SMARTPHONE-BASED DIGITAL PUPILLOMETER

In some embodiments, techniques for using machine learning to enable visible light pupilometry are provided. In some embodiments, a smartphone may be used to create a visible light video recording of a pupillary light reflex (PLR). A machine learning model may be used to detect a size of a pupil in...

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Bibliographische Detailangaben
Hauptverfasser:	Bly, Randall, Law, Anthony, Baudin, Jacob, Mariakakis, Alex T, Patel, Shwetak N, McGrath, Lynn B
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DIAGNOSIS HANDLING RECORD CARRIERS HUMAN NECESSITIES HYGIENE IDENTIFICATION MEDICAL OR VETERINARY SCIENCE PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS SURGERY
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Beschreibung
Zusammenfassung:	In some embodiments, techniques for using machine learning to enable visible light pupilometry are provided. In some embodiments, a smartphone may be used to create a visible light video recording of a pupillary light reflex (PLR). A machine learning model may be used to detect a size of a pupil in the video recording over time, and the size over time may be presented to a clinician. In some embodiments, a system that includes a smartphone and a box that holds the smartphone in a predetermined relationship to a subject's face is provided. In some embodiments, a sequential convolutional neural network architecture is used. In some embodiments, a fully convolutional neural network architecture is used.