MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1088/2057-1976/ab562e

Медицинская библиотека · Biomedical physics & engineering express · 2019

MEMS-based wearable eyeglasses for eye health monitoring.

Kaushik Neelam, Sasaki Takashi, Takahashi Yoshiki, Nakazawa Toru, Hane Kazuhiro

СтатьяПеревод пока не подготовлен

Аннотация

A large number of world population suffer from vision related diseases/defects. Visual health supervision is important for detection, prevention and treatment of eyes disorders. Images of retina/fundus are important for diagnosis of eye diseases. In this paper we report on design and development of a wearable eyeglass type retinal imaging system using a 2D MEMS scanner for ocular health monitoring. Several wearability criteria for instance weight and size factor should be taken into account while designing a wearable health monitoring system. The 2D-MEMS scanner used in the system is small in size, that helps to fabricate an easy to use and lightweight wearable imaging device. The net weight of fabricated system including optical components is 150 g. Sensitivity of the system was estimated by measuring the signal-to-noise ratio for high and low reflectance materials. Signal-to-noise ratio was 7 for high reflectance material and about 4 for biological samples. Imaging results were obtained by scanning a model eye, ham slice and enucleated swine eye in real time by custom made LabVIEW program. The fabricated system has adequate sensitivity and resolution for the observation of retinal arteries and optic disc for detection of eye diseases.

Для цитирования: Kaushik Neelam, Sasaki Takashi, Takahashi Yoshiki, Nakazawa Toru, Hane Kazuhiro. MEMS-based wearable eyeglasses for eye health monitoring.. Biomedical physics & engineering express. 2019. DOI: 10.1088/2057-1976/ab562e.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.