Anesthesia respiration control method based on respiration monitoring

Abstract

The invention relates to the technical field of anesthesia monitoring, and discloses an anesthesia breathing control method based on breathing monitoring, which comprises the following steps: acquiring breathing data and individual data of a target patient, establishing a breathing database, forming prediction data according to the breathing database and the individual data of the target patient, and determining the breathing rate of the target patient according to the prediction data and the breathing rate of the target patient. According to the anesthesia respiration control method based on respiration monitoring, whether mechanical ventilation of a patient is converted into autonomous respiration or not due to insufficient anesthesia depth in the operation process of the patient is predicted; adjusting the acquisition frequency of the respiration detection equipment on the respiration of the patient in the operation process, judging whether the patient is converted from mechanical ventilation to autonomous respiration or not, adjusting the anesthesia depth of the patient in time, and actively judging whether the patient can evacuate from the respiration equipment or not after the patient wakes up after anesthesia.

Description

Technical Field

[0001] The present invention relates to the technical field of anesthesia monitoring, and in particular to an anesthesia breathing control method based on breathing monitoring. Background Art

[0002] The anesthesia breathing control method based on respiratory monitoring is to monitor the patient's breathing under anesthesia by using modern technology to ensure the patient's safety during surgery or other medical procedures, including: sensor monitoring of respiratory signals, data acquisition and processing, alarm system, data recording and analysis, and real-time feedback and adjustment, etc. It can improve the safety of patients during anesthesia and reduce the incidence of respiratory-related complications. It can also provide more timely and accurate medical interventions, thereby improving the patient's treatment effect;

[0003] Sensors are placed near the patient's respiratory tract, and the data captured by the sensors are transmitted to the monitoring system, which is able to process the data in real time and use algorithms to analyze breathing patterns to identify abnormal breathing patterns. When the monitoring system detects an abnormal breathing pattern, it triggers an alarm to notify medical staff or doctors to intervene. The monitoring system can record the patient's breathing data and store it in a database for subsequent analysis and evaluation, which can be used to improve anesthesia management methods and provide doctors with more information about the patient's condition. Medical staff can obtain real-time feedback through the monitoring system to adjust the dosage of anesthetic drugs or other treatments according to the patient's breathing condition to ensure the patient's breathing safety.

[0004] The existing anesthesia breathing control method based on respiratory monitoring cannot predict whether the patient will switch from mechanical ventilation to spontaneous breathing due to insufficient anesthesia depth during surgery based on individual differences of the patient, thereby adjusting the frequency of the patient's breathing collection by the respiratory detection equipment during surgery. It cannot determine whether the patient will switch from mechanical ventilation to spontaneous breathing based on the patient's respiratory frequency changes during surgery, thereby adjusting the patient's anesthesia depth during surgery. It cannot actively determine whether the patient has a tendency to breathe spontaneously after waking up from anesthesia based on the patient's postoperative respiratory frequency and blood pressure data, thereby determining whether the respiratory equipment can be withdrawn. Its practicality has certain limitations. Summary of the invention

[0005] The present invention provides an anesthesia breathing control method based on breathing monitoring, which is used to promote solving the problems mentioned in the background technology.

[0006] The present invention provides the following technical solution: an anesthetic breathing control method based on respiratory monitoring, comprising:

[0007] Acquire respiratory data and individual data of target patients;

[0008] The respiratory data includes respiratory rate, blood oxygen saturation, blood pressure and heart rate;

[0009] The individual data include age, weight, health status and type of surgery;

[0010] Establishing a respiratory database, wherein the respiratory database stores individual data of all patients and respiratory data during and after surgery, so as to predict whether the target patient will experience spontaneous breathing during surgery due to insufficient anesthesia depth due to individual differences;

[0011] Based on the respiratory database and the individual data of the target patient, prediction data is generated to predict whether the target patient will experience spontaneous breathing during surgery due to insufficient anesthesia depth due to individual differences;

[0012] According to the predicted data and the respiratory rate of the target patient, the data judgment strategy is used to form judgment data to judge whether the target patient has spontaneous breathing during the operation due to insufficient anesthesia depth;

[0013] According to the judgment data, the data adjustment strategy is used to form adjustment data, so as to timely adjust the anesthesia depth for patients with spontaneous breathing during surgery to keep the patient's breathing stable;

[0014] Based on the respiratory data, data analysis strategies are used to generate analytical data to analyze the respiratory condition of the target patient after surgery, determine whether the target patient has the consciousness of spontaneous breathing after surgery, and thus determine whether mechanical ventilation can be withdrawn to allow the patient to breathe spontaneously;

[0015] Based on the analyzed data, a comparison conclusion is formed through data comparison strategy to determine whether mechanical ventilation can be withdrawn and the patient can breathe spontaneously.

[0016] As an optional solution of the anesthesia breathing control method based on respiratory monitoring of the present invention, the establishment of a respiratory database is specifically as follows:

[0017] The individual data, operation duration, spontaneous respiratory rate, and mechanical respiratory rate of all patients were obtained and integrated into the first data set;

[0018] The initial anesthesia depth and the secondary anesthesia depth of each patient during the operation were obtained and integrated into the second data set;

[0019] The duration of the initial anesthesia depth and the duration of the secondary anesthesia depth of each patient were extracted and respectively defined as the initial duration and the secondary duration, and integrated into the third data set;

[0020] The first data set, the second data set and the third data set are integrated to form a respiratory database.

