Multifocal ERG wavelet packet decomposition applied to glaucoma diagnosis
<p>Abstract</p> <p>Background</p> <p>Glaucoma 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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2011-05-01
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| Series: | BioMedical Engineering OnLine |
| Online Access: | http://www.biomedical-engineering-online.com/content/10/1/37 |
| _version_ | 1811297636650582016 |
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| author | Rodríguez-Ascariz José M Boquete Luciano Ortega Sergio Miguel-Jiménez Juan M Blanco Román |
| author_facet | Rodríguez-Ascariz José M Boquete Luciano Ortega Sergio Miguel-Jiménez Juan M Blanco Román |
| author_sort | Rodríguez-Ascariz José M |
| collection | DOAJ |
| description | <p>Abstract</p> <p>Background</p> <p>Glaucoma 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.</p> <p>Methods</p> <p>This 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.</p> <p>Results</p> <p>The 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.</p> <p>Conclusions</p> <p>This 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.</p> |
| first_indexed | 2024-04-13T06:08:07Z |
| format | Article |
| id | doaj.art-aa5e443782924a0bb1507d57f997c618 |
| institution | Directory Open Access Journal |
| issn | 1475-925X |
| language | English |
| last_indexed | 2024-04-13T06:08:07Z |
| publishDate | 2011-05-01 |
| publisher | BMC |
| record_format | Article |
| series | BioMedical Engineering OnLine |
| spelling | doaj.art-aa5e443782924a0bb1507d57f997c6182022-12-22T02:59:11ZengBMCBioMedical Engineering OnLine1475-925X2011-05-011013710.1186/1475-925X-10-37Multifocal ERG wavelet packet decomposition applied to glaucoma diagnosisRodríguez-Ascariz José MBoquete LucianoOrtega SergioMiguel-Jiménez Juan MBlanco Román<p>Abstract</p> <p>Background</p> <p>Glaucoma 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.</p> <p>Methods</p> <p>This 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.</p> <p>Results</p> <p>The 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.</p> <p>Conclusions</p> <p>This 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.</p>http://www.biomedical-engineering-online.com/content/10/1/37 |
| spellingShingle | Rodríguez-Ascariz José M Boquete Luciano Ortega Sergio Miguel-Jiménez Juan M Blanco Román Multifocal ERG wavelet packet decomposition applied to glaucoma diagnosis BioMedical Engineering OnLine |
| title | Multifocal ERG wavelet packet decomposition applied to glaucoma diagnosis |
| title_full | Multifocal ERG wavelet packet decomposition applied to glaucoma diagnosis |
| title_fullStr | Multifocal ERG wavelet packet decomposition applied to glaucoma diagnosis |
| title_full_unstemmed | Multifocal ERG wavelet packet decomposition applied to glaucoma diagnosis |
| title_short | Multifocal ERG wavelet packet decomposition applied to glaucoma diagnosis |
| title_sort | multifocal erg wavelet packet decomposition applied to glaucoma diagnosis |
| url | http://www.biomedical-engineering-online.com/content/10/1/37 |
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