Intraocular pressure monitoring system and intraocular pressure monitoring method

Abstract

The invention discloses an intraocular pressure monitoring system and an intraocular pressure monitoring method. The intraocular pressure monitoring system comprises an in vivo part and an in vitro part, wherein the in vivo part is used for monitoring intraocular parameters in real time, carrying out signal conditioning and transmitting and receiving signals; the in vitro part is used for carryingout wireless energy supply for the in vivo part and carrying out receiving, information fusion and processing on data transmitted by the in vivo part; the in vivo part comprises at least one monitoring unit, the monitoring unit comprises at least two sensors, and the sensor is used for monitoring intraocular pressure parameters; and the in vitro part comprises at least one multi-sensor information fusion module, and the received data re analyzed and processed through an information fusion technology. Through reasonably arranging multiple sensors in the monitoring unit, the intraocular pressure and other parameters can be acquired by using the multi-sensor information fusion technology, thereby effectively improving the intraocular pressure monitoring reliability and the detection precision.

Description

technical field [0001] The invention relates to the field of medical devices, in particular to an intraocular pressure monitoring system. The invention also relates to a method for monitoring intraocular pressure. Background technique [0002] Glaucoma is an eye disease in which the intraocular pressure is continuously or intermittently increased due to excessive aqueous humor in the eye, which exceeds the tolerance of the eyeball and damages the optic nerve. Long-term continuous measurement of intraocular pressure is very important for the diagnosis and treatment of glaucoma patients. [0003] Putting microsensors in the eye by implantation and forming a real-time monitoring system may be a method that can continuously monitor intraocular pressure for a long time. However, the implanted intraocular pressure monitoring devices and methods reported in the current literature often only use one or one sensor, which has the following shortcomings: (1) In terms of detection acc...

AI Technical Summary

Problems solved by technology

However, the implanted intraocular pressure monitoring devices and methods reported in the current literature often only use one or one sensor, which has the following shortcomings: (1) In terms of detection accuracy: the type of intraocular pressure data measured is relatively single, and Patients have many complex situations such as stillness, movement, acceleration and deceleration, body temperature changes, and body position changes in their daily work and life. These situations will have a certain impact on the accurate measurement of intraocular pressure. (2) In terms of reliability: since only one pressure sensor is used to detect intraocular pressure, when the pressure sensor fails or fails, the implantable intraocular pressure monitoring device will also fail immediately

What's more serious is that the wrong intraocular pressure information provided by a single pressure sensor due to failure or failure cannot be corrected, which will lead to wrong judgment, wrong operation and treatment by doctors and patients

In addition, the implantation operation of the intraocular pressure monitoring device may cause a new round of trauma to the patient's body and mind; (3) In terms of intelligence: the current intraocular pressure monitoring method does not mention information fusion technology. Various complex situations in daily work and life require multiple or multiple sensors to cooperate with each other, and simultaneously collect multiple or multiple signals for comprehensive analysis and judgment, in order to improve the intelligence of the system

[0004] In addition, although the IOP measurement and monitoring devices reported in some literatures mentioned the use of multi-sensors, on the one hand, they did not give the reason and purpose of using multi-sensors for IOP monitoring and how to implement multiple or multiple sensors. Arrangement and coordination, on the other hand, the method and algorithm for fusion processing through multi-sensor information are not given

[0005] In short, the implantable intraocular pressure monitoring devices and methods in the prior art are difficult to meet the needs of high-accuracy, high-reliability, and intelligent real-time monitoring of the intraocular pressure of patients.

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