WO2020029792A1 - Intraocular pressure monitoring system and intraocular pressure monitoring method - Google Patents

Abstract

An intraocular pressure monitoring system, comprising an in-vivo portion (100) and an in-vitro portion (200). The in-vivo portion (100) is used for monitoring an intraocular parameter in real time, performing signal conditioning, and sending and receiving a signal; and the in-vitro portion (200) is used for wirelessly supplying energy to the in-vivo portion (100), and receiving data transmitted from the in-vivo portion (100) and performing information fusion and processing on same, wherein the in-vivo portion (100) comprises at least one monitoring unit (110), the monitoring unit (110) comprising at least two sensors, and the sensors being used for monitoring an intraocular pressure parameter; and the in-vitro portion (200) comprises at least one multi-sensor information fusion module (221), and performs analysis processing on the received data by means of an information fusion technique. In the intraocular pressure monitoring system, multiple sensors are rationally arranged in the monitoring unit (110) such that the intraocular pressure and other parameters can be obtained by using a multi-sensor information fusion technique, thereby effectively improving the reliability and detection accuracy of intraocular pressure monitoring.

Description

Intraocular pressure monitoring system and method Technical field

The present disclosure relates to the field of medical devices, and in particular, to an intraocular pressure monitoring system. The present disclosure also relates to an intraocular pressure monitoring method.

Background technique

Glaucoma is a disease of the eye that damages the optic nerve due to continuous or intermittent elevation of intraocular pressure caused by excessive aqueous humor in the eye, which exceeds the tolerance of the eyeball. Long-term continuous measurement of intraocular pressure is of great significance for the diagnosis and treatment of glaucoma patients.

It is possible to put a micro-sensor into the eye and form a real-time monitoring system by implantation. However, the implantable intraocular pressure monitoring devices and methods in the current literature and reports often use only one or one sensor, which has the following disadvantages: (1) in terms of detection accuracy: the type of measured intraocular pressure data is relatively single, and Patients have many complex situations such as stillness, movement, acceleration and deceleration, body temperature changes, and body position changes in daily work and life. These conditions will affect the accurate measurement of intraocular pressure, so it is impossible to obtain a more accurate and reliable eye. Pressure data and information; (2) Reliability: Because only one pressure sensor is used to detect intraocular pressure, when the pressure sensor fails or fails, the implantable tonometer will also fail. What is 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 cause doctors and patients to make wrong judgments, incorrect operations and treatments. In addition, re-implantation of the intraocular pressure monitoring device may cause a new round of trauma to the patient's body and mind; (3) intelligent aspects: the current method of intraocular pressure monitoring does not mention information fusion technology, but patients in the 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.

In addition, although some IOP measurement and monitoring devices reported in the literature mention the use of multiple sensors, on the one hand, the reason and purpose of using multiple sensors for IOP monitoring and the rationality of how to perform multiple or multiple sensors are not given. The arrangement and coordination, on the other hand, does not give a method and algorithm for fusion processing through multi-sensor information.

In short, the implantable intraocular pressure monitoring device and method in the prior art are difficult to meet the needs of high accuracy, high reliability, and intelligent real-time monitoring of the patient's intraocular pressure.

Summary of the invention

Based on the above status, the main purpose of the present disclosure is to provide an intraocular pressure monitoring system and an intraocular pressure monitoring method that utilize multi-sensor information fusion technology to monitor intraocular pressure in real time, which can not only improve the reliability and measurement accuracy of intraocular pressure monitoring, It can prompt the monitored person when the intraocular pressure is abnormal to avoid damage to the monitored person's optic nerve.

In order to achieve the above purpose, the technical solutions adopted in the present disclosure are as follows:

An intraocular pressure monitoring system includes an internal body part and an external body part, the internal body part is used for real-time monitoring of intraocular parameters, signal conditioning, sending and receiving signals; the external body part is used for wireless energy supply of the internal body part, and Receiving, information fusion and processing of the internal body data;

Wherein, the body part includes at least one monitoring unit, and the monitoring unit includes at least two sensors, and the sensors are used for monitoring the intraocular pressure parameter;

The in vitro part includes at least one multi-sensor information fusion module, which analyzes and processes the received data through information fusion technology.

Preferably, the monitoring unit includes at least one pressure sensor for monitoring intraocular pressure.

Preferably, the monitoring unit further includes at least one drainage tube, and the drainage tube is connected to at least one pressure sensor in the monitoring unit;

The drainage tube is used to be inserted into the eyeball, so as to drain the aqueous humor to the monitoring unit.

Preferably, the extracorporeal portion includes at least one sensor.

Preferably, the extracorporeal portion includes at least one pressure sensor for monitoring atmospheric pressure;

And / or, the extracorporeal part includes at least one acceleration sensor and / or at least one gyroscope sensor for measuring and / or monitoring the acceleration and / or angular velocity of the body of the subject, so that the intraocular pressure monitoring system can pass the monitoring The acceleration and / or angular velocity and / or posture of the subject's body improves the accuracy of the intraocular pressure measurement;

And / or, the extracorporeal portion includes at least one temperature sensor for measuring and / or monitoring the temperature of the subject and / or the environment, so that the intraocular pressure monitoring system can consider or exclude the impact of temperature changes on the intraocular pressure monitoring .

Preferably, the monitoring unit includes at least one acceleration sensor and / or at least one gyroscope sensor, which is used to monitor the acceleration and / or angular velocity of the head of the subject, so that the intraocular pressure monitoring system can monitor the acceleration and / or angular velocity. Effect on intraocular pressure;

And / or, the monitoring unit includes at least one temperature sensor, which is used to monitor the body temperature of the subject, so that the intraocular pressure monitoring system can monitor the impact of changes in body temperature on intraocular pressure.

Preferably, the external body part includes a signal relay unit and a host computer processing unit, and the signal relay unit is configured to receive parameter data transmitted by the internal body part and relay the received data to the host computer processing unit. The at least one multi-sensor information fusion module is disposed in the host computer processing unit.

Preferably, the external part further includes a cloud processing unit, and the cloud processing unit can communicate with the host computer processing unit in order to receive and store parameter data from the host computer processing unit, and can use multi-sensor information The fusion technology reanalyzes the received data, and feeds back the analysis result to the host computer processing unit.

Preferably, the signal relay unit is adapted to be worn on the head, chest, torso and / or limbs of the subject.

An intraocular pressure monitoring method adopts the aforementioned intraocular pressure monitoring system. The external part of the intraocular pressure monitoring system includes a signal relay unit and a host computer processing unit. The intraocular pressure monitoring method includes the steps:

S10. The body part monitors the intraocular pressure of the subject and converts the pressure signal into an electrical signal;

S20. The in vivo part sends monitoring data to the signal relay unit;

S30. The signal relay unit sends data from the internal body part to the host computer processing unit;

S40. The host computer processing unit uses information fusion technology to analyze and process the received data;

S50. The host computer processing unit judges whether the intraocular pressure is abnormal according to the processing result, and provides the intraocular pressure information when the intraocular pressure is normal, and issues a prompt signal when confirming that the intraocular pressure is abnormal.

Preferably, the monitoring unit includes at least two pressure sensors; in step S50, the host computer processing unit comprehensively judges the condition of the intraocular pressure based on the data of the two or more pressure sensors through a data fusion algorithm and data.

Preferably, in step S50, the host computer processing unit determines the condition of the intraocular pressure, and can diagnose the abnormality of the intraocular pressure when any one of the following three conditions is met:

(1) IOP exceeds a millimeter of mercury,

(2) the difference in binocular pressure is greater than b mm Hg,

(3) The difference in intraocular pressure in t1 hour exceeds c mmHg,

Among them, t1 = 1 to 100, a = 3 to 80, b = 3 to 10, and c = 3 to 30.

Preferably, the monitoring unit or the signal relay unit includes at least one acceleration sensor and / or at least one gyro sensor; in step S50, the host computer processing unit performs an intraocular pressure measurement based on the measurement results of the acceleration and / or angular velocity sensor. The measurement results are corrected or compensated, and when it is confirmed that the fluctuation of the intraocular pressure with acceleration and / or angular velocity exceeds a predetermined limit, a warning signal is issued.

