Hospital automatic drug delivery system with controllable drug concentration

Abstract

The invention discloses a hospital automatic drug delivery system with controllable drug concentration, comprising: a drug delivery device for delivering drugs into the body of a patient; the concentration sensor is used for monitoring the concentration index of the medicine in the body of the patient in real time; the control unit is used for receiving the signal from the drug release calculation module and controlling the conveying rate of the drug delivery device according to a set drug concentration range; the medicine release calculation module is used for calculating the release amount and the delivery rate of the medicine according to the preset value and the medicine concentration obtained by the feedback module, and generating a control instruction; and the feedback module is used for calculating the drug concentration according to the measurement result of the concentration sensor. By controlling the concentration of the drug in the target area in the drug delivery process, it is guaranteed that the drug can be stably released and delivered to the target area under the preset concentration.

Description

Technical Field

[0001] The present invention relates to the field of automation technology, and in particular to an automated drug delivery system for hospitals with controllable drug concentration. Background Art

[0002] In recent years, researchers have begun exploring biomimetic drug delivery systems, with nano-bionic drug delivery systems based on cells or their derivatives currently being a hot topic. These systems leverage the natural homotypic or heterotypic adhesion properties of cells, modifying them physically or chemically to allow drug entry or surface loading, creating actively targeted drug delivery vehicles. These vehicles can exhibit high drug loading capacity and controlled release properties; possess excellent biocompatibility, low immunogenicity, and natural targeting; and can integrate with the flexible morphology of living cells. While reducing the likelihood of drug attack by the immune system, they also enhance the efficiency of drug accumulation and action in tissues, as well as their ability to target tumors.

[0003] In the medical field, drugs can be injected into patients to reach the affected area and achieve therapeutic effects. However, in practice, there is a lack of control over the drug injection, resulting in poor treatment results. Furthermore, the control process suffers from large fluctuations, low stability, and low precision, making automated control impossible. Summary of the Invention

[0004] In order to solve the above problems, the present invention provides an automated drug delivery system for hospitals with controllable drug concentration.

[0005] The specific technical solutions of the present invention are:

[0006] An automated drug delivery system for hospitals with controlled drug concentration, including:

[0007] a drug delivery device for delivering a drug into a patient's body;

[0008] Concentration sensor, used to monitor the concentration of drugs in patients in real time;

[0009] a control unit, configured to receive a signal from the drug release calculation module and control a delivery rate of the drug delivery device according to a set drug concentration range;

[0010] The drug release calculation module is used to calculate the drug release amount and delivery rate through the preset value and the drug concentration obtained by the feedback module, and generate control instructions;

[0011] The feedback module is used to calculate the drug concentration based on the measurement results of the concentration sensor.

[0012] Furthermore, the drug delivery device comprises:

[0013] a supporting structure for supporting the entire drug delivery device;

[0014] a medication storage container for storing medication for delivery to a patient in a predetermined dose;

[0015] a drug release device in communication with the drug reservoir for controlling the delivery rate of the drug;

[0016] a delivery tube for delivering medication from a medication storage container to a patient;

[0017] Interface device: connects to the patient's body, usually including an injection needle or catheter;

[0018] Wherein, the drug release device is a micro pump, an adjustable valve or an electromagnetic drive device;

[0019] The medicine stored in the medicine storage container is a nanocarrier medicine, which is used to carry the medicine and target the tumor site.

[0020] Furthermore, the nanocarrier is a liposome, a polymer nanoparticle or a metal nanoparticle.

[0021] Furthermore, the concentration sensor is a spectral sensor, an electrochemical sensor or a biosensor, which is used to measure the drug concentration at the tumor site.

[0022] Furthermore, the control unit includes a processor and a memory, the processor is used to process data from the concentration sensor and generate control instructions, and the memory is used to store a preset drug concentration range and a control algorithm.

[0023] Furthermore, the drug release calculation module calculates the required drug release amount and delivery rate according to the data from the concentration sensor and the set drug concentration range, and generates corresponding control instructions.

[0024] Furthermore, the feedback module includes an automatic adjustment module and an alarm system. The automatic adjustment module is used to automatically adjust the delivery rate of the drug delivery device according to real-time data from the concentration sensor. The alarm system is used to issue an alarm when the drug concentration exceeds a set range.

