CN-121999965-A - Anesthetic injection amount dynamic adjustment device, anesthetic injection amount dynamic adjustment computer equipment and storage medium

CN121999965ACN 121999965 ACN121999965 ACN 121999965ACN-121999965-A

Abstract

The invention discloses an anesthetic injection quantity dynamic adjustment device, a computer device and a storage medium, which comprise the steps of obtaining the reaction time of a target patient when the anesthetic is not injected to obtain an original reference reaction time, carrying out standardized processing on the original reference reaction time to obtain a static input characteristic, collecting the real-time reaction time, the real-time blood concentration and the real-time effect chamber concentration of the target patient when the anesthetic is injected, calculating a dynamic input characteristic based on the real-time reaction time, the real-time blood concentration and the real-time effect chamber concentration, inputting the static input characteristic and the dynamic input characteristic into a preset prediction model to enable the preset prediction model to output a critical effect chamber concentration, and adjusting the anesthetic injection quantity according to the critical effect chamber concentration. The invention not only can adapt to individual differences, but also can dynamically adjust the injection quantity of anesthetic, thereby ensuring that the consciousness and spontaneous breathing of a patient are maintained while the patient is anesthetized.

Inventors

MAI CHAOWEI
JIA WENJIAN
MAI YULIN
HUANG WENJIAN
ZHOU WENJUN

Assignees

深圳市伟利安舟医疗科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260130

Claims (10)

1. A method for dynamically adjusting the injection quantity of anesthetic, said method comprising: obtaining a reaction time of the target patient when the anesthetic is not injected to obtain an original baseline reaction time; Performing standardization processing on the original reference reaction time to obtain a static input characteristic; Collecting real-time reaction time, real-time blood concentration and real-time effect chamber concentration of the target patient when the anesthetic is injected, and calculating dynamic input characteristics based on the real-time reaction time, the real-time blood concentration and the real-time effect chamber concentration; inputting the static input features and the dynamic input features into a preset prediction model so that the preset prediction model outputs critical effect chamber concentration; And adjusting the injection quantity of the anesthetic according to the critical effect chamber concentration.
2. The method of claim 1, wherein the step of obtaining the reaction time of the subject patient without the anesthetic injected to obtain the original baseline reaction time comprises: Transmitting a vibration signal to the target patient through a vibration triggering device and confirming whether a feedback signal of the target patient is received or not in real time; If a feedback signal of the target patient is received, the time interval between the receipt of the feedback signal is recorded to obtain the original baseline response time.
3. The method of claim 1, wherein the step of normalizing the raw reference reaction time to obtain a static input feature comprises: obtaining a reference reaction time statistical parameter of the preset prediction model, wherein the reference reaction time statistical parameter comprises a reference reaction time mean value and a reference reaction time standard deviation; Substituting the reference reaction time mean value, the reference reaction time standard deviation and the original reference reaction time into a preset standardized formula, and calculating the static input characteristic through the preset standardized formula.
4. The method of claim 3, wherein the predetermined normalization formula is: Where RT base is the static input feature, RT base is the original baseline reaction time, μ train is the baseline reaction time mean, σ train is the baseline reaction time standard deviation.
5. The method of claim 1, wherein the step of calculating a dynamic input feature based on the real-time reaction time, the real-time plasma concentration, and the real-time effector chamber concentration comprises: carrying out standardized treatment on the real-time blood concentration and the real-time effect chamber concentration to obtain standardized real-time blood concentration and standardized real-time effect chamber concentration; Calculating a normalized reaction time change rate according to the real-time reaction time and the original reference reaction time; And splicing the standardized real-time plasma concentration, the standardized real-time effector chamber concentration and the normalized reaction time change rate according to dimensions to obtain a dynamic input characteristic of a single time step.
6. The method of claim 1, wherein the step of adjusting the injection volume of anesthetic based on the critical effector chamber concentration comprises: If a dosing instruction is received, judging the size between the concentration of the real-time effect chamber and the concentration of the critical effect chamber; If the concentration of the real-time effect chamber is smaller than the concentration of the critical effect chamber, adding injection quantity according to a preset increment; and if the real-time effect chamber concentration is greater than or equal to the critical effect chamber concentration, not responding to the drug increasing instruction.
7. The method of claim 1, wherein the method further comprises: collecting static data and dynamic time sequence data of each patient, wherein the static data is reference reaction time when the patient is not injected with anesthetic, and the dynamic time sequence data is blood concentration, effect chamber concentration and real-time reaction time of a plurality of time steps in the injection process; Generating a training set based on the static data and the dynamic time sequence data; Generating a plurality of training samples based on the complete dynamic sequence of each patient in the training set; Taking the static data of the training sample and the dynamic data of the first k time steps as input data, and taking the real effect chamber concentration of each patient as output data to train the model to be trained; And optimizing the model to be trained through a preset loss function to obtain the preset prediction model.
8. A dynamic anesthetic injection amount adjustment device, the device comprising: A first acquisition unit for acquiring a reaction time of a target patient when the anesthetic is not injected to obtain an original reference reaction time; The first normalization unit is used for performing normalization processing on the original reference reaction time to obtain a static input characteristic; The first acquisition unit is used for acquiring the real-time reaction time, the real-time blood concentration and the real-time effect chamber concentration of the target patient when the anesthetic is injected, and calculating dynamic input characteristics based on the real-time reaction time, the real-time blood concentration and the real-time effect chamber concentration; The first input unit is used for inputting the static input characteristics and the dynamic input characteristics into a preset prediction model so that the preset prediction model outputs critical effect chamber concentration; and the first adjusting unit is used for adjusting the injection quantity of the anesthetic according to the critical effect chamber concentration.
9. A computer device, characterized in that the computer device comprises a memory for storing a computer program and a processor connected to the memory for running the computer program stored in the memory for performing the steps of the method according to any one of claims 1-7.
10. A computer-readable storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, implements the steps of the method according to any of claims 1-7.

