Insulin distribution system based on artificial intelligence

Abstract

The invention provides an insulin distribution system based on artificial intelligence, and belongs to the field of medicine distribution systems. The invention provides an insulin distribution system based on artificial intelligence, which comprises a sensor module, a data analysis module, a medicine distribution device and a conveying device, and is characterized in that the output end of the sensor module is connected with the input end of the data analysis module, and the output end of the data analysis module is connected with the input end of the medicine distribution device; the drug dispensing device is connected to the delivery device. The sensor module inputs blood glucose index data of a patient to the data analysis module, and the data analysis module outputs an insulin dosage distribution instruction to the medicine distribution device. According to the invention, the timeliness and effectiveness of blood glucose management are improved, and the accuracy of insulin dose distribution is improved, so that the treatment effect is improved, the side effect is reduced, and meanwhile, the life quality of a patient is improved.

Description

Technical Field

[0001] The present invention belongs to the field of drug dispensing systems, and in particular, the present invention relates to an insulin dispensing system based on artificial intelligence. Background Art

[0002] In the modern medical field, drug therapy is an important means of chronic disease management. However, the traditional method of adjusting drug dosage mainly relies on the clinical experience of doctors and the regular health check-ups of patients. This method has significant limitations, especially when dealing with diabetes that requires long-term monitoring and management. It lacks real-time and personalized adjustments, and often fails to achieve the best treatment effect.

[0003] The insulin dosage of diabetic patients needs to be adjusted according to the patient's real-time blood sugar level. If the insulin dosage cannot be adjusted accurately and timely, it may cause excessive fluctuations in blood sugar levels and increase the risk of complications. Chinese Patent 214911739U discloses a reciprocating infusion propulsion mechanism, including a medicine reservoir, an integrated piston and a reduction motor; the integrated piston includes a rubber plug, a threaded tube and a threaded tube center column, the rubber plug is fixed to the threaded tube center column, and the rubber plug is in close contact with the inner wall of the medicine reservoir; the medicine reservoir and the threaded tube are both provided with matching threads, and the medicine reservoir is installed on the threaded tube through threads; the reduction motor is installed on one side of the threaded tube, and a spiral rod is installed on the motor shaft of the reduction motor; the threaded tube center column is hollow inside, and the rotating rod is installed in the threaded tube center column.

[0004] This patent provides a propulsion mechanism that can push liquid through a motor, but it fails to cooperate with other devices to achieve the purpose of automatic injection according to user needs. Summary of the invention

[0005] The present invention aims to provide an insulin dispensing system based on artificial intelligence to achieve the technical purpose of automatically injecting insulin according to the patient's blood sugar index data and improving the treatment effect.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is:

[0007] The present invention provides an insulin dispensing system based on artificial intelligence, comprising a sensor module, a data analysis module, a drug dispensing device and a conveying device, wherein the output end of the sensor module is connected to the input end of the data analysis module, the output end of the data analysis module is connected to the input end of the drug dispensing device, and the drug dispensing device is connected to the conveying device.

[0008] The sensor module inputs the patient's blood sugar index data to the data analysis module, and the data analysis module outputs insulin dosage dispensing instructions to the drug dispensing device.

[0009] The sensor module adopts a blood glucose monitor, and the blood glucose monitor is connected to the data analysis module via Bluetooth.

[0010] The drug dispensing device comprises a liquid reservoir (1), an integrated piston (2) and a reduction motor (3); the integrated piston (2) comprises a rubber plug (2.1), a threaded tube (2.2) and a threaded tube center column (2.3); the rubber plug (2.1) is fixed to the threaded tube center column (2.3), and the rubber plug (2.1) is in close contact with the inner wall of the liquid reservoir (1); the liquid reservoir (1) and the threaded tube (2.2) are both provided with mutually matching threads, and the liquid reservoir (1) is installed on the threaded tube (2.2) through the threads. The reduction motor (3) is mounted on one side of the threaded tube (2.2), and a rotating rod (6) is mounted on the motor shaft of the reduction motor (3); the interior of the threaded tube center column (2.3) is hollow, and the rotating rod (6) is mounted on the threaded tube center column (2.3) and is clearance-fitted; a waterproof housing (5) is provided on the periphery of the reduction motor (3), a bearing (5) is provided on the waterproof housing (5), and the motor shaft of the reduction motor (3) is mounted on one end of the bearing (5), and the rotating rod (6) is mounted on the other end of the bearing (5).

