Determination of the physiological effects of diabetic retinopathy disease from Video-Oculography (VOG) signals using discrete wavelet transform
The insulin hormone secreted from the pancreas gland in the body is not present in sufficient amount, or because they do not fit, which is defined as the elevation of blood glucose 'Diabetes Mellitus (Diabetes)'. 'Diabetic Retinopathy' is the most common in diabetes-related eye diseases. It had done damages in the retina that detect light on behind the eye as a result of changes in the arteries that is one of the reasons that makes blindness (loss of vision) in people. In this study, horizontal and vertical Video-Oculography (VOG) signals captured by using internal tracking camera in Metrovision MonPackOne Electrooculography device. In order to filter the noise from the signals, the wavelet transform method was used. Obtained signals have shown that the signals of diabetic retinopathy patients have higher amplitude and irregular characteristic than the signals obtained from healthy groups. In both groups, significant Daubechies-6 wavelet coefficients (A6-D6) gave better results than Daubechies-4 wavelet coefficients (A4-D4). Obtained data as a result of using wavelet transform sheds light on feature extraction and classification in proposed future works. © 2016 IEEE.
| Dergi Adı | 2016 Medical Technologies National Conference, TIPTEKNO 2016 |
| Sayfalar | - |
| Yayın Yılı | 2017 |
| Eser Adı [dc.title] | Determination of the physiological effects of diabetic retinopathy disease from Video-Oculography (VOG) signals using discrete wavelet transform |
| Yazar [dc.contributor.author] | Kaya, Ceren |
| Yazar [dc.contributor.author] | Erkaymaz, Okan |
| Yazar [dc.contributor.author] | Ayar, Orhan |
| Yazar [dc.contributor.author] | Özer, Mahmut |
| Yayın Yılı [dc.date.issued] | 2017 |
| Yayıncı [dc.publisher] | Institute of Electrical and Electronics Engineers Inc. |
| Yayın Türü [dc.type] | proceedings |
| Açıklama [dc.description] | 2016 Medical Technologies National Conference, TIPTEKNO 2016 -- 27 October 2016 through 29 October 2016 -- -- 126633 |
| Özet [dc.description.abstract] | The insulin hormone secreted from the pancreas gland in the body is not present in sufficient amount, or because they do not fit, which is defined as the elevation of blood glucose 'Diabetes Mellitus (Diabetes)'. 'Diabetic Retinopathy' is the most common in diabetes-related eye diseases. It had done damages in the retina that detect light on behind the eye as a result of changes in the arteries that is one of the reasons that makes blindness (loss of vision) in people. In this study, horizontal and vertical Video-Oculography (VOG) signals captured by using internal tracking camera in Metrovision MonPackOne Electrooculography device. In order to filter the noise from the signals, the wavelet transform method was used. Obtained signals have shown that the signals of diabetic retinopathy patients have higher amplitude and irregular characteristic than the signals obtained from healthy groups. In both groups, significant Daubechies-6 wavelet coefficients (A6-D6) gave better results than Daubechies-4 wavelet coefficients (A4-D4). Obtained data as a result of using wavelet transform sheds light on feature extraction and classification in proposed future works. © 2016 IEEE. |
| Kayıt Giriş Tarihi [dc.date.accessioned] | 2019-12-23 |
| Açık Erişim Tarihi [dc.date.available] | 2019-12-23 |
| Yayın Dili [dc.language.iso] | tur |
| Konu Başlıkları [dc.subject] | Denoising |
| Konu Başlıkları [dc.subject] | Diabetic Retinopathy |
| Konu Başlıkları [dc.subject] | Signal Processing |
| Konu Başlıkları [dc.subject] | Video-Oculography (VOG) |
| Konu Başlıkları [dc.subject] | Wavelet Transform |
| Haklar [dc.rights] | info:eu-repo/semantics/closedAccess |
| Alternatif Yayın Başlığı [dc.title.alternative] | Ayrık dalgacık dönüşümü kullanarak Video-Okülografi (VOG) sinyallerinden diyabetik retinopati hastalığının fizyolojik etkilerinin belirlenmesi |
| Dergi Adı [dc.relation.journal] | 2016 Medical Technologies National Conference, TIPTEKNO 2016 |
| Tek Biçim Adres [dc.identifier.uri] | https://dx.doi.org/10.1109/TIPTEKNO.2016.7863102 |
| Tek Biçim Adres [dc.identifier.uri] | https://hdl.handle.net/20.500.12628/5072 |
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