Preferably, the monitoring unit includes at least one pressure sensor and at least one temperature sensor;

In step S10, the monitoring unit also monitors the body temperature of the subject and converts the temperature signal into an electrical signal;

In step S50, the host computer processing unit first corrects the temperature drift generated by the pressure sensor with changes in the body temperature, obtains the corrected pressure value, and then determines whether the intraocular pressure is abnormal according to the corrected pressure value.

Preferably, the intraocular pressure monitoring system includes a cloud processing unit; step S50 includes steps:

S510. The host computer processing unit transmits the processed and / or unprocessed data to the cloud processing unit;

S520. The cloud processing unit uses information fusion technology to reanalyze the received data, and feeds back the analysis result to the host computer processing unit;

S530. The host computer processing unit determines whether the intraocular pressure is abnormal according to the received feedback information, and sends a prompt signal when it is determined that the intraocular pressure is abnormal.

According to the present disclosure, by properly arranging multiple sensors in the monitoring unit, the intraocular pressure and other parameters can be obtained by using the multi-sensor information fusion technology, thereby effectively improving the reliability and detection accuracy of the intraocular pressure monitoring.

BRIEF DESCRIPTION OF THE DRAWINGS

Hereinafter, preferred embodiments of the intraocular pressure monitoring system and the intraocular pressure monitoring method according to the present disclosure will be described with reference to the accompanying drawings. In the picture:

1 is a schematic diagram of a composition and a structure of an intraocular pressure monitoring system according to a preferred embodiment of the present disclosure;

2 is a schematic structural diagram of a monitoring unit according to a preferred embodiment of the present disclosure;

FIG. 3 is a schematic structural diagram of a monitoring unit according to a preferred embodiment of the present disclosure, in which only an arrangement manner of sensors is illustrated;

4 is a schematic structural diagram of a monitoring unit according to another preferred embodiment of the present disclosure, in which only an arrangement manner of sensors is illustrated;

5 is a schematic structural diagram of a monitoring unit according to another preferred embodiment of the present disclosure, in which only an arrangement manner of sensors is illustrated;

6 is a schematic structural diagram of a signal relay unit according to a preferred embodiment of the present disclosure;

7 is a schematic structural diagram of a monitoring unit according to still another preferred embodiment of the present disclosure, in which only an arrangement manner of sensors is illustrated;

8 is a schematic structural diagram of a monitoring unit according to still another preferred embodiment of the present disclosure, in which only an arrangement manner of sensors is illustrated;

9 is a schematic structural diagram of a monitoring unit according to still another preferred embodiment of the present disclosure, in which only an arrangement manner of sensors is illustrated;

FIG. 10 is a schematic structural diagram of a monitoring unit according to still another preferred embodiment of the present disclosure, where only an arrangement manner of sensors is illustrated.

FIG. 11 is a schematic structural diagram of a monitoring unit according to still another preferred embodiment of the present disclosure, where only an arrangement manner of a sensor is illustrated.

FIG. 12 is a schematic diagram of simultaneously implanting a monitoring unit into an eyeball and a cranial cavity according to a preferred embodiment of the present disclosure;

13 is a schematic diagram of a monitoring unit implanted into an eyeball according to a preferred embodiment of the present disclosure;

14 is a schematic diagram of a monitoring unit implanted into an eyeball according to another preferred embodiment of the present disclosure;

15 is a flowchart of an intraocular pressure monitoring method according to a preferred embodiment of the present disclosure;

16 is a flowchart of an intraocular pressure monitoring method according to another preferred embodiment of the present disclosure;

Reference sign description

100 internal body monitoring unit 110 intraocular pressure monitoring module 111a pressure sensor 111b pressure sensor 111c pressure sensor 111d pressure sensor 111e pressure sensor 111f pressure sensor 112 temperature monitoring module 112a temperature sensor 112b temperature sensor 113a acceleration sensor 114 angular velocity monitoring module 114a gyroscope sensor 114b intracranial pressure monitoring module 115a pressure sensor 116a heart rate sensor 117a blood glucose sensor 120 signal conditioning unit 130 wireless communication unit 140 energy receiving and supplying unit 150 drainage tube 150a drainage tube 150 150c drainage tube, 151 drainage tube, 152 drainage tube, 200 external part, 210 signal relay unit, 211 power module, 212 power management module, 213 signal receiving module, 214 signal transmission module, 220 upper computer processing unit, 221 multi-sensor information fusion module, 230 cloud The processing unit

detailed description

A first aspect of the present disclosure provides an intraocular pressure monitoring system, as shown in FIG. 1, including an in vivo portion 100 and an extracorporeal portion 200, wherein the in vivo portion includes a monitoring unit 110, a signal conditioning unit 120, a wireless communication unit 130, and an energy receiving unit. With the supply unit 140, the external part includes a signal relay unit 210, a host computer processing unit 220, and a cloud processing unit 230.

1. Multiple and multiple sensors

In the intraocular pressure monitoring system of the present disclosure, the type and number of sensors can be matched as required to obtain different monitoring effects.

The implantable intraocular pressure monitoring device in the prior art uses only one or one type of pressure sensor to detect intraocular pressure, and therefore has the following disadvantages: (1) in terms of detection accuracy: the type of the measured intraocular pressure data is relatively single, and the patient is There are many complicated situations in daily work and life, such as stillness, movement, acceleration and deceleration, body temperature changes, and body position changes. These conditions will affect the accurate measurement of intraocular pressure, so it is impossible to obtain more accurate and reliable intraocular pressure data. And information. (2) Reliability: Because only one pressure sensor is used to detect intraocular pressure, when the pressure sensor fails or fails, the implantable intraocular pressure monitoring device also fails immediately. What is 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 cause doctors and patients to make wrong judgments, incorrect operations and treatments. In addition, re-implantation 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 IOP monitoring method does not mention information fusion technology, but patients have many complex situations in daily work and life, which require multiple or multiple sensors to cooperate with each other and collect multiple Or comprehensive analysis and judgment of multiple signals can improve the intelligence of the system. Therefore, the measurement accuracy, reliability, and intelligence of the implantable intraocular pressure monitoring device need to be improved.

Based on this disclosure, we can design and choose an intraocular pressure monitoring system based on reliability theory and error analysis theory.

Reliability is defined as the ability of a product to perform a specified function under specified conditions and within a specified time. The probability measure of reliability is called reliability, and it is generally recorded as R (t). The reliability function can be expressed as a function of time t, which can be expressed as

R (t) = P (T> t) (Formula 1)

Among them, t is a predetermined time, T is the life of the product, and P (E) is the probability of occurrence of event E.

From the definition of reliability, we know that R (t) describes the probability that the product will be intact within (0, t) time, and R (0) = 1, R (+ ∞) = 0. That is, when it is started, all products are good; as long as it is long enough, all products will fail.

Accordingly, there is an unreliability F (t), or cumulative failure probability. Then there are:

R (t) + F (t) = 1 (Formula 2)

Defining the derivative of the cumulative failure probability F (t) as f (t), then f (t) represents the failure probability of the product at unit time at time t, then:

Among them, t is a predetermined time, n (t) represents the number of products that fail to complete the specified function by time t, and N represents the number of products put into work at the beginning of the interval.

Redefine the failure rate λ (t) as the probability that a product that has not failed until time t will fail in a unit time after that time t.

The probability formula is used as:

Further:

due to:

f (t) =-R ′ (t)

R ′ (t) =-f (t)

which is:

From this, the relationship between reliability and failure rate is obtained:

Assume that the annual loss rate of a sensor in an existing implantable intraocular pressure monitoring device is 1%, that is, the probability of failure of a sensor after 1 year of operation is 1%. Then, under the condition of constant reliability, how to Is the working life of existing implantable intraocular pressure monitoring devices increased to 10 years? Even 20 years?

According to the above formulas 2 and 5, the failure probability can be obtained:

Then an annual loss rate of a pressure sensor in the existing implantable intraocular pressure monitoring device is available at 1%.

In order to improve the working life of the existing implanted tonometers to 10 years, the implanted tonometers can work with multiple identical pressure sensors. The existing implanted tonometer with only one pressure sensor The probability of failure of the monitoring device is 1%, then

The number of available pressure sensors n is 1.95, that is, the existing implantable intraocular pressure monitoring device uses two identical pressure sensors to work together, which can improve the working life of the existing implantable intraocular pressure monitoring device to more than 10 years. Similarly, when the working life is set to 20 years, the number of available pressure sensors n is 2.70, that is, the existing implantable intraocular pressure monitoring device uses three identical pressure sensors to work together, which can improve the existing implantable intraocular pressure. The working life of the monitoring device is more than 20 years.