[0025] Furthermore, the concentration sensor is connected to the drug delivery device via a wireless communication module to facilitate data transmission and system control.

[0026] Furthermore, the system also includes a user interface for displaying real-time drug concentration data and system status, and allowing the input and adjustment of drug concentration ranges; the system also includes a data recording module for recording historical data of drug concentration and delivery parameters for subsequent analysis and optimization; the system has a remote monitoring function, allowing remote monitoring and control of the drug delivery process via the network.

[0027] Furthermore, in the drug release calculation module, calculating drug release specifically includes the following steps:

[0028] The initial release rate is defined based on the diffusion model. The specific formula is:

[0029] R(t)=Q(t) / Δt=4πDdC0 / δr 2 (1)

[0030] Where R(t) represents the release rate at time t, Q(t) represents the amount of drug released at time t, D represents the diffusion coefficient of the drug, d represents the distance between the nanocarrier release site and the tumor, C0 represents the preset concentration of the drug, r represents the nanocarrier radius, and δ represents the nanocarrier thickness;

[0031] Set the concentration sensor detection interval to T. When the concentration is detected When the release rate is adjusted, the specific formula is:

[0032] ΔR=(C0-C)(1+k d d)e -J / T (2)

[0033] Among them, ΔR represents the rate difference that needs to be adjusted, k d represents the distance parameter, J represents the drug transmission rate parameter;

[0034] The rate difference ΔR to be adjusted is used as the input of the time-delay model, and the output of the time-delay model is added to the initial release rate to obtain the final release rate. The specific formula is:

[0035] R=F+R(t) (3)

[0036] Where R represents the final release rate and F represents the output of the time-delay model.

[0037] Furthermore, the calculation formula of the drug transmission rate parameter J is:

[0038]

[0039] in, It represents the gradient of drug concentration difference per unit area.

[0040] Furthermore, the delay model specifically includes:

[0041] Initialize the delay parameters: the delay parameter of f1(i) is set to 3, the delay parameter of f2(i) is set to 2, and the delay parameter of f3(i) is set to 1. It contains three hidden layers, and each hidden layer uses 4 neurons, where f1(i) and f2(i) represent external inputs, and f3(i) represents feedback input;

[0042] Calculate the input of the delay model. The specific formula is:

[0043]

[0044] Where x(·) represents the rate difference to be adjusted at the moment, Δx(·) represents the difference between the rate difference to be adjusted at the moment and the previous moment, and H(·) represents the hidden layer state feedback input at the moment;

[0045] Calculate the output of the delay model. The specific formula is:

[0046] F=Purelin(MH(i)+B) (6)

[0047] Here, Purelin is the activation function, M represents the weight matrix of the delay model output layer, and B represents the bias matrix of the delay model output layer.

[0048] According to one aspect of the present invention, a storage medium is provided, wherein instructions are stored in the storage medium. When a computer reads the instructions, the computer executes any one of the above-mentioned automated drug delivery systems for hospitals with controllable drug concentrations.

[0049] According to another aspect of the present invention, an electronic device is provided, comprising a processor and the above-mentioned storage medium, wherein the processor executes instructions in the storage medium.

[0050] Compared with the prior art, the present invention has the following beneficial effects:

[0051] 1. The present invention calculates the drug release amount and delivery rate by using the preset value and the drug concentration obtained by the feedback module, which can ensure the stability of the drug concentration in the diseased area.

[0052] 2. The present invention monitors the drug concentration through a concentration sensor and provides feedback to ensure safety during drug delivery.

[0053] 3. The present invention combines the initial release rate based on the diffusion model with the rate calculated by the time-delay model to obtain the final real-time release rate, which is more accurate.

