Authors:
Kolin Paul
and
Vijay Kumar
Affiliation:
IIT Delhi, India
Keyword(s):
Glaucoma, Ophthalmoscope, Fundus, Image Processing, Android, OpenCV, CDR Ratio.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Cloud Computing
;
Design and Development Methodologies for Healthcare IT
;
Distributed and Mobile Software Systems
;
e-Health
;
Health Engineering and Technology Applications
;
Health Information Systems
;
Mobile Technologies
;
Mobile Technologies for Healthcare Applications
;
Neural Rehabilitation
;
Neurotechnology, Electronics and Informatics
;
Platforms and Applications
;
Software Engineering
Abstract:
India is a developing country. It has a very low doctor to patient ratio and hence affordabe healthcare has
always been a matter of concern. The high cost of diagnostic devices and unskilled or limited skilled clinicians
exacerbate this problem. The treatment of visually impaired patients is a daunting task in India as it requires
periodic examination of eyesight. Devices meant for this check up are expensive and often require high degree
of expertise to operate. In this paper we propose a low-cost, lightweight, handheld, android phone based
fundus imaging device. The application software makes it user-friendly and also can also provide a limited
automatic screening capability of some retinal problems. In this paper, we report the use of this device for
screening of patients for Glaucoma. The paper presents empirical results using patient data from hospitals.
The results indicate that such a device can effectively scale the operations of screening of many eye related
problems in unde
r served areas.
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