Based on the design idea of the above-mentioned implantable intraocular pressure monitoring device, the monitoring unit 110 of the present disclosure includes more than two pressure sensors. Even if one of the pressure sensors fails, at least one pressure sensor can work normally. The corresponding monitoring unit 110 That is still effective. Therefore, the intraocular pressure monitoring system of the present disclosure can also effectively delay the failure of the monitoring unit 110 implanted in the body, thereby reducing the risk of the subject undergoing a second operation and reducing pain.

In addition, the implantable intraocular pressure monitoring devices in the prior art often use only one or one type of pressure sensor to measure the relative IOP data, and patients have static, motion, acceleration and deceleration, and body temperature in daily work and life. There are many complicated situations such as changes in body position, these conditions will affect the accurate measurement of intraocular pressure, so it is necessary to use multiple or multiple sensors to cooperate with each other, and simultaneously collect multiple or multiple signals for comprehensive analysis and judgment. In order to obtain more accurate and reliable intraocular pressure data and information. This problem will be more prominent, so that the implantable intraocular pressure monitoring device in the prior art cannot accurately, comprehensively and efficiently detect the intraocular pressure. The disclosed intraocular pressure monitoring system can overcome these problems. The preferred embodiments are as follows:

1.1 In-vivo (intra-eye) part 100 with two or more pressure sensors

Preferably, as shown in FIG. 3, the monitoring unit 110 includes at least two pressure sensors 111 a and 111 b arranged in parallel, that is, at least two pressure sensors 111 a and 111 b are installed close to each other and have the same measurement direction. Among them, each pressure sensor can convert the eye pressure parameter of the subject into a corresponding electric signal. As shown in FIG. 1, the energy receiving and supplying unit 140 and the signal relay unit 210 are connected in a coil coupling manner. (Preferably connected by Near Field Communication (NFC)), the signal relay unit 210 transmits the electrical signals collected by the internal body part 100 to the host computer processing unit 220, and the host computer processing unit 220 uses information fusion The technology processes the signals collected by the monitoring unit 110, so that at least two sets of intraocular pressure data of the subject can be obtained in real time.

For example, when two or more pressure sensors are arranged in the internal (intraocular) part 100, and the consistency of multiple sets of intraocular pressure data measured by the two or more pressure sensors is not good, Judging the reliability of the in-vivo sensor based on the error analysis theory. In the event of an abnormality, the monitored person needs to contact the doctor in time to calibrate the pressure sensor in the body, so that the IOP data of the monitored person can be corrected, or the IOP data of the monitored person can be excluded. For example, as shown in FIG. 4, the monitoring unit 110 is provided with more than two pressure sensors 111 a, 111 b, and 111 c, and the average value of the intraocular pressure data detected by the multiple pressure sensors is M mmHg. If the monitoring unit 110 The difference between the IOP data n and the average value M detected by any of the pressure sensors is greater than or equal to dmmHg, where d is a preset deviation value, preferably d≥0.1, indicating that the reliability of the pressure sensor in the body needs to be tested at this time. , The monitored person needs to contact the doctor in time to calibrate the pressure sensor in the body, so that the intraocular pressure data of the monitored person can be corrected, or the monitored intraocular pressure data can be excluded; The difference between the intraocular pressure data n and the average value M detected by any pressure sensor in the unit 110 ≤ d mmHg indicates that the in-vivo sensor can work normally, and the intraocular pressure is the average value of the pressure data;

It can be seen that when the monitoring unit 110 includes more than two pressure sensors, the reliability and accuracy of each pressure sensor can be verified by the information fusion of the two or more pressure sensors, thereby improving the accuracy of the intraocular pressure monitoring.

1.2 Two pressure sensors are arranged inside the body and one atmospheric pressure sensor is arranged outside the body

Preferably, the first absolute pressure sensor 111a and the second absolute pressure sensor 111b are arranged side by side in the monitoring unit 110 shown in FIG. 3, and the third absolute pressure sensor 111c is arranged in the extracorporeal portion 200 of the intraocular pressure monitoring system. For example, the third absolute pressure sensor 111c and its signal conditioning unit 120 are directly installed or integrated in the host computer processing unit 220. Because the pressure measured by the first absolute pressure sensor 111a and the second absolute pressure sensor 111b is higher than the external pressure (ie, atmospheric pressure), and the pressure measured by the third absolute pressure sensor 111c is equal to the atmospheric pressure, therefore, the first absolute pressure sensor 111a, By subtracting the output of the third absolute pressure sensor 111c from the average value of the output of the second absolute pressure sensor 111b, the IOP value of the subject can be obtained. In addition, this embodiment can also obtain two sets of intraocular pressure data of the subject in real time. When the consistency of the two sets of intraocular pressure data is not good, the reliability of the internal sensor can be judged according to the error analysis theory. The monitor needs to contact the doctor in time to calibrate the pressure sensor in the body, so that the intraocular pressure data of the monitored person can be corrected, or the erroneous intraocular pressure data of the monitored person can be excluded; for example, two pressure sensors in the monitoring unit 110 detect The average value of the obtained IOP data is M mmHg. If the difference between the IOP data n detected by any pressure sensor in the monitoring unit 110 and the average M is greater than d mm Hg, where d is a preset deviation value, preferably d ≥0.1, it means that the reliability of the pressure sensor in the body needs to be tested at this time. The monitored person needs to contact the doctor in time to calibrate the pressure sensor in the body, so that the tonometer data of the monitored person can be corrected, or the error of the monitored person can be excluded Intraocular pressure data; if the difference between the intraocular pressure data n and the average value M detected by any pressure sensor in the monitoring unit 110 is less than or equal to d mmHg, it means that the in vivo sensor is normal Work, IOP is the average of pressure data.

1.3 At least one pressure sensor, one acceleration sensor and one gyroscope sensor are arranged in the body.

As another example, as shown in FIG. 5, the pressure sensor 111 a is used to detect the intraocular pressure, and the acceleration sensor 113 a and the gyro sensor 114 a are respectively used to detect the acceleration and the position of the subject's body. Therefore, when the monitoring unit 110 also includes a pressure sensor For 111a, acceleration sensor 113a, and gyro sensor 114a, the information fusion of these sensors can be effectively detected by the host computer processing unit 220, which can effectively detect the IOP data of the subject under various accelerations and angular velocities, so that the doctor can evaluate the impact The impact of the body position and exercise state of the monitor on the intraocular pressure is to remind the monitor to avoid some dangerous actions and / or poor exercise and living habits in the case of abnormal intraocular pressure. In an alternative embodiment, in order to reduce the volume and integration difficulty of the monitoring unit 110, the acceleration sensor 113a and the gyro sensor 114a may be mounted on an external part such as the signal relay unit 210.

Preferably, the monitoring unit 110 and the signal transfer unit 210 are connected through a near field communication technology (NFC). Preferably, the signal relay unit 210 is adapted to be worn on the head, chest and / or limbs of the subject, for example, it can be in the form of glasses, goggles, hats, etc., as long as it can ensure that it is in contact with the monitoring unit 110 implanted in the eye It is sufficient to be able to communicate reliably, that is, the two should be as close as possible.

Preferably, the signal transfer unit 210 and the host computer processing unit 220 are connected in a wired or wireless manner.

Preferably, as shown in FIG. 2, each sensor constitutes each module of the signal collection of the monitoring unit 110, and is used to detect parameters such as pressure, temperature, acceleration, and angular velocity, and convert the detected parameters into corresponding electrical signals. As shown in FIG. 1, in addition to the monitoring unit 110, the intraocular portion further includes a signal conditioning unit 120, a wireless communication unit 130, and an energy receiving and supplying unit 140. The signal conditioning unit 120 includes a filter circuit and an amplification circuit. The monitoring unit 110 transmits an electric signal to the signal conditioning unit 120 for conditioning. The signal conditioning unit 120 performs filtering through a filter circuit in turn and passes through the amplification circuit. After the amplification, the high-frequency and intermediate-frequency noise in the signal is eliminated, and the signal is adjusted to the applicable range of the wireless communication unit 130. The wireless communication unit 130 can transmit the signal to the external part by wireless means (such as NFC).的 信号 转 槽 210。 The signal relay unit 210.

