Title :
Diabetic retinopathy classification
Author :
Sivakumar, R. ; Ravindran, G. ; Muthayya, M. ; Lakshminarayanan, S. ; Velmurughendran, C.U.
Author_Institution :
Coll. of Eng., Anna Univ., Chennai, India
Abstract :
Diabetic retinopathy is one of the common complications of diabetes. Unfortunately, in many cases the patient is not aware of any symptoms until it is too late for effective treatment. Through analysis of the evoked potential response of the optical nerve and optical brain centre will pave a way for early diagnosis of diabetic retinopathy and prognosis during the treatment process. In this paper, we present a method to classify diabetic retinopathy subjects from changes in visual evoked potential spectral components.
Keywords :
electroretinography; medical signal processing; patient diagnosis; patient treatment; signal classification; visual evoked potentials; diabetes; diabetic retinopathy classification; optical brain centre evoked potential; optical nerve evoked potential response; patient diagnosis; patient prognosis; patient symptoms; patient treatment; visual evoked potential spectral components; Biomedical optical imaging; Delay; Diabetes; Educational institutions; Mathematical model; Medical diagnostic imaging; Optical attenuators; Passive optical networks; Power system modeling; Retinopathy;
Conference_Titel :
TENCON 2003. Conference on Convergent Technologies for the Asia-Pacific Region
Print_ISBN :
0-7803-8162-9
DOI :
10.1109/TENCON.2003.1273315
