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

Joint Authors

Gauvin, Mathieu
Lina, Jean-Marc
Lachapelle, Pierre

Source

BioMed Research International

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

Medicine

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