[0021] As an optional solution of the anesthesia breathing control method based on respiratory monitoring of the present invention, wherein: the forming of prediction data is specifically:

[0022] Obtaining individual data of target patients and defining them as target individual data;

[0023] Extract all patients whose target individual data correspond to the respiratory database and define them as target analysis patients;

[0024] The initial anesthesia depth of each target patient was extracted;

[0025] Calculate the target initial anesthesia depth, target initial anesthesia depth = the sum of the initial anesthesia depths of all target analysis patients ÷ the number of target analysis patients;

[0026] Then the target initial anesthesia depth is the target patient’s initial anesthesia depth;

[0027] Extract the initial duration corresponding to the target initial anesthesia depth and set it as the target initial duration;

[0028] The operation duration of each target patient was extracted and analyzed;

[0029] Calculate the target operation time, target operation time = sum of operation time of all target analysis patients ÷ number of target analysis patients;

[0030] If the target initial duration is ≥ the target operation duration, it is predicted that the target patient will always be mechanically ventilated during the operation;

[0031] If the target initial duration is less than the target operation duration, it is predicted that the target patient will have spontaneous breathing during the operation.

[0032] As an optional solution of the anesthesia breathing control method based on respiratory monitoring of the present invention, the data determination strategy is specifically:

[0033] Obtain the mechanical respiratory rate of each target patient in each respiratory cycle;

[0034] Calculate the target mechanical respiratory rate, target mechanical respiratory rate = the sum of the mechanical respiratory rates of all target analysis patients ÷ the number of target analysis patients;

[0035] Control the respiratory equipment so that the target patient is mechanically ventilated at the target mechanical respiratory rate;

[0036] If the target patient is predicted to be mechanically ventilated throughout the operation, the monitoring frequency is obtained;

[0037] The respiratory rate of the target patient in each respiratory cycle is monitored in real time at a monitoring frequency, which is set as the first monitoring respiratory rate;

[0038] If the first monitored respiratory rate in each respiratory cycle = the target mechanical respiratory rate in each respiratory cycle, it is determined that the patient's breathing is normal;

[0039] If the first monitored respiratory rate in each respiratory cycle is ≠ the target mechanical respiratory rate in each respiratory cycle, the patient's breathing is judged to be abnormal, and the spontaneous breathing judgment strategy is executed;

[0040] If the target patient is predicted to have spontaneous breathing during the operation, the operation start time point is obtained;

[0041] Calculate the predicted spontaneous breathing time point, predicted spontaneous breathing time point = surgery start time point + [target initial duration × (1-10%)];

[0042] The start time of the operation is taken as the starting time point, and the predicted spontaneous breathing time point is taken as the ending time point, forming the first monitoring period;

[0043] The period between the predicted spontaneous breathing time point and the end of the operation is defined as the second monitoring period;

[0044] During the first monitoring period, the respiratory rate of the target patient in each respiratory cycle is monitored in real time at the monitoring frequency, and is defined as the second monitored respiratory rate;

[0045] If the second monitored respiratory rate in each respiratory cycle = the target mechanical respiratory rate in each respiratory cycle, it is determined that the patient's breathing is normal;

[0046] If the second monitored respiratory rate in each respiratory cycle is ≠ the target mechanical respiratory rate in each respiratory cycle, the patient's breathing is judged to be abnormal, and the spontaneous breathing judgment strategy is executed;

[0047] Get the adjustment monitoring frequency;

[0048] During the second monitoring period, the respiratory rate of the target patient in each respiratory cycle is monitored in real time by adjusting the monitoring frequency, and the frequency is set as a third monitoring respiratory rate;

[0049] If the third monitored respiratory rate in each respiratory cycle = the target mechanical respiratory rate in each respiratory cycle, it is determined that the patient's breathing is normal;

[0050] If the third monitored respiratory rate in each respiratory cycle is ≠ the target mechanical respiratory rate in each respiratory cycle, the patient's breathing is determined to be abnormal, and the spontaneous breathing determination strategy is executed.

[0051] As an optional solution of the anesthesia breathing control method based on respiratory monitoring of the present invention, the spontaneous breathing determination strategy is specifically:

[0052] Acquire a monitored respiratory frequency in each respiratory cycle, wherein the monitored respiratory frequency includes a first monitored respiratory frequency, a second monitored respiratory frequency, and a third monitored respiratory frequency;

[0053] performing a respiratory cycle comparison step;

[0054] If the respiratory rate of the target patient tends to be consistent within the abnormal determination period, it is determined that the patient has switched from mechanical ventilation to spontaneous breathing, and the data adjustment strategy is executed;

[0055] If the respiratory rate of the target patient fluctuates within the abnormal determination period, it is determined that the patient's respiratory abnormality is caused by the surgical operation. At this time, the anesthesia depth of the target patient is not adjusted, and the doctor is prompted that the current patient's breathing is abnormal.