[0054] 3. The present invention proposes a time delay model, which, through feedback input, can eliminate the time delay when the concentration in the diseased area needs to be changed as much as possible, making the drug delivery system more stable. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Other features, objects and advantages of the present invention will become more apparent upon reading the detailed description of non-limiting embodiments made with reference to the following drawings:

[0056] Figure 1Schematic diagram of the system structure of an embodiment of the present invention;

[0057] Figure 2 is a schematic diagram of a drug delivery device according to an embodiment of the present invention;

[0058] Figure 3 Schematic diagram of a delay model according to an embodiment of the present invention;

[0059] Figure 4 This is a drug concentration monitoring diagram of an embodiment of the present invention. DETAILED DESCRIPTION

[0060] In order to make the objectives, technical solutions and advantages of the present invention more clear, the present invention is described in detail below with reference to the accompanying drawings and specific embodiments.

[0061] like Figure 1 As shown, the hospital-used automated drug delivery system with controllable drug concentration includes:

[0062] a drug delivery device for delivering a drug into a patient's body;

[0063] Concentration sensor, used to monitor the concentration of drugs in patients in real time;

[0064] a control unit, configured to receive a signal from the drug release calculation module and control a delivery rate of the drug delivery device according to a set drug concentration range;

[0065] The drug release calculation module is used to calculate the drug release amount and delivery rate through the preset value and the drug concentration obtained by the feedback module, and generate control instructions;

[0066] The feedback module is used to calculate the drug concentration based on the measurement results of the concentration sensor.

[0067] like Figure 2 As shown, the drug delivery device comprises:

[0068] a supporting structure for supporting the entire drug delivery device;

[0069] a medication storage container for storing a predetermined dose of medication for delivery to a patient;

[0070] a drug release device in communication with the drug reservoir for controlling the delivery rate of the drug;

[0071] a delivery tube for delivering medication from a medication storage container to a patient;

[0072] Interface device: connects to the patient's body, usually including an injection needle or catheter;

[0073] Wherein, the drug release device is a micro pump, an adjustable valve or an electromagnetic drive device;

[0074] The medicine stored in the medicine storage container is a nanocarrier medicine, which is used to carry the medicine and target the tumor site.

[0075] The nanocarrier is a liposome, a polymer nanoparticle or a metal nanoparticle.

[0076] The concentration sensor is a spectral sensor, an electrochemical sensor or a biosensor, and is used to measure the drug concentration at the tumor site.

[0077] The control unit includes a processor and a memory. The processor is used to process data from the concentration sensor and generate control instructions. The memory is used to store a preset drug concentration range and a control algorithm.

[0078] The drug release calculation module calculates the required drug release amount and delivery rate according to the data from the concentration sensor and the set drug concentration range, and generates corresponding control instructions.

[0079] The feedback module includes an automatic adjustment module and an alarm system. The automatic adjustment module is used to automatically adjust the delivery rate of the drug delivery device according to the real-time data of the concentration sensor. The alarm system is used to issue an alarm when the drug concentration exceeds a set range.

[0080] The concentration sensor is connected to the drug delivery device via a wireless communication module to facilitate data transmission and system control.

[0081] The system also includes a user interface for displaying real-time drug concentration data and system status, and allowing the input and adjustment of drug concentration ranges; the system also includes a data recording module for recording historical data of drug concentration and delivery parameters for subsequent analysis and optimization; the system has a remote monitoring function, allowing remote monitoring and control of the drug delivery process via the network.

[0082] In the drug release calculation module, calculating drug release specifically includes the following steps:

[0083] The initial release rate is defined based on the diffusion model. The specific formula is:

[0084] R(t)=Q(t) / Δt=4πDdC0 / δr 2 (1)

[0085] Where R(t) represents the release rate at time t, Q(t) represents the amount of drug released at time t, D represents the diffusion coefficient of the drug, d represents the distance between the nanocarrier release site and the tumor, C0 represents the preset concentration of the drug, r represents the nanocarrier radius, and δ represents the nanocarrier thickness;

[0086] Set the concentration sensor detection interval to T. When the concentration is detected When the release rate is adjusted, the specific formula is:

[0087] ΔR=(C0-C)(1+k d d)e -J / T (2)

[0088] Among them, ΔR represents the rate difference that needs to be adjusted, k d represents the distance parameter, J represents the drug transmission rate parameter;

[0089] The rate difference ΔR to be adjusted is used as the input of the time-delay model, and the output of the time-delay model is added to the initial release rate to obtain the final release rate. The specific formula is:

[0090] R=F+R(t) (3)

[0091] Where R represents the final release rate and F represents the output of the time-delay model.