Preferably, as shown in FIG. 6, the signal relay unit 210 includes a power module 211, a power management module 212, a signal receiving module 213, and a signal transmission module 214. These modules can be integrated on one circuit board. The signal receiving module 213 is configured to receive a signal sent by the wireless communication unit 130 and transmit the received signal to the signal transmitting module 214, preferably in a SPI or I ² C manner. After the signal transmission module 214 receives the signal, it preferably communicates with the host computer processing unit 220 through one of the communication methods of BLE, WiFi, ZigBee, 3G, and 4G to wirelessly send the signal to the host computer for processing Unit 220. Alternatively, the signal transmission module 214 may be replaced with a wired transmission module, so as to communicate with the host computer processing unit 220 in a wired communication manner.

The signal transfer unit 210 is powered by the power module 211. The power module 211 may be a 3.7V lithium battery, and different voltages required by different modules are provided by the power management module 212.

Preferably, the monitoring unit 110 is powered by the signal relay unit 210. Specifically, the energy receiving and supplying unit 140 has a first coupling coil, and the NFC signal receiving module has a second coupling coil. After the first coupling coil is coupled with the second coupling coil, the signal receiving module 213 can transmit high-frequency electromagnetic waves to the energy receiving and supplying unit 140. When the energy receiving and supplying unit 140 receives the high-frequency electromagnetic waves, the energy of the high-frequency electromagnetic waves can be converted into direct current, so that Each module in the monitoring unit 110 is powered.

Preferably, the host computer processing unit 220 may be a portable mobile terminal that is convenient for the monitored person to carry, for example, it may be a general-purpose communication terminal such as a smart phone, or other special equipment such as a computer, a recorder, and the like.

Preferably, as shown in FIG. 1, the intraocular pressure monitoring system of the present disclosure further includes a cloud processing unit 230, and the host computer processing unit 220 can communicate with the cloud processing unit 230 to analyze and process the data and / Or the unprocessed data is transmitted to the cloud processing unit 230, and the cloud processing unit 230 can reanalyze the received data by using information fusion technology, and feed back the analysis result to the host computer processing unit 220. Therefore, after receiving the feedback information from the cloud processing unit 230, the host computer processing unit 220 can provide the monitored person with timely and effective information guidance according to the content of the feedback information. For example, the cloud processing unit 230 can calculate the eye state of the monitored person in the cloud, so that the monitored person can be reminded to adjust and control the eye habits through data.

That is, when the intraocular pressure monitoring system of the present disclosure includes a cloud processing unit 230, the fusion processing and analysis of multi-sensor detection data may be completed by the host computer processing unit 220 or the cloud processing unit 230. The upper computer processing unit 220 and the cloud processing unit 230 jointly complete (that is, both of them complete a part of data processing work).

Preferably, the upper computer processing unit 220 is provided with APP software having a BLE receiving function, and has a multi-sensor information fusion function and a network layer communication function. The monitored person can control the monitoring unit 110 to collect corresponding signals through the APP software, and Choose whether to upload and upload the data to the cloud processing unit 230. After the cloud processing unit 230 calculates the corresponding data, the monitored person can also choose whether to upload and share the data according to the options of the APP software.

Preferably, as shown in FIG. 5, the internal body monitoring unit 110 includes a pressure sensor 111a, an acceleration sensor 113a, and a gyro sensor 114a, wherein the pressure sensor 111a can convert the IOP parameter of the subject into Corresponding to the electrical signal, the acceleration sensor 113a can convert the acceleration parameter of the subject's body into a corresponding electric signal, and the gyro sensor 114a can convert the angular velocity parameter of the subject into a corresponding electric signal. The energy receiving and supplying unit 140 and the signal relay unit 210 are connected in a coil coupling manner (preferably in a near field wireless communication (NFC) manner), and the signal relay unit 210 connects the power collected by the monitoring unit 110 The signal is transmitted to the host computer processing unit 220. The host computer processing unit 220 uses information fusion technology to process the signals collected by the monitoring unit 110, so that the intraocular pressure under various accelerations and angular velocities can be obtained in real time. That is, the influence of the information such as the body position and exercise state of the subject on the change of intraocular pressure. In particular, when the body position and exercise state of the monitored person have a large impact on the intraocular pressure fluctuation, for example, the monitored person has an acceleration of 0.1 to 100 m / s ² (preferably within a time period of 0.1 to 60 s (preferably 1 s)) 2m / s ² ) and an angular velocity of ± 0.1 to 1000 ° / s (preferably 100 ° / s), when the intraocular pressure fluctuation range is greater than 0.1 to 50mmHg (preferably 3mmHg), the optic nerve may be seriously damaged, and glaucoma may be induced and / or aggravated The condition, therefore, the upper computer processing unit 220 can promptly send out a prompt signal, so that the doctor can evaluate the impact of the body position and exercise state of the monitored person on the intraocular pressure, and remind the monitored person to avoid some dangerous actions that cause the intraocular pressure fluctuation range to soar. Bad habits. That is, the intraocular pressure monitoring system of the present disclosure can not only accurately monitor the intraocular pressure fluctuations of the monitored person, but also distinguish a part of the causes of the intraocular pressure fluctuations, thereby promptly reminding the monitored person to avoid certain dangerous actions and bad lives. habit.

1.4 Three pressure sensors arranged perpendicular to each other in the body

Preferably, the monitoring unit 110 may be implanted in the front room of the subject, as shown in FIG. 7, the monitoring unit 110 includes three pressure sensors 111 a, 111 b, and 111 c, and the three pressure sensors are respectively arranged in the monitoring unit 110. The three mutually perpendicular sides, that is, the measurement directions of the three pressure sensors are perpendicular to each other, and respectively face the three directions of the spatial coordinate system. Among them, each of the three pressure sensors 111a, 111b, and 111c can measure the IOP parameter of the subject in one direction and convert it into a corresponding electric signal. The monitoring unit 110 and the signal relay unit 210 is connected in a coil coupling manner (preferably in a near field wireless communication (NFC) manner), and the signal relay unit 210 transmits the electrical signal collected by the monitoring unit 110 to a host computer processing unit 220, which processes the The unit 220 uses information fusion technology to process the signals collected by the monitoring unit 110, thereby obtaining real-time IOP data in three directions of the subject, and real-time monitoring based on the IOP data in three directions Dynamic changes in IOP in three directions to assess the impact of dynamic IOP on glaucoma. For example, the IOP data in three directions at a time in space are GmmHg, HmmHg, and LmmHg, and G> H> L, which indicates that the subject is in motion at this time, and the eye of the subject can be evaluated at the same time Pressure fluctuations.

Specifically, since the actual intraocular pressure of the subject is the sum of the intraocular pressure at rest and the dynamic pressure brought about by the movement, in this embodiment, when the subject is stationary and each pressure sensor is normal, the space III The IOP data in each direction should satisfy G = H = L. In this case, if any one of the following three conditions is met, the IOP abnormality can be diagnosed:

(1) IOP exceeds a millimeter of mercury,

(2) the difference in binocular pressure is greater than b mm Hg,

(3) t1 hour intraocular pressure difference value exceeds c mm Hg;

Among them, t1 = 1 to 100, a = 3 to 80, b = 3 to 10, and c = 3 to 30.

When the subject moves, the IOP data in the three spatial directions may not be equal, that is, G ≠ H ≠ L. The IOP fluctuation caused by this may also compress the optic nerve and induce or aggravate glaucoma. In this case, if the fluctuation range of any of the intraocular pressure data in the three directions in the space within the first predetermined time t1 reaches or exceeds the first preset amount a, the intraocular pressure may be considered abnormal; and when monitored When the patient is at rest, if the IOP data in the three directions of the space are not equal, that is, G ≠ H ≠ L, it means that the pressure sensor has failed, and the monitored person must contact the doctor to recalibrate the pressure sensor in the body. It can be seen that the disclosed intraocular pressure monitoring system can not only accurately monitor the intraocular pressure fluctuations of the monitored person, but also distinguish a part of the causes of the intraocular pressure fluctuations, thereby promptly reminding the monitored person to avoid certain dangerous actions and bad living habits. .