[0056] As an optional solution of the anesthesia breathing control method based on respiratory monitoring of the present invention, the step of performing respiratory cycle comparison is specifically:

[0057] S1, extracting the respiratory cycle of the patient's abnormal breathing and defining it as the initial abnormal cycle;

[0058] Get the collection threshold;

[0059] S2, taking the initial abnormal cycle as the starting cycle, obtaining subsequent breathing cycles, defining the breathing cycle as the abnormal determination cycle, and the number of abnormal determination cycles as the acquisition threshold;

[0060] The respiratory frequency collected during the abnormal determination period is defined as the abnormal determination respiratory frequency;

[0061] S3. If the number of respiratory cycles in which the abnormal determined respiratory frequency in the abnormal determination period is consistent with the monitored respiratory frequency data of the initial abnormal period is greater than the acquisition threshold × 80%, it is determined that the respiratory frequency of the target patient in the abnormal determination period tends to be consistent;

[0062] S4. If the number of respiratory cycles in which the abnormal determined respiratory frequency within the abnormal determination period is consistent with the monitored respiratory frequency data of the initial abnormal period is ≤ the acquisition threshold × 80%, it is determined that the respiratory frequency of the target patient fluctuates within the abnormal determination period.

[0063] As an optional solution of the anesthesia breathing control method based on respiratory monitoring of the present invention, the data adjustment strategy is specifically:

[0064] If it is determined that the patient has switched from mechanical ventilation to spontaneous breathing, the secondary anesthesia depth of each target analysis patient is obtained;

[0065] Calculate the target secondary anesthetic depth, target secondary anesthetic depth = the sum of the secondary anesthetic depths of all target analysis patients ÷ the number of target analysis patients;

[0066] Then the target secondary anesthesia depth is the secondary anesthesia depth of the target patient;

[0067] Adjust the target patient's anesthetic depth to the secondary anesthetic depth.

[0068] As an optional solution of the anesthesia breathing control method based on respiratory monitoring of the present invention, the data analysis strategy is specifically:

[0069] Obtain the target patient's surgery completion time point, which is set as the anesthesia awakening determination time point;

[0070] Obtain the spontaneous respiratory rate of the target patient in each respiratory cycle before the operation, and define it as the preoperative respiratory rate;

[0071] Taking the time point of anesthesia awakening as the starting time point, the spontaneous respiratory rate of the target patient in each respiratory cycle after surgery is collected in real time and determined as the postoperative respiratory rate;

[0072] The preoperative respiratory frequency in each respiratory cycle is equal to the postoperative respiratory frequency in each respiratory cycle, which is determined as the first determination result;

[0073] Obtain the target patient's preoperative blood oxygen saturation, blood pressure, and heart rate, and integrate them into preoperative respiratory data;

[0074] Taking the time point of anesthesia awakening as the starting time point, the postoperative blood oxygen saturation, blood pressure and heart rate of the target patient are collected in real time and integrated into postoperative respiratory data;

[0075] The pre-operative respiratory data = post-operative respiratory data is determined as the second determination result.

[0076] As an optional solution of the anesthesia breathing control method based on respiratory monitoring of the present invention, the data comparison strategy is specifically as follows:

[0077] Obtaining a first determination result and a second determination result;

[0078] If both the first determination result and the second determination result are satisfied, it means that the target patient is able to breathe spontaneously;

[0079] Then the respiratory device is controlled to be disconnected, so that the target patient can breathe spontaneously;

[0080] If the first judgment result or the second judgment result is met, it means that the target patient has a tendency to breathe spontaneously;

[0081] Push manual judgment and diagnosis opinions to doctors, and determine whether to evacuate the respiratory equipment based on the doctor's manual diagnosis conclusion;

[0082] If both the first judgment result and the second judgment result are not satisfied, it means that the target patient cannot breathe spontaneously;

[0083] The respiratory device continues to be controlled so that the target patient is mechanically ventilated at the target mechanical respiratory rate.

[0084] The present invention has the following beneficial effects:

[0085] 1. The anesthesia breathing control method based on respiratory monitoring obtains the individual data of the target patient, extracts the diagnosis and treatment data of the same type of patients in the respiratory database, and calculates and predicts the initial anesthesia depth, initial duration and operation duration of the target patient. If the predicted initial duration is greater than the predicted operation duration, the prediction conclusion is that the target patient is always mechanically ventilated during the operation. During the operation, the respiratory detection device's collection frequency of the target patient's breathing remains unchanged. If the predicted initial duration is less than the predicted operation duration, the prediction conclusion is that the target patient may turn to spontaneous breathing during the operation. When it is predicted that the target patient may turn to spontaneous breathing during the operation, the respiratory detection device changes the collection frequency of the target patient's breathing, and promptly determines the respiratory changes of the target patient during the operation to prevent complications or sequelae caused by poor breathing during the operation, and at the same time prevents the patient from suffering from sequelae due to improper use of anesthetics.

[0086] 2. The anesthesia breathing control method based on respiratory monitoring determines whether the patient's breathing is abnormal during the operation by monitoring the respiratory rate of mechanical ventilation during the operation. Since mechanical ventilation is controlled by the respiratory equipment to drive the patient to breathe, the patient's respiratory rate in the respiratory cycle during mechanical ventilation is almost the same. If the respiratory rate of the patient's two respiratory cycles before and after is inconsistent, it means that the patient's breathing is abnormal. At this time, the respiratory rate of a certain number of respiratory cycles is continued to be collected. If the respiratory rate of the respiratory cycles collected later tends to be consistent, it means that the patient has changed from mechanical ventilation to spontaneous breathing during the operation due to insufficient anesthesia depth. The patient's anesthesia depth is adjusted in time to restore the patient to mechanical ventilation. If the respiratory rate of only a few respiratory cycles is inconsistent with the respiratory rate of the respiratory cycle during mechanical ventilation, it means that the patient's abnormal breathing may be caused by some necessary operations during the operation, so as to prevent the improper use of anesthetics due to misjudgment, thereby causing sequelae to the patient.

