Terahertz-based stable tear film treatment ocular surface detection system
The ocular surface detection system, which integrates a terahertz emission module, an ocular surface detection module, an intelligent control module, and an environmental perception module, solves the problem of separation between detection and treatment in existing technologies. It achieves accurate and long-term detection and treatment of ocular surface diseases, adapts to different environments, provides a non-invasive and safe detection method, and supports long-term data management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-11
- Publication Date
- 2026-04-07
AI Technical Summary
Existing technologies lack an integrated system that combines the water molecule modulation characteristics of terahertz waves with real-time detection of multiple parameters on the ocular surface. This makes it impossible to guide treatment parameters with detection data and monitor the treatment process in real time. Furthermore, it has poor adaptability to environmental factors and is difficult to dynamically adjust detection and treatment strategies according to changes in temperature and humidity, thus failing to meet the clinical needs for accurate detection and long-term treatment of ocular surface diseases.
Design a terahertz-based stable tear film treatment ocular surface detection system, integrating a terahertz emission module, an ocular surface detection module, an intelligent control module, an environmental perception module, and a human-computer interaction module. This system enables real-time detection of multiple ocular surface parameters and precise control of terahertz waves, possessing environmental adaptability and personalized optimization capabilities. By dynamically adjusting terahertz wave parameters through a deep learning model, a closed-loop linkage between detection and treatment is achieved.
It integrates detection and treatment, improves the accuracy of diagnosis and treatment of ocular surface diseases, provides long-term tear film stability, reduces drug dependence, adapts to different environments, provides a non-invasive and safe detection method, supports data-driven long-term management, and reduces recurrence rates.
Smart Images
Figure CN121796128A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application belongs to the technical field of ocular surface disease detection, and particularly relates to a stable tear film treatment ocular surface detection system based on terahertz. BACKGROUND
[0002] Dry eye is a common ocular surface disease, and its core pathological features are decreased tear film stability and abnormal tear osmotic pressure. The main symptoms are ocular surface dryness, burning, blurred vision, and the like. In severe cases, it can lead to corneal epithelial damage, ulceration, and even vision impairment. At present, the detection methods for dry eye in the clinic mainly include ocular surface analyzer detection and osmotic pressure meter detection, and the treatment methods mainly include artificial tear replacement, anti-inflammatory drugs, and punctal plug implantation. However, the existing technology has the problems of separation of detection and treatment, inability to fundamentally regulate the structure of ocular surface water molecules, and short-acting treatment effect.
[0003] The structure and energy state of ocular surface water molecules directly affect the tear osmotic pressure and tear film stability. Dry climate, high temperature, and long-term eye use can cause the hydrogen bond network of ocular surface water molecules to be disordered and the molecular clusters to be too large, thereby causing the tear osmotic pressure to rise and exacerbating dry eye symptoms. In the existing technology, there is a lack of an integrated system that combines the water molecule regulation characteristics of terahertz waves with real-time ocular surface multi-parameter detection, which cannot realize closed-loop regulation of detection data guiding treatment parameters and real-time monitoring of the treatment process, and has poor adaptability to environmental factors, making it difficult to dynamically adjust the detection and treatment strategies according to changes in temperature and humidity.
[0004] As a non-ionizing electromagnetic wave, terahertz waves have a frequency that matches the vibration frequency of water molecules, can excite water molecule resonance, decompose large molecular clusters, and regulate the energy state of water molecules, thereby achieving balanced regulation of tear osmotic pressure. However, the existing terahertz-related eye equipment only has single treatment or detection functions, and lacks intelligent optimization and individual adaptation capabilities, which cannot meet the clinical demand for precise detection and long-acting treatment of ocular surface diseases. SUMMARY
[0005] The main purpose of the present application is to provide a stable tear film treatment ocular surface detection system based on terahertz, which realizes real-time ocular surface multi-parameter detection, precise terahertz wave regulation, closed-loop linkage of detection and treatment, and has environmental self-adaptation and individual optimization capabilities, thereby fundamentally regulating the structure and energy of ocular surface water molecules, stabilizing the tear film, and achieving precise detection and long-acting treatment of dry eye and other ocular surface diseases.