In this embodiment, when the host computer processing unit 220 issues a prompt signal, preferably, information about the relationship between the intraocular pressure data in three directions in space can also be given at the same time. Make a judgment on whether you are in a motion state, so as to distinguish between abnormal intraocular pressure or failure of the pressure sensor.

1.5 A pressure sensor and a temperature sensor are arranged inside the body

For example, as shown in FIG. 8, the pressure sensor 111 a is used to detect intraocular pressure, and the temperature sensor 112 a is used to detect internal temperature. Therefore, when the monitoring unit 110 includes both the pressure sensor 111 a and the temperature sensor 112 a, the host computer processing unit 220 pairs The information fusion of these sensors can effectively monitor the impact of the changes in the body temperature of the subject on the intraocular pressure, for example, when the subject has a fever; on the other hand, it can also correct the temperature drift of the pressure sensor 111a, thereby improving the monitoring Precision.

The internal body monitoring unit 110 includes a pressure sensor 111a and a temperature sensor 112a, wherein the pressure sensor 111a can convert an eye pressure parameter of a subject into a corresponding electric signal, and the temperature sensor 112a can convert the subject's The temperature parameter in the body of the monitor is converted into a corresponding electric signal, and the energy receiving and supplying unit 140 and the signal relay unit 210 are connected in a coil coupling manner (preferably connected in a near field communication (NFC) manner). The signal transfer unit 210 transmits the electrical signals collected by the monitoring unit 110 to the host computer processing unit 220. The host computer processing unit 220 uses information fusion technology to process the signals collected by the monitoring unit 110, so that it can The intraocular pressure and body temperature of the subject are obtained in real time. When the internal pressure sensor 111a generates a temperature drift error as the internal temperature changes, the host computer processing unit 220 can correct the temperature drift generated by the internal pressure sensor 111a as the internal temperature changes through the internal temperature measured by the temperature sensor 112a. For example, if the temperature drift of the pressure sensor 111a is A mmHg / ° C and the internal temperature rises by B ° C, and the pressure value displayed by the pressure sensor 111a is C mmHg, the correction value of the pressure value measured by the pressure sensor 111a is ( C-AB) mmHg. After the pressure value measured by the pressure sensor 111a is corrected, it is determined whether the intraocular pressure is abnormal, so that the monitoring accuracy of the intraocular pressure monitoring system of the present disclosure can be improved.

1.6 Six pressure sensors are arranged inside the body

Preferably, as shown in FIG. 9, the monitoring unit 110 includes six pressure sensors 111 a, 111 b, 111 c, 111 d, 111 e, and 111 f, and the six pressure sensors are arranged in groups of three on the monitoring unit 110. On the vertical side, that is, the first group of pressure sensors 111a and 111b are arranged side by side on the first side of the monitoring unit 110, and the second group of pressure sensors 111c and 111d are arranged side by side on the second side of the monitoring unit 110, The third group of pressure sensors 111e and 111f are arranged side by side on the third side of the monitoring unit 110. The normal directions of these three sides respectively face the three directions of the spatial coordinate system, and the measurement directions of the three groups of pressure sensors are perpendicular to each other. To the three directions of the spatial coordinate system. Among them, each of the six pressure sensors 111a, 111b, 111c, 111d, 111e, and 111f can measure the IOP parameter of the subject in one direction and convert it into a corresponding electric signal. The monitoring unit 110 It is connected with the signal relay unit 210 in a coil coupling manner (preferably in the manner of near field communication (NFC)), and the signal relay unit 210 transmits the electrical signal collected by the monitoring unit 110 to the host computer processing unit 220 The host computer processing unit 220 uses information fusion technology to process the signals collected by the monitoring unit 110, so that the dynamic changes of intraocular pressure in three directions can be monitored in real time, so as to evaluate the impact of dynamic intraocular pressure on glaucoma. The IOP of the subject can be assessed.

Alternatively, the six pressure sensors 111a, 111b, 111c, 111d, 111e, and 111f may be respectively arranged on six different sides of the monitoring unit 110, and the normal directions of the six different sides respectively face three of the spatial coordinate system. The positive and negative directions of the coordinate axes, therefore, the measurement directions of the six pressure sensors also face the positive and negative directions of the three coordinate axes of the spatial coordinate system, respectively, so that the monitoring unit 110 can obtain the The intraocular pressure value can also evaluate the impact of dynamic intraocular pressure on glaucoma, and it can also evaluate the intraocular pressure fluctuations of the subject.

Specifically, since the actual intraocular pressure of the subject is the sum of the intraocular pressure at rest and the dynamic pressure brought by the movement, in the above two embodiments, for example, six pressure sensors 111a, 111b, and 111c at a certain time The IOP data measured by 111d, 111d, 111e, and 111f are a1mmHg, a2mmHg, b1mmHg, b2mmHg, c1mmHg, and c2mmHg, respectively. When the subject is stationary and each pressure sensor is normal, the IOP data measured by the six pressure sensors It should satisfy a1 = a2 = b1 = b2 = c1 = c2. In this case, if any one of the following three conditions is met, the intraocular pressure abnormality can be diagnosed:

(1) IOP exceeds a millimeter of mercury,

(2) the difference in binocular pressure is greater than b mm Hg,

(3) t1 hour intraocular pressure difference value exceeds c mm Hg;

Among them, t1 = 1 to 100, a = 3 to 80, b = 3 to 10, and c = 3 to 30.

If a1 = a2> b1 = b2> c1 = c2, it means that the subject is in motion at this time, and the intraocular pressure fluctuates with the movement. This fluctuation will also compress the optic nerve and induce or aggravate glaucoma. , If you meet any of the following three conditions can be diagnosed as abnormal intraocular pressure:

(1) IOP exceeds a millimeter of mercury,

(2) the difference in binocular pressure is greater than b mm Hg,

(3) t1 hour intraocular pressure difference value exceeds c mm Hg;

Among them, t1 = 1 to 100, a = 3 to 80, b = 3 to 10, and c = 3 to 30.

When the consistency of the two sets of intraocular pressure data measured by two pressure sensors in the same direction in space is not good, for example, when a certain subject is at rest, the two sets of intraocular pressure data measured by the first pressure sensors 111a and 111b A1mmHg and a2mmHg, and a1> a2, it means that there is a problem with the consistency of the first group of pressure sensors 111a and 111b at this time. The reliability of at least one of the two needs to be tested. The pressure sensor can correct the intraocular pressure data of the subject, or exclude the wrong intraocular pressure data of the subject, thereby further improving the reliability and accuracy of the intraocular pressure monitoring system. It can be seen that the disclosed intraocular pressure monitoring system can not only accurately monitor the intraocular pressure fluctuations of the monitored person, but also distinguish a part of the causes of the intraocular pressure fluctuations, thereby promptly reminding the monitored person to avoid certain dangerous actions and bad living habits. .

1.7 Three pressure sensors, one acceleration sensor and one gyroscope sensor are arranged inside the body

Preferably, as shown in FIG. 10, the monitoring unit 110 includes three pressure sensors 111a, 111b, and 111c, and the three pressure sensors are respectively arranged on three mutually perpendicular sides of the monitoring unit 110, that is, three pressures. The measurement directions of the sensors are perpendicular to each other, and respectively face the three directions of the spatial coordinate system; at the same time, the monitoring unit 110 further includes an acceleration sensor 113a and a gyro sensor 114a, wherein the acceleration sensor 113a and the gyro sensor 114a are arranged On one of the aforementioned three sides, for example, it is arranged on the same side as the pressure sensor 111a. Each pressure sensor 111a, 111b, and 111c can convert the IOP parameters of the monitored person into corresponding electric signals, the acceleration sensor 113a can convert the acceleration parameters of the monitored person's body into corresponding electric signals, and the gyro sensor 114a can convert the subject's The monitor's angular velocity parameters are converted into corresponding electrical signals. The monitoring unit 110 and the signal relay unit 210 are connected in a coil coupling manner (preferably in a near field wireless communication (NFC) manner), and the signal relay unit 210 transmits the electrical signals collected by the monitoring unit 110 to The host computer processing unit 220 uses the information fusion technology to process the signals collected by the monitoring unit 110, so that the intraocular pressure at various accelerations and angular velocities can be obtained in real time, that is, to be monitored The influence of the person's position and exercise status on the changes of intraocular pressure. It can be seen that the disclosed intraocular pressure monitoring system can not only accurately monitor the intraocular pressure fluctuations of the monitored person, but also distinguish a part of the causes of the intraocular pressure fluctuations, thereby promptly reminding the monitored person to avoid certain dangerous actions and bad living habits. .