[0087] 3. The anesthesia breathing control method based on respiratory monitoring monitors the patient's postoperative breathing to determine whether the patient's respiratory function gradually recovers after awakening from anesthesia. If the patient does not have spontaneous breathing, and the postoperative blood pressure, heart rate, blood oxygen saturation and other data are not consistent with the preoperative data, it means that the patient's respiratory function has not yet recovered, and the patient's breathing will continue to be assisted by a respiratory device. If the patient has spontaneous breathing, and the postoperative blood pressure, heart rate, blood oxygen saturation and other data are consistent with the preoperative data, it means that the patient's respiratory function has begun to recover, and the respiratory device will be automatically disconnected. If the patient has spontaneous breathing, or the postoperative blood pressure, heart rate, blood oxygen saturation and other data are consistent with the preoperative data, the doctor needs to manually diagnose whether the respiratory device can be evacuated, and the respiratory device should be evacuated in time to prevent the patient from becoming dependent on the respiratory device and reduce the incidence of respiratory device-related complications in the patient. BRIEF DESCRIPTION OF THE DRAWINGS

[0088] Figure 1 The present invention is a flow chart of the anesthesia breathing control method based on respiratory monitoring. DETAILED DESCRIPTION

[0089] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0090] Embodiment 1, a method for controlling anesthesia breathing based on respiratory monitoring, see Figure 1 ,include:

[0091] Acquire respiratory data and individual data of target patients;

[0092] The respiratory data includes respiratory rate, blood oxygen saturation, blood pressure and heart rate;

[0093] The individual data include age, weight, health status and type of surgery;

[0094] Establishing a respiratory database, wherein the respiratory database stores individual data of all patients and respiratory data during and after surgery, so as to predict whether the target patient will experience spontaneous breathing during surgery due to insufficient anesthesia depth due to individual differences;

[0095] Based on the respiratory database and the individual data of the target patient, prediction data is generated to predict whether the target patient will experience spontaneous breathing during surgery due to insufficient anesthesia depth due to individual differences;

[0096] According to the predicted data and the respiratory rate of the target patient, the data judgment strategy is used to form judgment data to judge whether the target patient has spontaneous breathing during the operation due to insufficient anesthesia depth;

[0097] According to the judgment data, the data adjustment strategy is used to form adjustment data, so as to timely adjust the anesthesia depth for patients with spontaneous breathing during surgery to keep the patient's breathing stable;

[0098] Based on the respiratory data, data analysis strategies are used to generate analytical data to analyze the respiratory condition of the target patient after surgery, determine whether the target patient has the consciousness of spontaneous breathing after surgery, and thus determine whether mechanical ventilation can be withdrawn to allow the patient to breathe spontaneously;

[0099] Based on the analyzed data, a comparison conclusion is formed through data comparison strategy to determine whether mechanical ventilation can be withdrawn and the patient can breathe spontaneously.

[0100] Through the above method, according to the individual differences of patients, it is predicted whether the patient will change from mechanical ventilation to spontaneous breathing due to insufficient anesthesia depth during the operation, thereby adjusting the frequency of the patient's breathing collected by the respiratory detection equipment during the operation, and judging whether the patient will change from mechanical ventilation to spontaneous breathing according to the changes in the patient's respiratory frequency during the operation, so as to adjust the patient's anesthesia depth during the operation, prevent the patient from breathing poorly during the operation, resulting in complications or sequelae, and prevent the patient from suffering from sequelae due to improper use of anesthetics. According to the patient's postoperative respiratory rate and blood pressure data, it is actively judged whether the patient has a tendency to breathe spontaneously after awakening from anesthesia, so as to determine whether the respiratory equipment can be evacuated, and evacuate the respiratory equipment in time to prevent the patient from becoming dependent on the respiratory equipment, and at the same time reduce the occurrence of respiratory equipment-related complications in the patient.

[0101] Embodiment 2: This embodiment is an improvement made on the basis of embodiment 1. In the anesthesia breathing control method based on breathing monitoring, the establishment of a breathing database is specifically as follows:

[0102] The individual data, operation duration, spontaneous respiratory rate, and mechanical respiratory rate of all patients were obtained and integrated into the first data set;

[0103] The initial anesthesia depth and secondary anesthesia depth of each patient during the operation are obtained and integrated into a second data set. The initial anesthesia depth is the anesthesia depth formed by the patient's first intake of anesthetics by inhalation or other means before or during the operation. When the patient gradually switches from mechanical ventilation to spontaneous breathing due to insufficient initial anesthesia depth during the operation, in order to ensure the patient's stable breathing, the patient's anesthetic content needs to be increased again. The anesthesia depth formed by increasing the anesthetic content again is the secondary anesthesia depth. If the patient has no spontaneous breathing during the operation, it means that the patient's initial anesthesia depth during the operation is sufficient to support the end of the operation and the anesthesia depth is not increased. Therefore, there is no data on the secondary anesthesia depth, and the secondary anesthesia depth is 0 at this time;

[0104] The duration of the initial anesthesia depth and the duration of the secondary anesthesia depth of each patient were extracted separately, which were defined as the initial duration and the secondary duration, respectively, and integrated into the third data set. If the patient had no spontaneous breathing during the operation, it meant that the initial anesthesia depth of the patient during the operation was sufficient to support the end of the operation, and the anesthesia depth was not increased. Therefore, there was no data on the secondary anesthesia depth. At this time, the secondary anesthesia depth was 0, and the secondary duration was 0. The initial duration was the duration from the onset of anesthesia to the failure of anesthesia.

