Title :
Automatic DarkAdaptation Threshold Detection Algorithm
Author :
de Azevedo, Dario F.G. ; Helegda, Sérgio ; Glock, Flávio ; Russomano, Thaís
Author_Institution :
Sci. & Res. Inst., Pontifical Catholic Univ. Porto Alegre
fDate :
6/27/1905 12:00:00 AM
Abstract :
This paper describes an algorithm used to automatically determine the threshold sensitivity in a new dark adaptometer. The new instrument is controlled by a personal computer and can be used in the investigation of several retinal diseases. The stimulus field is delivered to the eye through the modified optics of a fundus camera. An automated light stimulus source was developed to operate together with this fundus camera. New control parameters were developed in this instrument to improve the traditional Goldmann-Weekers dark adaptometer
Keywords :
biomedical optical imaging; diseases; eye; Goldmann-Weekers dark adaptometer; automated light stimulus source; automatic dark adaptation threshold detection algorithm; eye; fundus camera; retinal diseases; threshold sensitivity; Automatic control; Bleaching; Cameras; Detection algorithms; Diseases; Instruments; Light sources; Microcomputers; Retina; Testing;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1616844