1.8 A pressure sensor, a heart rate sensor and a blood glucose sensor are arranged in the body part

Preferably, as shown in FIG. 11, the monitoring unit 110 includes a pressure sensor 111a, a heart rate sensor 116a, and a blood glucose sensor 117a. Among them, the pressure sensor 111a can convert the IOP parameters of the subject into corresponding electrical signals, the heart rate sensor 116a can convert the heart rate parameters of the subject's body into corresponding electrical signals, and the blood glucose sensor 117a can convert the subject's blood glucose The parameters are converted into corresponding electrical signals. The monitoring unit 110 and the signal relay unit 210 are connected in a coil coupling manner (preferably in a near field wireless communication (NFC) manner), and the signal relay unit 210 transmits the electrical signals collected by the monitoring unit 110 to The host computer processing unit 220 uses the information fusion technology to process the signals collected by the monitoring unit 110, so that various heart rates and intraocular pressure under blood glucose can be obtained in real time, that is, monitored The influence of the person's position and exercise status on the changes of intraocular pressure. It can be seen that the disclosed intraocular pressure monitoring system can not only accurately monitor the intraocular pressure fluctuations of the monitored person, but also distinguish a part of the causes of the intraocular pressure fluctuations, thereby promptly reminding the monitored person to avoid certain dangerous actions and bad living habits. .

2.Multiple and multiple drainage tubes (or drainage pins)

In the intraocular pressure monitoring system of the present disclosure, the type and number of drainage tubes (or drainage nails) can be matched as required to obtain different monitoring effects. The implementation examples are as follows:

2.1 Monitoring system for real-time monitoring of intraocular pressure and intracranial pressure

In a prospective study, Wang Ningli's group found that for the first time, intracranial pressure was low in patients with normal intraocular pressure glaucoma and high in patients with ocular hypertension. Subsequently, in clinically controlled studies, animal model studies, and validation studies in natural populations, it was confirmed that the pressure difference between intraocular pressure and intracranial pressure before and after the sieve plate increased, leading to optic nerve damage in glaucoma. However, the monitoring systems in the prior art cannot simultaneously monitor intraocular pressure and intracranial pressure. Therefore, the present disclosure provides a monitoring system that can monitor intraocular pressure and intracranial pressure in real time.

The system is shown in FIG. 1 and includes an internal part 100 and an external part 200. The internal part 100 includes a monitoring unit 110, a signal conditioning unit 120, a wireless communication unit 130, and an energy receiving and supplying unit 140. The external part includes a signal relay unit. 210. Host computer processing unit 220 and cloud processing unit 230. As shown in FIG. 12, the monitoring unit 110 can be implanted in a subject (such as a glaucoma patient). The intraocular pressure monitoring module 111 and the intracranial pressure monitoring module 115 are respectively inserted into the eyeball through a drainage tube (or drainage pin) 150. The internal (preferably anterior chamber) and drainage tube (or drainage pin) 152 are inserted into the cranial cavity (preferably the ventricle), so that the intraocular pressure and intracranial pressure of the subject can be detected separately. The detection data is processed by the signal conditioning unit 120, and then sent by the wireless communication unit 130 to the signal relay unit 210. Wherein, the monitoring unit 110 includes at least one intraocular pressure monitoring module 111 and an intracranial pressure monitoring module 115, and the intraocular pressure monitoring module 111 includes at least one pressure sensor 111a; and / or, the intracranial pressure monitoring module 115 Including at least one pressure sensor 115a; the signal transfer unit 210 is configured to send data from the monitoring unit 110 to the host computer processing unit 220; the host computer processing unit 220 is configured to use information fusion technology to The detection data of different sensors are analyzed and processed, and a warning signal is issued when the processing results indicate abnormal intraocular pressure or / and intracranial pressure.

The intraocular pressure or / and intracranial pressure monitoring system of the present disclosure can accurately detect the intraocular pressure or / and intracranial pressure data of a subject through the monitoring unit 110, and the upper computer processing unit 220 performs information on multiple sensors. Fusion processing and analysis, which can improve the reliability and measurement accuracy of IOP or / and intracranial pressure monitoring, and can promptly send prompt signals when the test data indicates abnormal IOP or / and intracranial pressure The subject takes early measures to avoid damage to the optic nerve and meets the needs of glaucoma patients for real-time and convenient monitoring of the intraocular environment and / or intracranial environment.

2.2 Intraocular pressure monitoring system using two or more drainage tubes

The system shown in FIG. 1 includes an in vivo part 100 and an in vitro part 200. The in vivo part 100 includes a monitoring unit 110, a signal conditioning unit 120, a wireless communication unit 130, and an energy receiving and supplying unit 140. The in vitro part 200 includes a signal relay Unit 210, host computer processing unit 220, and cloud processing unit 230. As shown in FIG. 13, the monitoring unit 110 can be implanted in the body of a subject (such as a glaucoma patient), and the intraocular pressure monitoring module 111 is inserted into the eyeball through two or more drainage tubes 150a, 150b, 150c, etc. (Preferably the anterior chamber), so that the intraocular pressure of the subject can be detected, and the probability of the monitoring unit 110 being blocked and failing can be reduced. In addition, the detection data is processed by the signal conditioning unit 120, and then sent by the wireless communication unit 130 to the signal relay unit 210. The monitoring unit 110 includes at least one intraocular pressure monitoring module 111. The intraocular pressure monitoring module 111 includes at least one pressure sensor 111a. The signal relay unit 210 is configured to send data from the monitoring unit 110 to all monitoring units. The host computer processing unit 220 is described above; the host computer processing unit 220 is configured to analyze and process the detection data of different sensors received by using information fusion technology, and issue a warning signal when the processing result indicates that the intraocular pressure is abnormal.

The disclosed intraocular pressure monitoring system can accurately detect the intraocular pressure data of the monitored person through the combination of the monitoring unit 110 and two or more drainage tubes. When one of the drainage tubes is blocked, the other drainage tubes are also Can be drained normally to improve the working life and reliability of the intraocular pressure monitoring system.

2.3 Intraocular pressure monitoring system using two or more branch drainage tubes

The system shown in FIG. 1 includes an in vivo part 100 and an in vitro part 200. The in vivo part 100 includes a monitoring unit 110, a signal conditioning unit 120, a wireless communication unit 130, and an energy receiving and supplying unit 140. The in vitro part 200 includes a signal relay Unit 210, host computer processing unit 220, and cloud processing unit 230. As shown in FIG. 14, the monitoring unit 110 can be implanted into the body of a subject (such as a glaucoma patient). The intraocular pressure monitoring module 111 uses two or more branched drainage tubes 151 to be inserted into the eyeball (preferably the anterior chamber). ), Thereby detecting the intraocular pressure of the subject, and reducing the probability of the monitoring unit 110 being blocked and failing. In addition, the detection data is processed by the signal conditioning unit 120, and then sent by the wireless communication unit 130 to the signal relay unit 210. The monitoring unit 110 includes at least one tonometric monitoring module 111. The tonometric monitoring module 111 includes two or more pressure sensors 111a. The signal relay unit 210 is configured to transfer the signals from the monitoring unit 110. The data is sent to the host computer processing unit 220; the host computer processing unit 220 is configured to use information fusion technology to analyze and process the detection data of different sensors received, and send a prompt signal when the processing result indicates that the intraocular pressure is abnormal. .

The intraocular pressure monitoring system of the present disclosure can accurately detect the intraocular pressure data of the monitored person through the monitoring unit 110. When the drainage tube of one branch is blocked, the drainage tubes of the other branches can also drain normally to improve the intraocular pressure monitoring. The working life and reliability of the system. In addition, compared with the drainage method of an intraocular pressure monitoring system using two or more drainage tubes, this branched drainage method reduces the number of drainage tubes inserted into the anterior chamber, thereby reducing the damage.

In particular, multiple sensors in the intraocular pressure monitoring system can be composed of a single sensor installed one by one, or can be made into a chip (device) by integrated manufacturing to reduce volume and improve reliability.