[0006] To achieve the above purpose, the present application provides a stable tear film treatment ocular surface detection system based on terahertz, which comprises a terahertz emission module, an ocular surface detection module, an intelligent control module, an environmental perception module, and a human-computer interaction module, wherein: The terahertz emission module is used to emit adjustable frequency terahertz waves to the ocular surface to regulate the structure and energy of ocular surface water molecules. The ocular surface detection module is used for real-time acquisition of multiple physiological parameters of the ocular surface. The intelligent control module is electrically connected with the terahertz emission module, the ocular surface detection module, the environment perception module and the man-machine interaction module, and realizes detection data processing, terahertz wave parameter regulation and detection result feedback.
[0007] As a further preferred technical solution of the above technical solution, the terahertz emission module comprises a terahertz wave generator, a radiation head and a dynamic scanning focusing unit, wherein: The terahertz wave generator is used for generating terahertz waves, and the frequency output range is 0.1-10THz, and the output power density is 1-10mW / cm 2 , and the wave source type is a quantum cascade laser or a photoconductive antenna; The radiation head is used for directing the terahertz waves to the ocular surface area; The dynamic scanning focusing unit comprises a scanning galvanometer and an adaptive optical system, the scanning galvanometer is used for realizing fast scanning of the terahertz wave beam on the ocular surface area, and the scanning coverage range is 10*10mm 2 ; the adaptive optical system is used for adjusting the focusing depth of the terahertz wave beam in real time, so as to ensure that the energy accurately acts on the tear film and the ocular surface water molecule layer, and the focusing depth adjustment range is 0-2mm.
[0008] As a further preferred technical solution of the above technical solution, the ocular surface detection module integrates a micro-osmometer, an infrared thermal imager and an ocular surface analyzer, wherein: The detection range of the micro-osmometer is 250-350mOsm / L, which is used for acquiring tear osmotic pressure data; the infrared thermal imager is used for acquiring ocular surface temperature distribution data; and the ocular surface analyzer is used for acquiring tear film breakup time, tear film thickness and gland function data.
[0009] As a further preferred technical solution of the above technical solution, the environment perception module comprises a temperature and humidity sensor, which is used for real-time acquisition of temperature and humidity data of the treatment detection environment.
[0010] As a further preferred technical solution of the above technical solution, the intelligent control module is built-in with a deep learning model, the deep learning model is trained based on physiological parameters of the patient's ocular surface, environmental parameters and historical detection and treatment data, and dynamically adjusts the frequency, power of the terahertz wave generator and the scanning mode of the dynamic scanning focusing unit according to the real-time acquisition data of the ocular surface detection module and the environment perception module.
[0011] As a further preferred technical solution of the above technical solution, the human-computer interaction module is a touch screen that displays the terahertz wave parameters, the ocular surface physiological parameter curve, the environmental parameters and the tear film stability index in real time, and supports cloud storage of detection and treatment data and remote medical data linkage.
[0012] As a further preferred technical solution of the above technical solution, the working principle of the system is as follows: Initial evaluation: The ocular surface detection module collects the initial physiological parameters of the patient's ocular surface, including tear film break-up time, osmotic pressure value, tear film thickness, gland function and ocular surface temperature, establishes a detection baseline, and simultaneously collects the current environmental temperature and humidity data through the environmental perception module; Parameter matching: The intelligent control module matches the frequency, power and scanning time parameters of the terahertz wave according to the initial evaluation of the ocular surface physiological parameters and environmental data through a deep learning model, and divides them into a basic detection and treatment mode and a strengthened detection and treatment mode; Terahertz action: The terahertz emission module emits terahertz waves to the ocular surface according to the matched parameters, and the dynamic scanning focusing unit performs full coverage scanning on the ocular surface area, while the ocular surface detection module collects the dynamic change data of the ocular surface physiological parameters in real time; Dynamic regulation: The intelligent control module compares the real-time collected ocular surface physiological parameters with the normal threshold value, and if the tear osmotic pressure deviates from the normal range of 290-310 mOsm / L, automatically adjusts the terahertz wave parameters until the ocular surface physiological parameters tend to be stable; Result analysis: The intelligent control module analyzes all the data in the detection process to generate a tear film stability evaluation report, including parameter change curve, abnormal index marking and treatment suggestion; Long-term tracking: The detection and treatment data of this time are uploaded to the cloud, and the deep learning model optimizes the subsequent parameter matching strategy according to the cumulative data to realize personalized long-term detection and treatment maintenance.