[0105] The first data set, the second data set and the third data set are integrated to form a respiratory database.

[0106] This embodiment also provides that the forming of prediction data is specifically:

[0107] Obtaining individual data of target patients and defining them as target individual data;

[0108] Extract all patients whose target individual data correspond to the respiratory database and define them as target analysis patients;

[0109] The initial anesthesia depth of each target patient was extracted;

[0110] Calculate the target initial anesthesia depth, target initial anesthesia depth = the sum of the initial anesthesia depths of all target analysis patients ÷ the number of target analysis patients;

[0111] Then the target initial anesthesia depth is the target patient’s initial anesthesia depth;

[0112] Extract the initial duration corresponding to the target initial anesthesia depth and set it as the target initial duration;

[0113] The operation duration of each target patient was extracted and analyzed;

[0114] Calculate the target operation time, target operation time = sum of operation time of all target analysis patients ÷ number of target analysis patients;

[0115] If the target initial duration is ≥ the target operation duration, it is predicted that the target patient will always be mechanically ventilated during the operation;

[0116] If the target initial duration is less than the target operation duration, it is predicted that the target patient will have spontaneous breathing during the operation.

[0117] Embodiment 3: This embodiment is an improvement made on the basis of Embodiment 2. In this embodiment, the data determination strategy is specifically as follows:

[0118] Obtaining the mechanical respiratory frequency of each target analysis patient in each respiratory cycle, wherein the respiratory cycle is a cycle formed by starting with inhalation and ending with exhalation;

[0119] Calculate the target mechanical respiratory rate, target mechanical respiratory rate = the sum of the mechanical respiratory rates of all target analysis patients ÷ the number of target analysis patients;

[0120] Control the respiratory equipment so that the target patient is mechanically ventilated at the target mechanical respiratory rate;

[0121] If it is predicted that the target patient is always mechanically ventilated during the operation, the monitoring frequency is obtained, where the monitoring frequency is the frequency at which the respiratory monitoring device collects respiratory data of the target patient. For example, if the monitoring frequency is 1 time / s, the respiratory monitoring device collects respiratory data of the target patient once per second.

[0122] The respiratory rate of the target patient in each respiratory cycle is monitored in real time at a monitoring frequency, which is set as the first monitoring respiratory rate;

[0123] If the first monitored respiratory rate in each respiratory cycle = the target mechanical respiratory rate in each respiratory cycle, it is determined that the patient is breathing normally, that is, each first monitored respiratory rate in each respiratory cycle of the target patient is compared with each target mechanical respiratory rate. If the values ​​of each first monitored respiratory rate and each target mechanical respiratory rate are equal, it means that the patient is breathing with the assistance of a respiratory device and is breathing normally;

[0124] If the first monitored respiratory rate in each respiratory cycle is ≠ the target mechanical respiratory rate in each respiratory cycle, the patient's breathing is judged to be abnormal, and the spontaneous breathing judgment strategy is executed, that is, if there are inconsistent data between all the first monitored respiratory rates in each respiratory cycle of the target patient and all the target mechanical respiratory rates in each respiratory cycle, it means that the patient's respiratory function is in conflict with the respiratory equipment, so the first monitored respiratory rate that is different from the target mechanical respiratory rate data appears. It is necessary to further determine whether the reason for the conflict is that the patient has spontaneous breathing due to insufficient anesthesia depth or the respiratory rate fluctuates due to the influence of some necessary operations during the operation;

[0125] If the target patient is predicted to have spontaneous breathing during the operation, the operation start time point is obtained;

[0126] Calculate the predicted spontaneous breathing time point, predicted spontaneous breathing time point = surgery start time point + [target initial duration × (1-10%)];

[0127] The start time of the operation is taken as the starting time point, and the predicted spontaneous breathing time point is taken as the ending time point, forming the first monitoring period;

[0128] The period between the predicted spontaneous breathing time point and the end of the operation is defined as the second monitoring period;

[0129] During the first monitoring period, the respiratory rate of the target patient in each respiratory cycle is monitored in real time at the monitoring frequency, and is defined as the second monitored respiratory rate;

[0130] If the second monitored respiratory rate in each respiratory cycle = the target mechanical respiratory rate in each respiratory cycle, it is determined that the patient is breathing normally, that is, each second monitored respiratory rate in each respiratory cycle of the target patient is compared with each target mechanical respiratory rate. If the values ​​of each second monitored respiratory rate and each target mechanical respiratory rate are equal, it means that the patient is breathing with the assistance of a respiratory device and is breathing normally;

[0131] If the second monitored respiratory rate in each respiratory cycle is ≠ the target mechanical respiratory rate in each respiratory cycle, the patient's breathing is judged to be abnormal, and the spontaneous breathing judgment strategy is executed, that is, if there are inconsistent data between all the second monitored respiratory rates in each respiratory cycle of the target patient and all the target mechanical respiratory rates in each respiratory cycle, it means that the patient's respiratory function is in conflict with the respiratory equipment, so the first monitored respiratory rate that is different from the target mechanical respiratory rate data appears. It is necessary to further determine whether the reason for the conflict is that the patient has spontaneous breathing due to insufficient anesthesia depth or the respiratory rate fluctuates due to the influence of some necessary operations during the operation;