On the basis of the above work, the second aspect of the present disclosure provides an intraocular pressure monitoring method, which employs the intraocular pressure monitoring system described earlier in the present disclosure, and is preferably as shown in FIG. 15 and includes steps:

S10. The body part monitors the intraocular pressure of the subject and converts the pressure signal into an electrical signal;

S20. The in vivo part sends monitoring data to the signal relay unit 210;

S30. The signal relay unit 210 sends data from the monitoring unit 110 to the host computer processing unit 220.

S40. The host computer processing unit 220 uses information fusion technology to analyze and process the received data;

S50. The host computer processing unit 220 comprehensively determines whether the intraocular pressure is abnormal based on data from two or more pressure sensors, and sends a prompt signal when it is determined that the intraocular pressure is abnormal.

Preferably, the plurality of sets of intraocular pressure data detected by the two or more pressure sensors in the monitoring unit are used to judge the reliability of the in-vivo sensor according to the error analysis theory. When an abnormality occurs, the monitored person needs to contact the doctor in time to calibrate the body. Pressure sensor, which can correct the IOP data of the monitored person, or exclude the IOP data of the monitored person; in this embodiment, preferably, two or more pressures in the monitoring unit 110 The average value of the intraocular pressure data detected by the sensor is M mmHg. If the difference between the intraocular pressure data n detected by any pressure sensor in the monitoring unit 110 and the average value M is greater than d mm Hg, where d is a preset deviation value, Preferably d≥0.1, it means that the reliability of the pressure sensor in the body needs to be tested at this time. The monitored person needs to contact the doctor in time to calibrate the pressure sensor in the body, so that the IOP data of the monitored person can be corrected, or the monitored person's Incorrect intraocular pressure data; d <0.1, it means that the in-vivo sensor can work normally, and the intraocular pressure is the average of the pressure data;

Preferably, multiple sets of intraocular pressure data detected by two or more pressure sensors in the monitoring unit are used to improve the measurement accuracy of the internal pressure sensor according to a multi-sensor weighted fusion algorithm, and may be determined according to the measurement variance of each pressure sensor. The weighting coefficient of each pressure sensor is finally fused with intraocular pressure data. In this embodiment, preferably, the measurement equation expression of the monitoring unit 110 is:

y = H · x + e

In the formula, x is the state quantity to be measured, Y = [y ₁ y ₂ y ₃ ··· y _n ] ^T is an n-dimensional measurement vector, and e = [e ₁ e ₂ e ₃ ··· e _n ] ^T is n Dimensional measurement noise vector, where e _i are independent and satisfy

Where i = 1,2, ..., n;

Is the variance of each signal source; H is a known n × 1-dimensional measurement matrix, H = [1 ... 1] ^T.

Under the principle of linear minimum variance estimation, the weighted fusion estimation value is:

The weighting coefficient calculation formula is:

The weighted fusion error is the mean square error, and the specific form is as follows:

According to the above formula, an important conclusion of weighted fusion can be obtained: the sensor with the worst accuracy can participate in weighted fusion to improve the accuracy of the fusion result. In addition, the weighted fusion accuracy actually depends on the accuracy of the sensor measurement noise variance estimation.

In this embodiment, preferably, the measurement results of the intraocular pressure data detected by the two pressure sensors 111a and 111b used in the monitoring unit 110 are M mmHg and N mmHg, respectively, which can be determined by the measurement variance of the two pressure sensors. Given that their corresponding weighting coefficients are K and L, the IOP data can be fused as

Preferably, the multiple sets of intraocular pressure data detected by two or more pressure sensors in the monitoring unit are used to improve the measurement accuracy of the internal pressure sensor according to the multi-sensor estimation fusion algorithm, and corresponding responses can be established according to the measurement data of each sensor , An iterative model, taking the weighted average of the estimated value and the actual measurement value calculated by the model, and finally fused the intraocular pressure data; in this embodiment, preferably, the two pressures used in the monitoring unit 110 The measurement results of the intraocular pressure data detected by the sensors 111a and 111b are M mmHg and N mmHg, respectively. The model x (a) can be obtained from the data before the pressure sensor 111a, and the estimated value P can be obtained from the model x (a). mmHg, the model y (b) can be obtained from the data before the pressure sensor 111b, the estimated value Q mmHg can be obtained from the model y (b), and the weighting coefficient of the pressure sensor 111a model can be determined from the test variance of the pressure sensor model Is K, and the weighting coefficient of the pressure sensor 111b model is L, then the intraocular pressure data can be fused as

Preferably, multiple sets of intraocular pressure data detected by two or more pressure sensors in the monitoring unit are used to improve the measurement accuracy of the in-vivo pressure sensor according to a machine learning method. Two or two of the monitoring units The multiple groups of intraocular pressure data detected by the above pressure sensor can choose a model structure (preferably linear regression, logistic regression, Bayesian model, decision tree), and then use the training data to enter the model, and then analyze the optimal model through the learning algorithm Structure, taking the weighted average of the estimated value and the actual measurement value calculated by the optimal model structure, and finally merging the intraocular pressure data; in this embodiment, preferably, the two pressure sensors used in the monitoring unit 110 The measurement results of the intraocular pressure data detected by 111a and 111b are M mmHg and N mmHg, respectively, wherein the pressure sensor 111a selects an existing model structure (preferably linear regression, logistic regression, Bayesian model, decision tree, etc.) Then, use the previous test data to enter the model, and then analyze the optimal model structure x (a) through the learning algorithm. The estimated value P mmHg can be obtained from the model x (a) Similarly, the pressure sensor 111b selects a model structure (preferably linear regression, logistic regression, Bayesian model, decision tree, etc.), and then uses the previous test data to enter the model, and then analyzes the optimal model structure y by the learning algorithm ( b), the estimated value Q mmHg can be obtained from the model y (b), and the weighting coefficient of the pressure sensor 111a model can be determined from the test variance of the pressure sensor model is K, and the weighting coefficient of the pressure sensor 111b model is L, then the intraocular pressure Data can be fused into

Preferably, in step S50, the host computer processing unit 220 determines the fluctuation of the intraocular pressure, and can diagnose the abnormal intraocular pressure when one of the following three conditions is met:

(1) IOP exceeds a millimeter of mercury,

(2) the difference in binocular pressure is greater than b mm Hg,

(3) t1 hour intraocular pressure difference exceeds c mmHg.

In this embodiment, preferably, t1 = 1 to 100, and / or, a = 3 to 80, and / or, b = 3 to 10, and / or, c = 3 to 30. That is, within a predetermined time, for example, within any one hour or 24 hours, if the upper computer processing unit 220 determines that the fluctuation range of the intraocular pressure reaches 8 mmHg, the intraocular pressure may be considered abnormal and an alert signal is immediately issued. Therefore, after being monitored, the monitored person can take corresponding measures to avoid further deterioration of the adverse situation.

Preferably, the monitoring unit 110 or the signal relay unit 210 includes at least one acceleration sensor 113a and / or at least one gyro sensor 114a. For example, as shown in FIG. 5, the monitoring unit 110 includes a pressure sensor 111a, One acceleration sensor 113a and one gyro sensor 114a. In this case, in step S50, the host computer processing unit 220 judges the effect of acceleration and / or angular velocity on the intraocular pressure through a comprehensive algorithm based on the data of the two or more pressure sensors and comprehensively processes the results. When the fluctuation of the pressure with acceleration and / or angular velocity exceeds a predetermined limit, a warning signal is issued.

Preferably, the monitoring unit 110 includes at least one pressure sensor 111 a and at least one temperature sensor 112 a, for example, as shown in FIG. 8. In this situation:

In step S10, the monitoring unit 110 further detects the body temperature of the subject, and converts the temperature signal into an electrical signal;

In step S50, before determining whether the intraocular pressure is abnormal, the host computer processing unit 220 first corrects the temperature drift of the pressure sensor 111a due to the internal temperature change, obtains the corrected pressure value, and then performs the correction according to the correction. The pressure value determines whether the intraocular pressure is abnormal. For example, when the subject has a fever, the temperature drift of the pressure sensor 111a is A mmHg / ° C, and the body temperature rises B ° C. At this time, the pressure value displayed by the pressure sensor 111a in the body is C mmHg, and the pressure sensor 111a in the body measures The correction value of the obtained pressure value is (C-AB) mmHg.

After the pressure value measured by the pressure sensor 111a is corrected, it is determined whether the intraocular pressure is abnormal, so that the monitoring accuracy of the intraocular pressure monitoring method of the present disclosure is improved.