[0013] The beneficial effects of the present application are: 1. Detection and treatment integration: The water molecule regulation function of terahertz waves and the real-time detection function of multiple ocular surface parameters are integrated in the same system, realizing closed-loop regulation of detection data guiding treatment parameters and real-time monitoring of the treatment process, solving the problem of separation of detection and treatment in the prior art, and improving the accuracy of ocular surface disease diagnosis and treatment; 2. Fundamental regulation of tear film stability: The resonance characteristics of terahertz waves and water molecules are used to directly regulate the hydrogen bond network and molecular cluster structure of ocular surface water molecules, and to improve the energy state of water molecules, thus fundamentally solving the problem of abnormal tear osmotic pressure, and realizing long-term tear film stability effect compared with traditional artificial tears and other replacement therapies, reducing the patient's dependence on drugs; 3. Intelligent Personalized Adaptation: The system has a built-in deep learning model that automatically matches and dynamically optimizes terahertz wave parameters based on the patient's ocular surface physiological parameters, environmental parameters, and historical data. It also supports graded detection and treatment of mild, moderate and severe dry eye syndrome to meet the personalized needs of different patients. 4. Environmental Adaptation: The system collects temperature and humidity data in real time through the environmental sensing module and intelligently adjusts the terahertz wave parameters to effectively counteract the effects of environmental factors such as dryness and high temperature on the structure of ocular surface water molecules, thereby improving the detection and treatment effects of the system in different environments. 5. Non-invasive and safe: Terahertz waves are non-ionizing electromagnetic waves, and their output power meets biosafety standards. They also use a non-invasive ocular surface scanning method, which is non-contact and non-traumatic, avoiding the risk of eye damage caused by traditional invasive detection and treatment, and has high patient acceptance. 6. Data-driven long-term management: Supports cloud storage of detection and treatment data and remote medical linkage, enabling long-term tracking and dynamic evaluation of the patient's ocular surface condition, providing data support for the long-term treatment and maintenance of chronic dry eye patients, and effectively reducing the recurrence rate of dry eye; 7. Easy to operate: It adopts a touch screen human-computer interaction module, which displays various parameters and change curves in real time. It supports both automatic and manual control modes, and is simple and easy to understand to operate. It is suitable for various clinical scenarios such as hospital ophthalmology departments and optometry centers. Attached Figure Description
[0014] Fig. 1 This is a system schematic diagram of the present invention.
[0015] Fig. 2 This is a schematic diagram illustrating the working principle of the present invention. Detailed Implementation
[0016] The following description is intended to disclose the present invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art. The basic principles of the invention defined in the following description can be applied to other embodiments, modifications, improvements, equivalents, and other technical solutions that do not depart from the spirit and scope of the invention.
[0017] In the preferred embodiments of the present invention, those skilled in the art should note that terahertz and other technologies involved in the present invention can be considered as prior art.
[0018] Preferred embodiment.
[0019] like Figs. 1-2 As shown, this invention discloses a terahertz-based stable tear film treatment ocular surface detection system, comprising a terahertz emission module, an ocular surface detection module, an intelligent control module, an environmental perception module, and a human-computer interaction module, wherein: The terahertz emission module is used to emit tunable terahertz waves to the ocular surface to regulate the structure and energy of water molecules on the ocular surface. The ocular surface detection module is used to collect multiple physiological parameters of the ocular surface in real time. The intelligent control module is electrically connected to the terahertz emission module, the ocular surface detection module, the environmental perception module, and the human-computer interaction module, respectively, to realize detection data processing, terahertz wave parameter adjustment, and detection result feedback.
[0020] Specifically, the terahertz emission module includes a terahertz wave generator, a radiating head, and a dynamic scanning focusing unit, wherein: The terahertz wave generator is used to generate terahertz waves, with a frequency output range of 0.1-10 THz and an output power density of 1-10 mW / cm². 2 The wave source type is a quantum cascade laser or a photoconductive antenna; The radiating head is used to direct terahertz waves to the ocular surface region; The dynamic scanning focusing unit includes a scanning galvanometer and an adaptive optics system. The scanning galvanometer is used to achieve rapid scanning of the terahertz beam across the ocular surface region, with a scanning coverage area of 10×10mm. 2 The adaptive optics system is used to adjust the focusing depth of the terahertz beam in real time to ensure that the energy is accurately applied to the tear film and the water molecule layer on the ocular surface. The focusing depth adjustment range is 0-2mm.
[0021] More specifically, the ocular surface detection module integrates a miniature osmoregometer, an infrared thermal imager, and an ocular surface analyzer, wherein: The micro osmometer has a detection range of 250-350 mOsm / L and is used to collect tear osmotic pressure data; the infrared thermal imager is used to collect ocular surface temperature distribution data; and the ocular surface analyzer is used to collect tear film breakup time, tear film thickness, and glandular function data.