[0132] Obtaining an adjusted monitoring frequency, where the adjusted monitoring frequency is the frequency at which the respiratory monitoring device intensively collects respiratory data of the target patient. For example, if the adjusted monitoring frequency is 2 times / s, the respiratory monitoring device collects respiratory data of the target patient twice per second, that is, collects respiratory data of the target patient once every 0.5 seconds;

[0133] During the second monitoring period, the respiratory rate of the target patient in each respiratory cycle is monitored in real time by adjusting the monitoring frequency, and the frequency is set as a third monitoring respiratory rate;

[0134] If the third monitored respiratory rate in each respiratory cycle = the target mechanical respiratory rate in each respiratory cycle, it is determined that the patient is breathing normally, that is, each third monitored respiratory rate in each respiratory cycle of the target patient is compared with each target mechanical respiratory rate. If the values ​​of each third monitored respiratory rate and each target mechanical respiratory rate are equal, it means that the patient is breathing with the assistance of a respiratory device and is breathing normally;

[0135] If the third monitored respiratory rate in each respiratory cycle ≠ the target mechanical respiratory rate in each respiratory cycle, the patient's breathing is judged to be abnormal, and the spontaneous breathing judgment strategy is executed. That is, if there are inconsistent data between all the third monitored respiratory rates of the target patient in each respiratory cycle and all the target mechanical respiratory rates in each respiratory cycle, it means that the patient's respiratory function is in conflict with the respiratory equipment, so the first monitored respiratory rate that is different from the target mechanical respiratory rate data appears, and because this monitoring period is the period when the patient is predicted to have spontaneous breathing, it is necessary to further determine whether the reason for the conflict is that the patient has spontaneous breathing due to insufficient anesthesia depth or the respiratory rate fluctuates due to some necessary operations during the operation.

[0136] The spontaneous breathing determination strategy is specifically as follows:

[0137] Acquire a monitored respiratory frequency in each respiratory cycle, wherein the monitored respiratory frequency includes a first monitored respiratory frequency, a second monitored respiratory frequency, and a third monitored respiratory frequency;

[0138] performing a respiratory cycle comparison step;

[0139] If the respiratory rate of the target patient tends to be consistent within the abnormal determination period, it is determined that the patient has switched from mechanical ventilation to spontaneous breathing, and the data adjustment strategy is executed;

[0140] If the respiratory rate of the target patient fluctuates within the abnormal determination period, it is determined that the patient's respiratory abnormality is caused by the surgical operation. At this time, the anesthesia depth of the target patient is not adjusted, and the doctor is prompted that the current patient's breathing is abnormal.

[0141] The step of performing the respiratory cycle comparison is specifically as follows:

[0142] S1, extracting the respiratory cycle of the patient's abnormal breathing and defining it as the initial abnormal cycle;

[0143] Obtaining a collection threshold, wherein the collection threshold is the number of respiratory cycles to be collected and judged from the first abnormal respiratory cycle as the starting respiratory cycle when the patient has abnormal breathing. For example, if the collection threshold is 6, the respiratory frequency of 6 respiratory cycles will be collected and judged from the first abnormal respiratory cycle as the starting respiratory cycle;

[0144] S2, taking the initial abnormal cycle as the initial cycle, acquiring subsequent breathing cycles, defining the breathing cycle as an abnormal determination cycle, the number of abnormal determination cycles being the acquisition threshold, wherein the abnormal determination cycle does not include the initial abnormal cycle;

[0145] The respiratory frequency collected during the abnormal determination period is defined as the abnormal determination respiratory frequency;

[0146] S3. If the number of respiratory cycles in which the abnormal determined respiratory frequency in the abnormal determination period is consistent with the monitored respiratory frequency data of the initial abnormal period is greater than the acquisition threshold × 80%, it is determined that the respiratory frequency of the target patient in the abnormal determination period tends to be consistent;

[0147] S4. If the number of respiratory cycles in which the abnormal determined respiratory frequency within the abnormal determination period is consistent with the monitored respiratory frequency data of the initial abnormal period is ≤ the acquisition threshold × 80%, it is determined that the respiratory frequency of the target patient fluctuates within the abnormal determination period.

[0148] This embodiment also provides that the data adjustment strategy is specifically:

[0149] If it is determined that the patient has switched from mechanical ventilation to spontaneous breathing, the secondary anesthesia depth of each target analysis patient is obtained;

[0150] Calculate the target secondary anesthetic depth, target secondary anesthetic depth = the sum of the secondary anesthetic depths of all target analysis patients ÷ the number of target analysis patients;

[0151] Then the target secondary anesthesia depth is the secondary anesthesia depth of the target patient;

[0152] Adjust the target patient's anesthetic depth to the secondary anesthetic depth.