Preferably, as shown in FIG. 3, the monitoring unit 110 includes two pressure sensors 111 a arranged side by side. In this situation:

In step S10, the monitoring unit 110 uses the two pressure sensors 111a to detect the intraocular pressure of the subject independently, and converts the pressure signal into an electrical signal to obtain two sets of intraocular pressure data;

In step S40, the host computer processing unit 220 uses information fusion technology to analyze and process the received data and determine the consistency of the two groups of tonometer data, for example, to calculate whether | E-F |> d mmHg is established;

In step S50, when | EF |> d mmHg is established, the host computer processing unit 220 may send a signal indicating that the intraocular pressure data is inconsistent; when | EF |> d mmmm is not established, the host computer processing unit 220 judges the eye If the pressure is abnormal, a warning signal is issued when it is confirmed that the intraocular pressure is abnormal.

Preferably, the intraocular pressure monitoring system includes a cloud processing unit 230; as shown in FIG. 16, step S50 further includes steps:

S510. The host computer processing unit 220 transmits the processed data and / or unprocessed data to the cloud processing unit 230.

S520. The cloud processing unit 230 uses information fusion technology to re-analyze the received data, and feeds back the analysis result to the host computer processing unit 220.

S530. The host computer processing unit 220 determines whether the intraocular pressure is abnormal according to the received feedback information, and sends a prompt signal when it is determined that the intraocular pressure is abnormal.

Utilizing the powerful computing capabilities of the cloud processing unit 230, more data can be analyzed, processed, and queried, thereby improving the comprehensiveness and accuracy of the analysis results.

Those skilled in the art can easily understand that, under the premise of no conflict, the foregoing preferred solutions can be freely combined and superimposed.

It should be understood that the above-mentioned implementations are merely exemplary and not restrictive, and various obvious or equivalent things that can be made by those skilled in the art with respect to the above details can be made without departing from the basic principles of the present disclosure. Modifications or replacements are all included in the scope of claims of the present disclosure.

Claims (15)

1. An intraocular pressure monitoring system is characterized in that it includes an internal part and an external part, the internal part is used for real-time monitoring of intraocular parameters, signal conditioning, sending and receiving signals; and the external part is used for wirelessly performing internal part Supply energy, and receive, fuse and process data transmitted from the body;

   Wherein, the body part includes at least one monitoring unit, and the monitoring unit includes at least two sensors, and the sensors are used for monitoring the intraocular pressure parameter;

   The in vitro part includes at least one multi-sensor information fusion module, which analyzes and processes the received data through information fusion technology.
2. The intraocular pressure monitoring system according to claim 1, wherein:

   The monitoring unit includes at least one pressure sensor for monitoring intraocular pressure.
3. The intraocular pressure monitoring system according to claim 2, wherein:

   The monitoring unit further includes at least one drainage tube, and the drainage tube is connected to at least one pressure sensor in the monitoring unit;

   The drainage tube is used to be inserted into the eyeball, so as to drain the aqueous humor to the monitoring unit.
4. The intraocular pressure monitoring system according to claim 1, wherein:

   The extracorporeal portion includes at least one sensor.
5. The intraocular pressure monitoring system according to claim 4, wherein:

   The extracorporeal portion includes at least one pressure sensor for monitoring atmospheric pressure;

   And / or, the extracorporeal part includes at least one acceleration sensor and / or at least one gyroscope sensor for measuring and / or monitoring the acceleration and / or angular velocity of the body of the subject, so that the intraocular pressure monitoring system can pass the monitoring The acceleration and / or angular velocity and / or posture of the subject's body improves the accuracy of the intraocular pressure measurement;

   And / or, the extracorporeal portion includes at least one temperature sensor for measuring and / or monitoring the temperature of the subject and / or the environment, so that the intraocular pressure monitoring system can consider or exclude the impact of temperature changes on the intraocular pressure monitoring .
6. The intraocular pressure monitoring system according to claim 2, wherein:

   The monitoring unit includes at least one acceleration sensor and / or at least one gyroscope sensor, which is used to monitor the acceleration and / or angular velocity of the subject's head, so that the intraocular pressure monitoring system can monitor the acceleration and / or angular velocity against intraocular pressure. Impact;

   And / or, the monitoring unit includes at least one temperature sensor, which is used to monitor the body temperature of the subject, so that the intraocular pressure monitoring system can monitor the impact of changes in body temperature on intraocular pressure.
7. The intraocular pressure monitoring system according to any one of claims 1-6, wherein:

   The external part includes a signal relay unit and a host computer processing unit, and the signal relay unit is configured to receive parameter data transmitted by the internal body and relay the received data to the host computer processing unit, the at least one The multi-sensor information fusion module is arranged in the host computer processing unit.
8. The intraocular pressure monitoring system according to claim 7, wherein:

   The external part further includes a cloud processing unit, which can communicate with the host computer processing unit in order to receive and store parameter data from the host computer processing unit, and can use multi-sensor information fusion technology to The received data is re-analyzed, and the analysis result is fed back to the host computer processing unit.
9. The intraocular pressure monitoring system according to claim 7 or 8, wherein:

   The signal relay unit is adapted to be worn on the head, chest, torso and / or limbs of the subject.
10. An intraocular pressure monitoring method, characterized in that the intraocular pressure monitoring system according to any one of claims 1-9 is used, and an external part of the intraocular pressure monitoring system comprises a signal relay unit and a host computer processing unit; The IOP monitoring method includes the steps:

    S10. The body part monitors the intraocular pressure of the subject and converts the pressure signal into an electrical signal;

    S20. The in vivo part sends monitoring data to the signal relay unit;

    S30. The signal relay unit sends data from the internal body part to the host computer processing unit;

    S40. The host computer processing unit uses information fusion technology to analyze and process the received data;

    S50. The host computer processing unit judges whether the intraocular pressure is abnormal according to the processing result, and provides the intraocular pressure information when the intraocular pressure is normal, and issues a prompt signal when confirming that the intraocular pressure is abnormal.
11. The method for monitoring intraocular pressure according to claim 10, wherein the monitoring unit includes at least two pressure sensors; in step S50, the host computer processing unit passes the data of two or more pressure sensors through The data fusion algorithm comprehensively judges the situation and data of intraocular pressure.
12. The method for monitoring intraocular pressure according to claim 11, characterized in that, in step S50, the host computer processing unit judges the condition of the intraocular pressure, and can be diagnosed as an eye when any one of the following three conditions is met: Pressure abnormality:

    (1) IOP exceeds a millimeter of mercury,

    (2) the difference in binocular pressure is greater than b mm Hg,

    (3) The difference in intraocular pressure in t1 hour exceeds c mmHg,

    Among them, t1 = 1 to 100, a = 3 to 80, b = 3 to 10, and c = 3 to 30.
13. The method for monitoring intraocular pressure according to any one of claims 10-12, wherein the monitoring unit or the signal relay unit includes at least one acceleration sensor and / or at least one gyro sensor; in step S50, all The host computer processing unit corrects or compensates the measurement result of the intraocular pressure according to the measurement result of the acceleration and / or angular velocity sensor, and sends a prompt signal when it is confirmed that the fluctuation of the intraocular pressure with the acceleration and / or angular velocity exceeds a predetermined limit.
14. The method for monitoring intraocular pressure according to any one of claims 10-12, wherein the monitoring unit includes at least one pressure sensor and at least one temperature sensor;

    In step S10, the monitoring unit also monitors the body temperature of the subject and converts the temperature signal into an electrical signal;

    In step S50, the host computer processing unit first corrects the temperature drift generated by the pressure sensor with changes in the body temperature, obtains the corrected pressure value, and then determines whether the intraocular pressure is abnormal according to the corrected pressure value.
15. The method for monitoring intraocular pressure according to any one of claims 10 to 14, wherein the intraocular pressure monitoring system includes a cloud processing unit; step S50 includes the steps:

    S510. The host computer processing unit transmits the processed and / or unprocessed data to the cloud processing unit;

    S520. The cloud processing unit uses information fusion technology to reanalyze the received data, and feeds back the analysis result to the host computer processing unit;

    S530. The host computer processing unit determines whether the intraocular pressure is abnormal according to the received feedback information, and sends a prompt signal when it is determined that the intraocular pressure is abnormal.

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