A wearable eye disease self-diagnosis device

Abstract

The application belongs to the field of ophthalmic diagnosis and treatment equipment, specifically a wearable intelligent diagnosis equipment for eye diseases. The wearable intelligent eye disease self-diagnosis device includes an adaptive helmet, a fundus camera system, a control system and a cloud diagnosis system. The adaptive helmet includes a flexible inner layer, a magnetorheological adaptation layer and a rigid outer layer; the fundus photographing system includes a fundus photographing camera and an image recognition system; the cloud diagnosis system includes a cloud database and a disease diagnosis system. The control system adjusts the position of the fundus photographing system by changing the fluidity of the magnetorheological fluid to obtain more accurate fundus photographs. The cloud diagnosis system conducts a preliminary diagnosis of the disease based on the neural convolution network based on the obtained fundus photos, searches the cloud database according to the diagnosis results, conducts cloud consultation, and feeds back the treatment plan to the control system. The self-adaptive helmet is also equipped with a voice interaction system, and the intelligent eye disease diagnosis equipment can enable patients to complete the preliminary detection and diagnosis of eye diseases comfortably and conveniently.

Description

technical field [0001] The application belongs to the field of ophthalmic diagnosis and treatment equipment, specifically a wearable intelligent diagnosis equipment for eye diseases. Background technique [0002] With the rapid development of social informatization, the penetration rate and utilization rate of electronic equipment are increasing day by day. People are highly dependent on computers, mobile phones and other devices with electronic screens in their work and life, which leads to the incidence of many eye diseases, especially rare eye diseases, and this trend is getting younger and younger, and the diagnosis and treatment of eye diseases are getting more and more more attention. [0003] However, due to lack of knowledge popularization, cumbersome inspection process, and high degree of specialization in the use of inspection equipment, most ophthalmic diseases cannot be diagnosed and treated in the early stage of disease. For example, nearly 90% of glaucoma pati...

AI Technical Summary

Problems solved by technology

[0005] However, the inspection of the optic nerve and retina of the fundus depends on professional testing equipment and the operation of professional medical staff. The existing fundus photography equipment uses a bracket structure, and the patient needs to put his head against the fixed bracket when using it. First, professional medical personnel operate the camera equipment to take fundus images, which is poorly adaptable to patients of different heights and shapes. Each examination requires the patient to adjust the sitting posture many times, which is inefficient and poor experience

In addition, due to the occurrence of large-scale infectious diseases such as atypical pneumonia and new coronary pneumonia in recent years, medical resources have been in short supply and hospitals have been closed for many times, which has brought great impact to patients with eye diseases who urgently need to be checked for diagnosis or need regular follow-up visits during recovery. Inconvenience, the current medical field lacks an effective means to enable patients to detect and diagnose ophthalmic diseases comfortably and conveniently without going to the hospital or facing doctors at close range

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