[0022] Furthermore, the environmental sensing module includes a temperature and humidity sensor for real-time acquisition of temperature and humidity data of the treatment detection environment.
[0023] Furthermore, the intelligent control module incorporates a deep learning model, which is trained based on the patient's ocular surface physiological parameters, environmental parameters, and historical detection and treatment data. Based on the real-time data collected by the ocular surface detection module and the environmental perception module, the deep learning model dynamically adjusts the frequency and power of the terahertz wave generator and the scanning mode of the dynamic scanning focusing unit.
[0024] Preferably, the human-computer interaction module is a touch screen that displays terahertz wave parameters, ocular surface physiological parameter curves, environmental parameters, and tear film stability indicators in real time, and supports cloud storage of detection and treatment data and remote medical data linkage.
[0025] Preferably, it also includes an eyelid fixator, used to fix the patient's eyelids during the detection and treatment process, ensuring that the eyeball is in a naturally open state, so that the terahertz wave can evenly cover the cornea, conjunctiva and tear film area.
[0026] Preferably, the system works as follows: Initial assessment: The ocular surface detection module collects the patient's initial ocular surface physiological parameters, including tear film breakup time, osmotic pressure, tear film thickness, glandular function, and ocular surface temperature, to establish a detection baseline. At the same time, the environmental sensing module collects the current ambient temperature and humidity data. Parameter matching: Based on the initial assessment of ocular surface physiological parameters and environmental data, the intelligent control module matches the frequency, power and scanning time parameters of the terahertz wave through a deep learning model, and divides them into basic detection and treatment mode and enhanced detection and treatment mode. Terahertz function: The terahertz emission module emits terahertz waves to the ocular surface according to the matching parameters, the dynamic scanning focusing unit performs a full-coverage scan of the ocular surface area, and at the same time the ocular surface detection module collects dynamic change data of ocular surface physiological parameters in real time. Dynamic regulation: The intelligent control module compares the real-time collected ocular surface physiological parameters with normal thresholds. If the tear osmotic pressure deviates from the normal range of 290-310 mOsm / L, it automatically adjusts the terahertz wave parameters until the ocular surface physiological parameters tend to stabilize. Results Analysis: The intelligent control module analyzes all data during the detection process and generates a tear film stability assessment report, which includes parameter change curves, abnormal index annotations, and treatment recommendations. Long-term tracking: The data from this test and treatment is uploaded to the cloud, and the deep learning model optimizes the subsequent parameter matching strategy based on the accumulated data to achieve personalized long-term testing and treatment maintenance.
[0027] Preferably, the terahertz wave parameters of the basic detection and treatment mode are a frequency of 0.8 THz and a power of 3 mW / cm². 2 The scanning time is 5 minutes per session, suitable for patients with mild dry eye syndrome; the terahertz wave parameters for the enhanced detection and treatment mode are a frequency of 1.2 THz and a power of 6 mW / cm². 2 The scanning time is 10 minutes per scan, which is suitable for patients with moderate to severe dry eye syndrome. When the ambient humidity is <30%, the intelligent control module automatically increases the terahertz wave frequency to 1.0THz to enhance the hydrogen bond stability of water molecules on the ocular surface.
[0028] System debugging process: Power on each module, calibrate the zero point of the ocular surface detection module, and ensure that the detection errors of parameters such as osmotic pressure and tear film breakup time are within the allowable range; debug the terahertz emission module and verify that the scanning range of the scanning galvanometer is 10×10mm. 2The focusing depth of the adaptive optics system can be continuously adjusted within the range of 0-2mm; the linkage of the intelligent control module is tested to ensure that it can automatically adjust the terahertz wave parameters according to the simulated ocular surface parameters and environmental data; the display and data upload functions of the human-computer interaction module are tested to ensure that all parameters can be displayed in real time and the data can be successfully uploaded to the cloud server.
[0029] It is worth mentioning that the terahertz and other technical features involved in this patent application should be regarded as prior art. The specific structure, working principle, and possible control methods and spatial arrangement of these technical features can be adopted using conventional choices in the field, and should not be regarded as the inventive point of this patent. This patent will not be further elaborated in detail.
[0030] For those skilled in the art, modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this invention should be included within the protection scope of this invention.
