descriptors of the ERG signal at the cost of lesser temporal and frequency resolutions. Follow-ups of disease progression were more prolonged with the DWT (max 29 years compared to 13 with TD). Conclusions. Standardized time domain analysis of retinal function should be complemented with advanced DWT descriptors of the ERG. This method should allow more sensitive/specific quantifications of ERG responses, facilitate follow-up of disease progression, and identify diagnostically significant changes of ERG waveforms that are not resolved when the analysis is only limited to time domain measurements. Hindawi Publishing Corporation 2014 2014-07-01 /pmc/articles/PMC4100345/ /pubmed/25061605 http://dx.doi.org/10.1155/2014/246096 Text en Copyright © 2014 Mathieu Gauvin et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Gauvin, Mathieu
Lina, Jean-Marc
Lachapelle, Pierre
Advance in ERG Analysis: From Peak Time and Amplitude to Frequency, Power, and Energy
title Advance in ERG Analysis: From Peak Time and Amplitude to Frequency, Power, and Energy
title_full Advance in ERG Analysis: From Peak Time and Amplitude to Frequency, Power, and Energy
title_fullStr Advance in ERG Analysis: From Peak Time and Amplitude to Frequency, Power, and Energy
title_full_unstemmed Advance in ERG Analysis: From Peak Time and Amplitude to Frequency, Power, and Energy
title_short Advance in ERG Analysis: From Peak Time and Amplitude to Frequency, Power, and Energy
title_sort advance in erg analysis: from peak time and amplitude to frequency, power, and energy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4100345/
https://www.ncbi.nlm.nih.gov/pubmed/25061605
http://dx.doi.org/10.1155/2014/246096
work_keys_str_mv AT gauvinmathieu advanceinerganalysisfrompeaktimeandamplitudetofrequencypowerandenergy
AT linajeanmarc advanceinerganalysisfrompeaktimeandamplitudetofrequencypowerandenergy
AT lachapellepierre advanceinerganalysisfrompeaktimeandamplitudetofrequencypowerandenergy