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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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| Publicado en: | Transl Vis Sci Technol |
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| Main Authors: | , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
The Association for Research in Vision and Ophthalmology
2019
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6602119/ https://ncbi.nlm.nih.gov/pubmed/31293810 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/tvst.8.3.55 |
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