[0153] Embodiment 4: This embodiment is an improvement made on the basis of Embodiment 3. In this embodiment, the data analysis strategy is specifically as follows:

[0154] Obtain the target patient's surgery completion time point, which is set as the anesthesia awakening determination time point;

[0155] Obtain the spontaneous respiratory rate of the target patient in each respiratory cycle before the operation, and define it as the preoperative respiratory rate;

[0156] Taking the time point of anesthesia awakening as the starting time point, the spontaneous respiratory rate of the target patient in each respiratory cycle after surgery is collected in real time and determined as the postoperative respiratory rate;

[0157] The preoperative respiratory rate in each respiratory cycle = the postoperative respiratory rate in each respiratory cycle is defined as the first determination result, that is, if all preoperative respiratory rates in each respiratory cycle of the target patient are consistent with all postoperative respiratory rates in each respiratory cycle, it means that the patient has spontaneous breathing;

[0158] Obtain the target patient's preoperative blood oxygen saturation, blood pressure, and heart rate, and integrate them into preoperative respiratory data;

[0159] Taking the time point of anesthesia awakening as the starting time point, the postoperative blood oxygen saturation, blood pressure and heart rate of the target patient are collected in real time and integrated into postoperative respiratory data;

[0160] The preoperative respiratory data = postoperative respiratory data is determined as the second determination result, that is, each preoperative respiratory data of the target patient is consistent with each postoperative respiratory data, which indicates that the patient's respiratory function begins to recover.

[0161] This embodiment also provides that the data comparison strategy is specifically:

[0162] Obtaining a first determination result and a second determination result;

[0163] If both the first determination result and the second determination result are satisfied, it means that the target patient is able to breathe spontaneously;

[0164] Then the respiratory device is controlled to be disconnected, so that the target patient can breathe spontaneously;

[0165] If the first judgment result or the second judgment result is met, it means that the target patient has a tendency to breathe spontaneously;

[0166] Push manual judgment and diagnosis opinions to doctors, and determine whether to evacuate the respiratory equipment based on the doctor's manual diagnosis conclusion;

[0167] If both the first judgment result and the second judgment result are not satisfied, it means that the target patient cannot breathe spontaneously;

[0168] The respiratory device continues to be controlled so that the target patient is mechanically ventilated at the target mechanical respiratory rate.

[0169] In this embodiment, based on individual differences of patients, it is predicted whether the patient will change from mechanical ventilation to spontaneous breathing due to insufficient anesthesia depth during the operation, thereby adjusting the frequency of the patient's breathing collection by the respiratory detection equipment during the operation, and judging whether the patient will change from mechanical ventilation to spontaneous breathing according to the changes in the patient's respiratory frequency during the operation, thereby adjusting the patient's anesthesia depth during the operation, preventing the patient from having complications or sequelae due to poor breathing during the operation, and preventing the patient from having sequelae due to improper use of anesthetics, and actively judging whether the patient has a tendency to breathe spontaneously after waking up from anesthesia according to the patient's postoperative respiratory rate, blood pressure and other data, thereby determining whether the respiratory equipment can be evacuated, and evacuating the respiratory equipment in time to prevent the patient from becoming dependent on the respiratory equipment, and at the same time reducing the incidence of respiratory equipment-related complications in the patient.

Claims

1. An anesthetic breathing control method based on respiratory monitoring, characterized in that: include: Acquire respiratory data and individual data of target patients; The respiratory data includes respiratory rate, blood oxygen saturation, blood pressure and heart rate; The individual data include age, weight, health status and type of surgery; Establishing a respiratory database, wherein the respiratory database stores individual data of all patients and respiratory data during and after surgery, so as to predict whether the target patient will experience spontaneous breathing during surgery due to insufficient anesthesia depth due to individual differences; Based on the respiratory database and the individual data of the target patient, prediction data is generated to predict whether the target patient will experience spontaneous breathing during surgery due to insufficient anesthesia depth due to individual differences; According to the predicted data and the respiratory rate of the target patient, the data judgment strategy is used to form judgment data to judge whether the target patient has spontaneous breathing during the operation due to insufficient anesthesia depth; According to the judgment data, the data adjustment strategy is used to form adjustment data, so as to timely adjust the anesthesia depth for patients with spontaneous breathing during surgery to keep the patient's breathing stable; Based on the respiratory data, data analysis strategies are used to generate analytical data to analyze the respiratory condition of the target patient after surgery, determine whether the target patient has the consciousness of spontaneous breathing after surgery, and thus determine whether mechanical ventilation can be withdrawn to allow the patient to breathe spontaneously; Based on the analyzed data, a comparison conclusion is formed through data comparison strategy to determine whether mechanical ventilation can be withdrawn and the patient can breathe spontaneously.

2. The anesthesia breathing control method based on respiratory monitoring according to claim 1, characterized in that: The establishment of a respiratory database is specifically as follows: The individual data, operation duration, spontaneous respiratory rate, and mechanical respiratory rate of all patients were obtained and integrated into the first data set; The initial anesthesia depth and the secondary anesthesia depth of each patient during the operation were obtained and integrated into the second data set; The duration of the initial anesthesia depth and the duration of the secondary anesthesia depth of each patient were extracted and respectively defined as the initial duration and the secondary duration, and integrated into the third data set; The first data set, the second data set and the third data set are integrated to form a respiratory database.

3. The anesthesia breathing control method based on respiratory monitoring according to claim 2, characterized in that: The forming of prediction data is specifically: Obtaining individual data of target patients and defining them as target individual data; Extract all patients whose target individual data correspond to the respiratory database and define them as target analysis patients; The initial anesthesia depth of each target patient was extracted; Calculate the target initial anesthesia depth, target initial anesthesia depth = the sum of the initial anesthesia depths of all target analysis patients ÷ the number of target analysis patients; Then the target initial anesthesia depth is the target patient’s initial anesthesia depth; Extract the initial duration corresponding to the target initial anesthesia depth and set it as the target initial duration; The operation duration of each target patient was extracted and analyzed; Calculate the target operation time, target operation time = sum of operation time of all target analysis patients ÷ number of target analysis patients; If the target initial duration is ≥ the target operation duration, it is predicted that the target patient will always be mechanically ventilated during the operation; If the target initial duration is less than the target operation duration, it is predicted that the target patient will have spontaneous breathing during the operation.

