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Advance in ERG Analysis : From Peak Time and Amplitude to Frequency, Power, and Energy
Joint Authors
Gauvin, Mathieu
Lina, Jean-Marc
Lachapelle, Pierre
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-01
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Gauvin, Mathieu& Lina, Jean-Marc& Lachapelle, Pierre. 2014. Advance in ERG Analysis : From Peak Time and Amplitude to Frequency, Power, and Energy. BioMed Research International،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-456977
Modern Language Association (MLA)
Gauvin, Mathieu…[et al.]. Advance in ERG Analysis : From Peak Time and Amplitude to Frequency, Power, and Energy. BioMed Research International No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-456977
American Medical Association (AMA)
Gauvin, Mathieu& Lina, Jean-Marc& Lachapelle, Pierre. Advance in ERG Analysis : From Peak Time and Amplitude to Frequency, Power, and Energy. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-456977
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-456977