[0092] The calculation formula of drug transmission rate parameter J is:

[0093]

[0094] in, It represents the gradient of drug concentration difference per unit area.

[0095] like Figure 3 As shown, the delay model specifically includes:

[0096] Initialize the delay parameters: the delay parameter of f1(i) is set to 3, the delay parameter of f2(i) is set to 2, and the delay parameter of f3(i) is set to 1. It contains three hidden layers, and each hidden layer uses 4 neurons, where f1(i) and f2(i) represent external inputs, and f3(i) represents feedback input;

[0097] Calculate the input of the delay model. The specific formula is:

[0098]

[0099] Where x(·) represents the rate difference to be adjusted at the moment, Δx(·) represents the difference between the rate difference to be adjusted at the moment and the previous moment, and H(·) represents the hidden layer state feedback input at the moment;

[0100] Calculate the output of the delay model. The specific formula is:

[0101] F=Purelin(MH(i)+B) (6)

[0102] Here, Purelin is the activation function, M represents the weight matrix of the delay model output layer, and B represents the bias matrix of the delay model output layer.

[0103] The delay parameter should be determined by the appropriate number of past states required for network training. If too many past values ​​are used, the test output may overfit. Conversely, if only a small number of past values ​​are used, the network may not be able to train and eliminate sufficient sensor lag effects.

[0104] Next, we determine the number of hidden layers. To shorten the training time and simplify the process, two hidden layers are sufficient to train nonlinear dynamic systems.

[0105] The number of neurons in the hidden layer is then determined. Too many neurons will lead to overfitting and may require more time to train on a given dataset. Too few neurons, on the other hand, will result in underfitting. The sufficient number of neurons in the hidden layer is selected based on a trial-and-error rule of thumb. In this work, fewer hidden nodes are preferred because the time-delay model test output function will be used for real-time data processing.

[0106] The time delay model usually uses the hyperbolic tangent function because the network can be trained without the gradient vanishing phenomenon. Therefore, the hyperbolic tangent function is used as the activation function of the designed time delay model.

[0107] like Figure 4 As shown, it can be seen that the system proposed by the present invention can ensure the stability of the drug concentration in the diseased area as much as possible, and automatically realize concentration control, with good treatment effect.

[0108] The examples described in the present invention are merely descriptions of the preferred embodiments of the present invention and are not intended to limit the concept and scope of the present invention. Without departing from the design concept of the present invention, various modifications and improvements made to the technical solutions of the present invention by engineers and technicians in this field should fall within the scope of protection of the present invention.

Claims

1. An automated drug delivery system for hospitals with controllable drug concentration, characterized in that: include: Drug delivery devices for delivering drugs into a patient's body; Concentration sensor, used to monitor the concentration of drugs in patients in real time; a control unit, for receiving a signal from the drug release calculation module and controlling a delivery rate of the drug delivery device according to a set drug concentration range; A drug release calculation module is used to calculate the drug release amount and delivery rate through the preset value and the drug concentration obtained by the feedback module, and generate control instructions; The feedback module is used to calculate the drug concentration according to the measurement result of the concentration sensor.

2. The automated drug delivery system for hospitals with controllable drug concentration according to claim 1, characterized in that: The drug delivery device comprises: A supporting structure for supporting the entire drug delivery device; a medication storage container for storing a medication for delivery of a predetermined dose to a patient; a drug release device, in communication with the drug reservoir, for controlling the delivery rate of the drug; a delivery tube for delivering the drug from the drug storage container to the patient; Interface device: connected to the patient's body, usually including an injection needle or catheter; Wherein, the drug release device is a micro pump, an adjustable valve or an electromagnetic drive device; The drug stored in the drug storage container is a nanocarrier drug, which is used to carry the drug and target the tumor site.

3. The automated drug delivery system for hospitals with controllable drug concentration according to claim 2, characterized in that: The nanocarrier is a liposome, a polymer nanoparticle or a metal nanoparticle.

4. The automated drug delivery system for hospitals with controllable drug concentration according to claim 1, characterized in that: The concentration sensor is a spectral sensor, an electrochemical sensor or a biosensor, and is used to measure the drug concentration at the tumor site.

