Evaluation of Automatic Monitoring of Instillation Adherence Using Eye Dropper Bottle Sensor and Deep Learning in Patients With Glaucoma

PURPOSE: We developed and evaluated an eye dropper bottle sensor system comprising motion sensor with automatic motion waveform analysis using deep learning (DL) to accurately measure adherence of patients with antiglaucoma ophthalmic solution therapy. METHODS: We enrolled 20 patients with open-angl...

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Detalles Bibliográficos
Autores principales: Nishimura, Kazuaki, Tabuchi, Hitoshi, Nakakura, Shunsuke, Nakatani, Yoshiki, Yorihiro, Akira, Hasegawa, Shouichi, Tanabe, Hirotaka, Noguchi, Asuka, Aoki, Ryota, Kiuchi, Yoshiaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2019
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602119/
https://www.ncbi.nlm.nih.gov/pubmed/31293810
http://dx.doi.org/10.1167/tvst.8.3.55

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602119/
https://www.ncbi.nlm.nih.gov/pubmed/31293810
http://dx.doi.org/10.1167/tvst.8.3.55

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