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Intelligent identification and change mirror

An intelligent, lens-based technology, applied in the directions of diagnostic recording/measurement, diagnosis, sensors, etc., can solve the problems of not being able to convert into information data, unable to perform real-time monitoring, unable to meet the needs of users' self-testing, etc., to reduce the fatality rate, reduce The effect of delays

Pending Publication Date: 2022-03-04
PEKING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this technology does not have an effective carrier yet, and it requires manual data input at regular intervals, and cannot perform real-time monitoring. The ability to transform entity data into information data

Method used

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Embodiment Construction

[0018] The technical features of different embodiments of the present invention can be combined arbitrarily in accordance with the gist of the present invention, therefore, any specific embodiment should not be construed as limiting the protection scope of the present invention.

[0019] In some embodiments of the intelligent variable detection mirror, the external shape of the intelligent variable detection mirror is varied and not fixed.

[0020] In some embodiments of the smart mirror, the smart mirror can realize a B / S structure through the communication module, that is, a browser / server mode.

[0021] The implementation of the present invention will be described in detail below with reference to the drawings and examples.

[0022] Please refer to figure 1 , figure 2 and image 3 As shown, in some embodiments of the smart discriminating mirror, the smart discriminating mirror includes a lens body 1; a transparent liquid crystal display 2 is installed directly in front ...

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PUM

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Abstract

The invention relates to an intelligent identification and change mirror for early recognition of cerebral apoplexy, and a verification test result of an intelligent identification and change mirror model used for detecting whether a user has a cerebral apoplexy risk and seeing a doctor in time by himself / herself shows that based on comparison of products of the same type, based on user information detection, an algorithm and a FAST theory, the intelligent identification and change mirror model can be applied to early recognition of cerebral apoplexy. The problems that an existing cerebral apoplexy early-stage recognition technology excessively depends on a manual scale, is not high in convenience and does not have universality in people are solved by applying a CPSS evaluation mode; therefore, the first-time discovery, first-time notification and first-time treatment of the cerebral apoplexy are realized, so that the treatment delay is reduced, and the case fatality rate and the fatality rate of the cerebral apoplexy attack are reduced.

Description

technical field [0001] The invention relates to a medical detection device, in particular to a device for matching facial state, limb state and voice band with clinical big data, thereby analyzing whether a user is at risk of stroke. Background technique [0002] With the development of society, people's living standards continue to improve, medical knowledge is vigorously promoted, and people's awareness of disease prevention is gradually increasing. Existing stroke prevention methods have begun multi-dimensional screening based on artificial intelligence. The case database is established by collecting the three dimensions of stroke data, and then the artificial intelligence algorithm model of the three dimensions of stroke data is established respectively, and the two are compared to control the risk of stroke. However, this technology does not have an effective carrier yet, and it requires manual data input at regular intervals, and cannot perform real-time monitoring. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H40/60G16H50/30G06V40/16A61B5/00
CPCG16H40/60G16H50/30A61B5/4064A61B5/4076A61B5/7275
Inventor 李明子刘敬怡许可怡郭洋隗静
Owner PEKING UNIV
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