Description

Anesthetic injection amount dynamic adjustment device, anesthetic injection amount dynamic adjustment computer equipment and storage medium Technical Field The invention relates to the technical field of anesthesia and sedation, in particular to a dynamic anesthetic injection quantity adjustment device, a computer device and a storage medium. Background The anesthetic is widely applied to clinical intravenous sedation, but has obvious individual difference in drug effect, the concentration range of an effector room with the patient consciousness disappeared is 0.7-4.8 mug/mL, and the difference is approximately 7 times. In a sedated setting where patient consciousness is maintained, the patient is maintained in a state of sufficient relaxation and unconsciousness and respiratory depression, a process that is highly dependent on the clinical experience of the anesthesiologist. The traditional intravenous sedative anesthetic (such as propofol) is injected in a fixed dose or weight-based estimation mode, so that individual drug effect differences cannot be adapted, namely, serious adverse reactions such as vanishing consciousness and respiratory depression of patients are easily caused by excessive doses, sedation requirements cannot be met when the doses are too low, and discomfort such as tension and pain of the patients can occur. In addition, the traditional method lacks a real-time feedback and quantitative evaluation mechanism, so that the dosage is difficult to dynamically adjust in the drug action process, and the clinical risk is further increased. Disclosure of Invention The embodiment of the invention provides a dynamic adjustment, a device, computer equipment and a storage medium for anesthetic injection, which aim to solve the problems that the existing anesthetic injection method cannot adapt to individual drug effect differences and cannot dynamically adjust the injection. In a first aspect, an embodiment of the present invention provides a method for dynamically adjusting an injection amount of an anesthetic, the method comprising: obtaining a reaction time of the target patient when the anesthetic is not injected to obtain an original baseline reaction time; Performing standardization processing on the original reference reaction time to obtain a static input characteristic; Collecting real-time reaction time, real-time blood concentration and real-time effect chamber concentration of the target patient when the anesthetic is injected, and calculating dynamic input characteristics based on the real-time reaction time, the real-time blood concentration and the real-time effect chamber concentration; inputting the static input features and the dynamic input features into a preset prediction model so that the preset prediction model outputs critical effect chamber concentration; And adjusting the injection quantity of the anesthetic according to the critical effect chamber concentration. In a second aspect, an embodiment of the present invention further provides a device for dynamically adjusting an injection amount of an anesthetic, including: A first acquisition unit for acquiring a reaction time of a target patient when the anesthetic is not injected to obtain an original reference reaction time; The first normalization unit is used for performing normalization processing on the original reference reaction time to obtain a static input characteristic; The first acquisition unit is used for acquiring the real-time reaction time, the real-time blood concentration and the real-time effect chamber concentration of the target patient when the anesthetic is injected, and calculating dynamic input characteristics based on the real-time reaction time, the real-time blood concentration and the real-time effect chamber concentration; The first input unit is used for inputting the static input characteristics and the dynamic input characteristics into a preset prediction model so that the preset prediction model outputs critical effect chamber concentration; and the first adjusting unit is used for adjusting the injection quantity of the anesthetic according to the critical effect chamber concentration. In a third aspect, an embodiment of the present invention further provides a computer device, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the method when executing the computer program. In a fourth aspect, embodiments of the present invention also provide a computer readable storage medium storing a computer program which, when executed by a processor, implements the above method. The embodiment of the invention provides a dynamic anesthetic injection quantity adjusting device, a computer device and a storage medium. The method comprises the steps of obtaining reaction time of a target patient when the anesthetic is not injected to obtain original reference reaction time, carrying out standardized processing on the original reference re