5. The automated drug delivery system for hospitals with controllable drug concentration according to claim 1, characterized in that: The control unit includes a processor and a memory, the processor is used to process the data of the concentration sensor and generate control instructions, and the memory is used to store a preset drug concentration range and a control algorithm.

6. The automated drug delivery system for hospitals with controllable drug concentration according to claim 1, characterized in that: The drug release calculation module calculates the required drug release amount and delivery rate according to the data of the concentration sensor and the set drug concentration range, and generates corresponding control instructions.

7. The automated drug delivery system for hospitals with controllable drug concentration according to claim 1, characterized in that: The feedback module includes an automatic adjustment module and an alarm system. The automatic adjustment module is used to automatically adjust the delivery rate of the drug delivery device according to the real-time data of the concentration sensor, and the alarm system is used to issue an alarm when the drug concentration exceeds a set range.

8. The automated drug delivery system for hospitals with controllable drug concentration according to claim 1, characterized in that: The concentration sensor is connected to the drug delivery device via a wireless communication module to facilitate data transmission and system control.

9. The automated drug delivery system for hospitals with controllable drug concentration according to claim 1, characterized in that: The system also includes a user interface for displaying real-time drug concentration data and system status and allowing input and adjustment of drug concentration ranges; the system also includes a data recording module for recording historical data of drug concentration and delivery parameters for subsequent analysis and optimization; the system has a remote monitoring function, allowing remote monitoring and control of the drug delivery process via the network.

10. The automated drug delivery system for hospitals with controllable drug concentration according to claim 6, characterized in that: In the drug release calculation module, calculating drug release specifically includes the following steps: The initial release rate is defined based on the diffusion model. The specific formula is: R(t)=Q(t) / Δt=4πDdC0 / δr 2 (1) Wherein, R(t) represents the release rate at time t, Q(t) represents the amount of drug released at time t, D represents the diffusion coefficient of the drug, d represents the distance between the release site of the nanocarrier and the tumor, C0 represents the preset concentration of the drug, r represents the radius of the nanocarrier, and δ represents the thickness of the nanocarrier; Set the concentration sensor detection interval to T. When the concentration detected is When the release rate is adjusted, the specific formula is: ΔR=(C0-C)(1+k d d)e -J / T (2) Among them, ΔR represents the rate difference that needs to be adjusted, k d represents the distance parameter, J represents the drug propagation rate parameter; The rate difference ΔR to be adjusted is used as the input of the time-delay model, and the output of the time-delay model is added to the initial release rate as the final release rate. The specific formula is: R=F+R(t) (3) Among them, R represents the final release rate, and F represents the output of the time-delay model.

11. The automated drug delivery system for hospitals with controllable drug concentration according to claim 10, characterized in that: The calculation formula of drug transmission rate parameter J is: in, It represents the gradient of drug concentration difference per unit area.

12. The automated drug delivery system for hospitals with controllable drug concentration according to claim 10, characterized in that: The delay model specifically includes: Initialize the delay parameters: the delay parameter of f1(i) is set to 3, the delay parameter of f2(i) is set to 2, and the delay parameter of f3(i) is set to 1. It contains three hidden layers, and each hidden layer uses 4 neurons, where f1(i) and f2(i) represent external inputs, and f3(i) represents feedback input; Calculate the input of the delay model. The specific formula is: Where x(·) represents the rate difference to be adjusted at the moment, Δx(·) represents the difference between the rate difference to be adjusted at the moment and the previous moment, and H(·) represents the hidden layer state feedback input at the moment; Calculate the output of the delay model. The specific formula is: F=Purelin(MH(i)+B) (6) Among them, Purelin is the activation function, M represents the weight matrix of the delay model output layer, and B represents the bias matrix of the delay model output layer.

13. A storage medium, characterized in that: The storage medium stores instructions, and when a computer reads the instructions, the computer executes the automated drug delivery system for hospitals with controllable drug concentration as described in any one of claims 1 to 12.

14. An electronic device, characterized in that: The invention comprises a processor and the storage medium of claim 13, wherein the processor executes instructions in the storage medium.

Images