Glaucoma detection by wavelet-based analysis of the global flash multifocal electroretinogram

Miguel-Jiménez, J. M.; Boquete, Luciano; Ortega, Sergio; Rodríguez-Ascariz, J. M.; Blanco, R.

doi:10.1016/j.medengphy.2010.02.019

Cited by 33 publications

(15 citation statements)

References 15 publications

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“…Within the central 15° analyzed, mean MD was 2.7 dB in HTG, 1.3 dB in NTG and 1.0 dB in PPG (Table 2 , [ 48 ]). In advanced glaucoma, Miguel-Jiménez et al [ 28 ] were able to identify signal characteristics in a two-flash mfERG that could differentiate OAG from control (DWT, mother wavelet Bior 3.1). In addition to the 50 patients analyzed, they demonstrated a good topographic correlation between the two-flash mfERG DWT findings and the Humphrey fields in two patients with advanced OAG [ 28 ].…”

Section: Discussionmentioning

confidence: 99%

“…Lately, he applied DWT to assess the contribution of the oscillatory potentials to the full-field ERG [ 26 ]. With specific focus in glaucoma Miguel-Jiménez et al [ 27 ] applied different types of wavelet analysis to the global flash mfERG response in glaucoma and found that CWT analysis, discrete wavelet transform (DWT) [ 28 ] and discrete wavelet packet transform [ 29 ] can separate advanced glaucoma from control and give additional information to the defect seen on Humphrey visual fields from these patients.…”

Section: Introductionmentioning

confidence: 99%

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Wavelet decomposition analysis in the two-flash multifocal ERG in early glaucoma: a comparison to ganglion cell analysis and visual field

Monhart¹,

Schötzau

Ledolter

et al. 2017

Doc Ophthalmol

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PurposeTo further improve analysis of the two-flash multifocal electroretinogram (2F-mfERG) in glaucoma in regard to structure–function analysis, using discrete wavelet transform (DWT) analysis.MethodsSixty subjects [35 controls and 25 primary open-angle glaucoma (POAG)] underwent 2F-mfERG. Responses were analyzed with the DWT. The DWT level that could best separate POAG from controls was compared to the root-mean-square (RMS) calculations previously used in the analysis of the 2F-mfERG. In a subgroup analysis, structure–function correlation was assessed between DWT, optical coherence tomography and automated perimetry (mf103 customized pattern) for the central 15°.ResultsFrequency level 4 of the wavelet variance analysis (144 Hz, WVA-144) was most sensitive (p < 0.003). It correlated positively with RMS but had a better AUC. Positive relations were found between visual field, WVA-144 and GCIPL thickness. The highest predictive factor for glaucoma diagnostic was seen in the GCIPL, but this improved further by adding the mean sensitivity and WVA-144.ConclusionsmfERG using WVA analysis improves glaucoma diagnosis, especially when combined with GCIPL and MS.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wavelet decomposition analysis in the two-flash multifocal ERG in early glaucoma: a comparison to ganglion cell analysis and visual field

Monhart¹,

Schötzau

Ledolter

et al. 2017

Doc Ophthalmol

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“…Abnormal mfERG signals from glaucomatous patients were selected based on the same criteria followed in [7]. Informed consent was obtained from all participants.…”

Section: Methodsmentioning

confidence: 99%

“…Both studies have the same goal (glaucoma detection), but use different analysis tools: Discrete Wavelet Transform (DWT) in [7], versus Discrete Wavelet Packet Transform (DWPT) in this work. DWPT is an extension of the DWT to the full binary tree [8].…”

Section: Introductionmentioning

confidence: 99%

Multifocal ERG wavelet packet decomposition applied to glaucoma diagnosis

et al. 2011

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BackgroundGlaucoma is the second-leading cause of blindness worldwide and early diagnosis is essential to its treatment. Current clinical methods based on multifocal electroretinography (mfERG) essentially involve measurement of amplitudes and latencies and assume standard signal morphology. This paper presents a new method based on wavelet packet analysis of global-flash multifocal electroretinogram signals.MethodsThis study comprised twenty-five patients diagnosed with OAG and twenty-five control subjects. Their mfERG recordings data were used to develop the algorithm method based on wavelet packet analysis. By reconstructing the third wavelet packet contained in the fourth decomposition level (ADAA4) of the mfERG recording, it is possible to obtain a signal from which to extract a marker in the 60-80 ms time interval.ResultsThe marker found comprises oscillatory potentials with a negative-slope basal line in the case of glaucomatous recordings and a positive-slope basal line in the case of normal signals. Application of the optimal threshold calculated in the validation cases showed that the technique proposed achieved a sensitivity of 0.81 and validation specificity of 0.73.ConclusionsThis new method based on mfERG analysis may be reliable enough to detect functional deficits that are not apparent using current automated perimetry tests. As new stimulation and analysis protocols develop, mfERG has the potential to become a useful tool in early detection of glaucoma-related functional deficits.

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“…Would the use of such an approach significantly improve analysis of the ERG beyond what is accomplished when using time and amplitude measures of the ERG only? Although advanced analytical approaches are now frequently used when studying biopotentials, such as the electroencephalogram [13], the electrocardiogram [14], and the electromyogram [15], to date they have only been sporadically applied to the ERG [8, 16, 17]. The purpose of this study was therefore to compare peak time and amplitude measurements of human photopic ERGs with measures obtained in the frequency domain using the Fourier analysis as well as in the time-frequency domain using the continuous (CWT) and discrete (DWT) wavelet transforms.…”

Section: Introductionmentioning

confidence: 99%

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

Gauvin

Lina

Lachapelle

2014

BioMed Research International

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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.

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Glaucoma detection by wavelet-based analysis of the global flash multifocal electroretinogram

Cited by 33 publications

References 15 publications

Wavelet decomposition analysis in the two-flash multifocal ERG in early glaucoma: a comparison to ganglion cell analysis and visual field

Wavelet decomposition analysis in the two-flash multifocal ERG in early glaucoma: a comparison to ganglion cell analysis and visual field

Multifocal ERG wavelet packet decomposition applied to glaucoma diagnosis

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

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