[0011] The delivery device comprises a catheter (7), a fixing patch (8) and a needle (9); the catheter (7) is connected to the needle (9), and the fixing patch (8) is arranged at the connection between the catheter and the needle.

[0012] The liquid reservoir (1) is connected to a catheter (7).

[0013] The data analysis module is connected to the display module via Bluetooth, and the display module includes a wireless communication device, a touch display screen and a speaker.

[0014] The wireless communication device is connected to the touch display screen and the speaker respectively.

[0015] The technical effects of the present invention are:

[0016] (1) The present invention improves the real-time management of blood sugar in patients. Traditional blood sugar control methods rely on regular physical examinations and doctors' experience, and cannot achieve real-time adjustment of insulin dosage, which may lead to overdose or underdose of drugs. The present invention can collect blood sugar index data of patients in real time and transmit the data to the data analysis module in real time via Bluetooth, ensuring the timeliness and effectiveness of blood sugar management.

[0017] (2) The present invention improves the accuracy of insulin dosage distribution. It uses a machine learning model to conduct deep learning and prediction of the patient's health data, generate insulin dosage adjustment suggestions, and ensure accurate adjustment of insulin dosage, thereby improving the treatment effect and reducing side effects.

[0018] (3) The present invention improves the automation level of insulin management. By integrating a drug dispensing device and a data analysis module, full automation of insulin dispensing is achieved. The drug dispensing device automatically adjusts and dispenses insulin dosage according to the adjustment suggestions generated by the data analysis module, thereby reducing human intervention and operational risks and improving the efficiency and safety of insulin management.

[0019] (4) The present invention improves the quality of life of patients, and automated drug management reduces the burden on patients and improves the effectiveness of treatment. The system's alarm reminder function can promptly remind doctors and patients when abnormal blood sugar indicators are detected, eliminating the need for medical staff to frequently check patients' physiological indicators, thus reducing the time for health checks for patients. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] This specification includes the following drawings, which show the following contents:

[0021] Figure 1 The following is a logical structure diagram of an insulin dispensing system based on artificial intelligence according to the present invention;

[0022] Figure 2 A structural diagram of a drug dispensing device and a delivery device of an artificial intelligence-based insulin dispensing system of the present invention;

[0023] Figure 1 Marked as: 1. sensor module; 2. data analysis module; 3. drug dispensing device; 4. delivery device; 5. display module. DETAILED DESCRIPTION

[0024] The specific implementation methods of the present invention are further explained in detail below by describing the embodiments with reference to the accompanying drawings, with the aim of helping those skilled in the art to have a more complete, accurate and in-depth understanding of the concept and technical solution of the present invention and facilitating its implementation.

[0025] The present invention provides an insulin dispensing system based on artificial intelligence, comprising a sensor module 1, a data analysis module 2, a drug dispensing device 3 and a conveying device 4, wherein the output end of the sensor module 1 is connected to the input end of the data analysis module 2, the output end of the data analysis module 2 is connected to the input end of the drug dispensing device 3, and the drug dispensing device 3 is connected to the conveying device 4.

[0026] The sensor module 1 inputs the patient's blood sugar index data to the data analysis module 2 , and the data analysis module 2 outputs an insulin dosage dispensing instruction to the drug dispensing device 3 .

[0027] The sensor module 1 adopts a blood glucose monitor, which is connected to the data analysis module 2 via Bluetooth.

[0028] The drug dispensing device 3 comprises a liquid reservoir (1), an integrated piston (2) and a reduction motor (3); the integrated piston (2) comprises a rubber plug (2.1), a threaded tube (2.2) and a threaded tube center column (2.3); the rubber plug (2.1) is fixed to the threaded tube center column (2.3), and the rubber plug (2.1) is in close contact with the inner wall of the liquid reservoir (1); the liquid reservoir (1) and the threaded tube (2.2) are both provided with mutually matching threads, and the liquid reservoir (1) is installed on the threaded tube (2.2) through the threads. The reduction motor (3) is mounted on one side of the threaded tube (2.2), and a rotating rod (6) is mounted on the motor shaft of the reduction motor (3); the interior of the threaded tube center column (2.3) is hollow, and the rotating rod (6) is mounted on the threaded tube center column (2.3) and is clearance-matched; a waterproof housing (5) is arranged on the periphery of the reduction motor (3), a bearing (5) is arranged on the waterproof housing (5), and the motor shaft of the reduction motor (3) is mounted on one end of the bearing (5), and the rotating rod (6) is mounted on the other end of the bearing (5).