Claims
1. A terahertz-based stable tear film treatment ocular surface detection system, characterized in that, It includes a terahertz emission module, an ocular surface detection module, an intelligent control module, an environmental perception module, and a human-computer interaction module, among which: The terahertz emission module is used to emit tunable terahertz waves to the ocular surface to regulate the structure and energy of water molecules on the ocular surface. The ocular surface detection module is used to collect multiple physiological parameters of the ocular surface in real time. The intelligent control module is electrically connected to the terahertz emission module, the ocular surface detection module, the environmental perception module, and the human-computer interaction module, respectively, to realize detection data processing, terahertz wave parameter adjustment, and detection result feedback.
2. The terahertz-based stable tear film treatment ocular surface detection system according to claim 1, characterized in that, The terahertz emission module includes a terahertz wave generator, a radiating head, and a dynamic scanning focusing unit, wherein: The terahertz wave generator is used to generate terahertz waves, with a frequency output range of 0.1-10 THz and an output power density of 1-10 mW / cm². 2 The wave source type is a quantum cascade laser or a photoconductive antenna; The radiating head is used to direct terahertz waves to the ocular surface region; The dynamic scanning focusing unit includes a scanning galvanometer and an adaptive optics system. The scanning galvanometer is used to achieve rapid scanning of the terahertz beam across the ocular surface region, with a scanning coverage area of 10×10mm. 2 The adaptive optics system is used to adjust the focusing depth of the terahertz beam in real time to ensure that the energy is accurately applied to the tear film and the water molecule layer on the ocular surface. The focusing depth adjustment range is 0-2mm.
3. The terahertz-based stable tear film treatment ocular surface detection system according to claim 2, characterized in that, The ocular surface detection module integrates a miniature osmoregometer, an infrared thermal imager, and an ocular surface analyzer, wherein: The micro osmometer has a detection range of 250-350 mOsm / L and is used to collect tear osmotic pressure data; the infrared thermal imager is used to collect ocular surface temperature distribution data; and the ocular surface analyzer is used to collect tear film breakup time, tear film thickness, and glandular function data.
4. The terahertz-based stable tear film treatment ocular surface detection system according to claim 3, characterized in that, The environmental sensing module includes a temperature and humidity sensor, which is used to collect temperature and humidity data of the treatment and detection environment in real time.
5. The terahertz-based stable tear film treatment ocular surface detection system according to claim 4, characterized in that, The intelligent control module has a built-in deep learning model, which is trained based on the patient's ocular surface physiological parameters, environmental parameters, and historical detection and treatment data. Based on the real-time data collected by the ocular surface detection module and the environmental perception module, the module dynamically adjusts the frequency, power, and scanning mode of the terahertz wave generator and the dynamic scanning focusing unit.
6. The terahertz-based stable tear film treatment ocular surface detection system according to claim 1, characterized in that, The human-computer interaction module is a touch screen that displays terahertz wave parameters, ocular surface physiological parameter curves, environmental parameters, and tear film stability indicators in real time. It also supports cloud storage of detection and treatment data and remote medical data linkage.
7. The terahertz-based stable tear film treatment ocular surface detection system according to claim 1, characterized in that, The system works as follows: Initial assessment: The ocular surface detection module collects the patient's initial ocular surface physiological parameters, including tear film breakup time, osmotic pressure, tear film thickness, glandular function, and ocular surface temperature, to establish a detection baseline. At the same time, the environmental sensing module collects the current ambient temperature and humidity data. Parameter matching: Based on the initial assessment of ocular surface physiological parameters and environmental data, the intelligent control module matches the frequency, power and scanning time parameters of the terahertz wave through a deep learning model, and divides them into basic detection and treatment mode and enhanced detection and treatment mode. Terahertz function: The terahertz emission module emits terahertz waves to the ocular surface according to the matching parameters, the dynamic scanning focusing unit performs a full-coverage scan of the ocular surface area, and at the same time the ocular surface detection module collects dynamic change data of ocular surface physiological parameters in real time. Dynamic regulation: The intelligent control module compares the real-time collected ocular surface physiological parameters with normal thresholds. If the tear osmotic pressure deviates from the normal range of 290-310 mOsm / L, it automatically adjusts the terahertz wave parameters until the ocular surface physiological parameters tend to stabilize. Results Analysis: The intelligent control module analyzes all data during the detection process and generates a tear film stability assessment report, which includes parameter change curves, abnormal index annotations, and treatment recommendations. Long-term tracking: The data from this test and treatment is uploaded to the cloud, and the deep learning model optimizes the subsequent parameter matching strategy based on the accumulated data to achieve personalized long-term testing and treatment maintenance.