ROP Telemedicine M-Health Network with Smartphone Holder Helmet Device. Hands-Free Digital Indirect Ophthalmoscopy Technique
Guillermo Andres Monteoliva, MD; Gabriela G. Saidman, MD; Vanina V. Schbib, MD; Julio J. Urrets Zavalia, MD; Erna E. Knoll, MD
RED ROP ZONA SUR PROVINCIA DE BUENOS AIRES
LA PLATA- BERAZATEGUI. PROVINCIA DE BUENOS AIRES
Introduction: Interest in Smartphone funduscopy is growing unceasingly, and several strategies and accessory devices developed. However both hands are busy ,limiting the possibility of simultaneously performing globe rotation or scleral depression in premature babies. Our purpose is to report the development of a helmet device, that holds smartphone, permitting performing hands free indirect funduscopy with smartphone, with advantages.
Methods: The prototype is constructed with adjustable headband, similar to those used in indirect binocular ophthalmoscopy, a flexible tube with a smartphone holder with magnets. This allows to hold any smarptohne with head control, using 8 MP or more resolution smartphone cameras, with continuous flash lighting . As in indirect technique, a condensing 20, 28, 30, 40 diopters lens to perform funduscopy, in the same manner than in indirect ophthalmoscopy. In video recording mode.
Results: This prototype gives the observer the opportunity to perform retinal images in ROP, video recording quadrants and reconstructing retinal images with a greater angle of retinal images results. the same observer performs the sequence. With both hands free, it is easy to reach periphery of the globe. Having the smartphone attached to the device, the examination is more secure (no smartphone and hands contact)during the procedure). We are working in a telemedicine team, sharing ROP images .
Discussion: Although smartphone funduscopy can be achieved with multiple techniques , this helmet prototype proved to be very simple to use, for hands-free indirect funduscopy, with smartphone. Especially in settings without the availability of sophisticated fundus imaging technology for telemedicine and teaching. Our team is working now on validation to build an m-health ROP and pediatric ophthalmology network in Argentina.
Conclusion: This prototype may be very useful in m-health ROP and pediatric ophthalmology networks. Still needs the validation work. the advantage of hands free technique, and quadrants recording can make a difference. With the addition of smartphone artificial intelligence recognition , it may be in the future very useful in constructing big data algorithms of data images.
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