[0029] The delivery device 4 comprises a catheter (7), a fixing patch (8) and a needle (9), wherein the catheter (7) is connected to the needle (9), and the fixing patch (8) is arranged at the connection between the catheter and the needle. The liquid reservoir (1) is connected to the catheter (7).

[0030] The data analysis module 2 is connected to the display module 5 via Bluetooth, and the display module 5 includes a wireless communication device, a touch screen and a speaker. The wireless communication device is connected to the touch screen and the speaker respectively.

[0031] The present invention is described in detail below. The present invention comprises a sensor module 1, a data analysis module 2, a drug dispensing device 3 and a delivery device 4. The sensor module 1 adopts a blood glucose monitor for real-time monitoring of the patient's blood glucose index; the blood glucose monitor improves the real-time nature of the patient's blood glucose management. The traditional blood glucose control method relies on regular physical examinations and the doctor's experience, and cannot achieve real-time adjustment of insulin dosage, which may lead to excessive or insufficient drugs. However, the present invention can collect the patient's blood glucose index data in real time and transmit the data to the data analysis module 2 in real time via Bluetooth, thereby ensuring the timeliness and effectiveness of blood glucose management. The data analysis module 2 adopts a system-on-chip (SOC) for calculating the amount of insulin to be distributed; the drug dispensing device 3 is used to push the drug in the reservoir (1); the delivery device 4 comprises a catheter (7), a fixing patch (8) and a needle (9). The catheter receives the insulin in the reservoir (1) and acts as a pipeline to inject the insulin into the patient's body through the needle (9). The fixing patch (8) is used to fix the needle (9) on the human skin. The display module 5 includes a wireless communication device, a touch screen and a speaker. The display module 5 is used to receive the patient's blood sugar information and insulin delivery information transmitted by the data analysis module 2. When the patient's blood sugar level is abnormal, the data analysis module 2 connects to the wireless communication device via Bluetooth and sends a control instruction to control the speaker to sound an alarm; the touch screen in the display module 5 communicates with the data analysis module 2 via the wireless communication device and controls the amount of insulin delivered.

[0032] The blood glucose monitor is connected to the data analysis module 2 via Bluetooth, and the monitored patient blood glucose index data is input into the data analysis module 2; the reduction motor (3) is connected to the data analysis module 2 via a wire, and the data analysis module 2 controls the movement of the integrated piston (2) by controlling the reduction motor (3) to squeeze the insulin in the reservoir (1); one end of the reservoir (1) is connected to the integrated piston (2), and the other end is connected to the catheter (7); the other end of the catheter is connected to the needle (9); the data analysis module 2 is connected to the display module 5 via Bluetooth, specifically, the data analysis module 2 is connected to the wireless communication device via Bluetooth, and the wireless communication device is respectively connected to the touch display screen and the speaker. The wireless communication device can sound an alarm when the patient's blood glucose is abnormal, thereby improving safety.

[0033] The workflow of the present invention is described in detail below: The blood glucose monitor continuously monitors the patient's blood glucose level and transmits the patient's blood glucose index data to the data analysis module 2 via Bluetooth. The frequency of blood glucose monitoring in the present invention is once every five minutes. The data analysis module 2 uses a machine learning model to process blood glucose data and generate insulin dosage distribution data, thereby improving the accuracy of insulin dosage distribution. The machine learning model is used to perform deep learning and prediction of the patient's health data, generate insulin dosage adjustment suggestions, and ensure accurate adjustment of insulin dosage, thereby improving the treatment effect and reducing side effects.

[0034] Insulin dose allocation can be based on the following formula:

[0035] D=f(G)=αG t +βG t-1 +γG t-2

[0036] Where D represents the insulin dosage distribution data, G t , G t-1 , G t-2 Respectively represent the current and the previous two blood sugar indexes, α, β, γ are weight coefficients of the three blood sugar indexes on the insulin dosage distribution data, and the weight coefficients are determined by the machine learning model trained by the historical data and the machine learning algorithm, and the historical data are the historical blood sugar index data and the insulin distribution data. The drug distribution device 3 adjusts the insulin dosage according to the insulin dosage distribution instruction input by the data analysis module 2, and injects the patient. Specifically, the data analysis module 2 outputs a control instruction to the reduction motor (3), and the reduction motor (3) controls the integrated piston (2) to move and squeeze the insulin in the reservoir (1), and the insulin is delivered to the patient through the catheter (7) connected to the reservoir (1) and the needle (9) connected to the catheter (7). The data analysis module 2 is connected to the display module 5 via Bluetooth, and the patient's blood sugar index data and insulin dosage distribution data are input. The user understands the patient's blood sugar index data and insulin dosage distribution data through the touch display screen. At the same time, when the patient's blood sugar index data is abnormal, the data analysis module 2 is connected to the wireless communication device via Bluetooth, and the wireless communication device outputs a control instruction to control the speaker to sound an alarm.

