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 (...
Autores principales: | , , |
---|---|
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 |