Pupil monitoring system and method

The pupil monitoring system, which combines a handheld pupil observation terminal with a temporal neural network, solves the problems of data isolation and cross-infection in existing equipment, achieves precise binding and intelligent early warning analysis, and improves data integration and security in intensive care.

CN122320451APending Publication Date: 2026-07-03深圳市龙华区中心医院

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
深圳市龙华区中心医院
Filing Date
2026-04-13
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing pupil observation equipment in intensive care suffers from problems such as isolated and disconnected monitoring data, lack of in-depth time-series predictive analysis capabilities, and the risk of nosocomial cross-infection due to contact-based image acquisition.

Method used

It adopts a handheld pupil observation terminal, combined with an identity recognition module, a flexible eyelid opening component, a photoelectric acquisition component, and a vital sign acquisition module, to achieve non-contact pupil monitoring. It also performs intelligent early warning analysis through a temporal neural network, integrates multi-dimensional vital sign data, and supports wireless communication and monitoring terminal data transmission.

Benefits of technology

It achieves a unique binding of patient identity, pupil video images, and multidimensional vital signs data, and has the ability to predict the trend of brain herniation risk, accurately assess delirium, and non-invasively estimate intracranial pressure, thereby improving monitoring accuracy and eliminating the risk of cross-infection.

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Abstract

This invention provides a pupil monitoring system and method, relating to the field of medical Internet of Things (IoT) technology. The system includes a handheld pupil observation terminal and a monitoring terminal connected via communication. An identity recognition module acquires patient identity information; a flexible eyelid-opening component opens the patient's eyelids in a non-contact manner on the ocular surface; a photoelectric acquisition component induces a light response in the pupil at a preset distance and continuously acquires pupil video images; a vital signs acquisition module simultaneously acquires vital signs data from external devices. A processor uniquely binds the above data, extracts dynamic temporal characteristics and size changes of the pupil, and performs intelligent early warning analysis in conjunction with vital signs data, outputting brain herniation risk warnings, delirium assessments, and intracranial pressure estimation results. The monitoring terminal receives data and automatically generates nursing documentation and vital signs trend curves. This invention achieves non-contact standardized ocular surface image acquisition and multi-dimensional specialist parameter fusion, effectively reducing the risk of nosocomial cross-infection.
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