[0037] The present invention improves the automation level of insulin management. By integrating the drug dispensing device 3 and the data analysis module 2, the full automation of insulin distribution is realized. The drug dispensing device 3 automatically adjusts and distributes the insulin dosage according to the adjustment suggestions generated by the data analysis module 2, which reduces human intervention and operation risks and improves the efficiency and safety of insulin management. At the same time, it also improves the quality of life of patients. Automated drug management reduces the burden on patients and improves the effect of treatment. The alarm reminder function of the system can promptly remind doctors and patients when abnormal blood sugar indicators of patients are detected. Medical staff do not need to frequently check the physiological indicators of patients, which reduces the time of health examinations for patients.

[0038] The present invention is described above by way of example in conjunction with the accompanying drawings. Obviously, the specific implementation of the present invention is not limited to the above-mentioned methods. As long as various non-substantial improvements are made using the method concept and technical solution of the present invention; or the above concept and technical solution of the present invention are directly applied to other occasions without improvement, they are all within the protection scope of the present invention.

Claims

1. An insulin dispensing system based on artificial intelligence, characterized in that: It includes a sensor module, a data analysis module, a drug dispensing device and a conveying device. The output end of the sensor module is connected to the input end of the data analysis module, the output end of the data analysis module is connected to the input end of the drug dispensing device, and the drug dispensing device is connected to the conveying device.

2. An artificial intelligence-based insulin dispensing system as claimed in claim 1, characterized in that: The sensor module inputs the patient's blood sugar index data to the data analysis module, and the data analysis module outputs insulin dosage dispensing instructions to the drug dispensing device.

3. An artificial intelligence-based insulin dispensing system as claimed in claim 1, characterized in that: The sensor module adopts a blood glucose monitor, and the blood glucose monitor is connected to the data analysis module via Bluetooth.

4. An artificial intelligence-based insulin dispensing system as claimed in claim 1, characterized in that: The drug dispensing device comprises a liquid reservoir (1), an integrated piston (2) and a reduction motor (3); the integrated piston (2) comprises a rubber plug (2.1), a threaded tube (2.2) and a threaded tube center column (2.3); the rubber plug (2.1) is fixed to the threaded tube center column (2.3), and the rubber plug (2.1) is in close contact with the inner wall of the liquid reservoir (1); the liquid reservoir (1) and the threaded tube (2.2) are both provided with mutually matching threads, and the liquid reservoir (1) is installed on the threaded tube (2.2) through the threads. The reduction motor (3) is mounted on one side of the threaded tube (2.2), and a rotating rod (6) is mounted on the motor shaft of the reduction motor (3); the interior of the threaded tube center column (2.3) is hollow, and the rotating rod (6) is mounted on the threaded tube center column (2.3) and is clearance-fitted; a waterproof housing (5) is provided on the periphery of the reduction motor (3), a bearing (5) is provided on the waterproof housing (5), and the motor shaft of the reduction motor (3) is mounted on one end of the bearing (5), and the rotating rod (6) is mounted on the other end of the bearing (5).

5. The artificial intelligence-based insulin dispensing system according to claim 1, characterized in that: The delivery device comprises a catheter (7), a fixing patch (8) and a needle (9); the catheter (7) is connected to the needle (9), and the fixing patch (8) is arranged at the connection between the catheter and the needle.

6. An artificial intelligence-based insulin dispensing system as claimed in claim 4 or 5, characterized in that: The liquid reservoir (1) is connected to a catheter (7).

7. An artificial intelligence-based insulin dispensing system as claimed in claim 1, characterized in that: The data analysis module is connected to the display module via Bluetooth, and the display module includes a wireless communication device, a touch display screen and a speaker.

8. An artificial intelligence-based insulin dispensing system as claimed in claim 7, characterized in that: The wireless communication device is connected to the touch display screen and the speaker respectively.

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