4. The anesthesia breathing control method based on respiratory monitoring according to claim 1, characterized in that: The data determination strategy is specifically as follows: Obtain the mechanical respiratory rate of each target patient in each respiratory cycle; Calculate the target mechanical respiratory rate, target mechanical respiratory rate = the sum of the mechanical respiratory rates of all target analysis patients ÷ the number of target analysis patients; Control the respiratory equipment so that the target patient is mechanically ventilated at the target mechanical respiratory rate; If the target patient is predicted to be mechanically ventilated throughout the operation, the monitoring frequency is obtained; The respiratory rate of the target patient in each respiratory cycle is monitored in real time at a monitoring frequency, which is set as the first monitoring respiratory rate; If the first monitored respiratory rate in each respiratory cycle = the target mechanical respiratory rate in each respiratory cycle, it is determined that the patient's breathing is normal; If the first monitored respiratory rate in each respiratory cycle is ≠ the target mechanical respiratory rate in each respiratory cycle, the patient's breathing is judged to be abnormal, and the spontaneous breathing judgment strategy is executed; If the target patient is predicted to have spontaneous breathing during the operation, the operation start time point is obtained; Calculate the predicted spontaneous breathing time point, predicted spontaneous breathing time point = surgery start time point + [target initial duration × (1-10%)]; The start time of the operation is taken as the starting time point, and the predicted spontaneous breathing time point is taken as the ending time point, forming the first monitoring period; The period between the predicted spontaneous breathing time point and the end of the operation is defined as the second monitoring period; During the first monitoring period, the respiratory rate of the target patient in each respiratory cycle is monitored in real time at the monitoring frequency, and is defined as the second monitored respiratory rate; If the second monitored respiratory rate in each respiratory cycle = the target mechanical respiratory rate in each respiratory cycle, it is determined that the patient's breathing is normal; If the second monitored respiratory rate in each respiratory cycle is ≠ the target mechanical respiratory rate in each respiratory cycle, the patient's breathing is judged to be abnormal, and the spontaneous breathing judgment strategy is executed; Get the adjustment monitoring frequency; In the second monitoring period, the respiratory frequency of the target patient in each respiratory cycle is monitored in real time by adjusting the monitoring frequency, and the frequency is determined as a third monitoring respiratory frequency; If the third monitored respiratory rate in each respiratory cycle = the target mechanical respiratory rate in each respiratory cycle, it is determined that the patient's breathing is normal; If the third monitored respiratory rate in each respiratory cycle is ≠ the target mechanical respiratory rate in each respiratory cycle, the patient's breathing is determined to be abnormal, and the spontaneous breathing determination strategy is executed.

5. The anesthesia breathing control method based on respiratory monitoring according to claim 4, characterized in that: The spontaneous breathing determination strategy is specifically: Acquire a monitored respiratory frequency in each respiratory cycle, wherein the monitored respiratory frequency includes a first monitored respiratory frequency, a second monitored respiratory frequency, and a third monitored respiratory frequency; performing a respiratory cycle comparison step; If the respiratory rate of the target patient tends to be consistent within the abnormal determination period, it is determined that the patient has switched from mechanical ventilation to spontaneous breathing, and the data adjustment strategy is executed; If the respiratory rate of the target patient fluctuates within the abnormal determination period, it is determined that the patient's respiratory abnormality is caused by the surgical operation. At this time, the anesthesia depth of the target patient is not adjusted, and the doctor is prompted that the current patient's breathing is abnormal.

6. The anesthesia breathing control method based on respiratory monitoring according to claim 5, characterized in that: The step of performing the respiratory cycle comparison is specifically as follows: S1, extracting the respiratory cycle of the patient's abnormal breathing and defining it as the initial abnormal cycle; Get the collection threshold; S2, taking the initial abnormal cycle as the starting cycle, obtaining subsequent breathing cycles, defining the breathing cycle as the abnormal determination cycle, and the number of abnormal determination cycles as the acquisition threshold; The respiratory frequency collected during the abnormal determination period is defined as the abnormal determination respiratory frequency; S3. If the number of respiratory cycles in which the abnormal determined respiratory frequency in the abnormal determination period is consistent with the monitored respiratory frequency data of the initial abnormal period is greater than the acquisition threshold × 80%, it is determined that the respiratory frequency of the target patient in the abnormal determination period tends to be consistent; S4. If the number of respiratory cycles in which the abnormal determined respiratory frequency within the abnormal determination period is consistent with the monitored respiratory frequency data of the initial abnormal period is ≤ the acquisition threshold × 80%, it is determined that the respiratory frequency of the target patient fluctuates within the abnormal determination period.

7. The anesthesia breathing control method based on respiratory monitoring according to claim 6, characterized in that: The data adjustment strategy is specifically as follows: If it is determined that the patient has switched from mechanical ventilation to spontaneous breathing, the secondary anesthesia depth of each target analysis patient is obtained; Calculate the target secondary anesthetic depth, target secondary anesthetic depth = the sum of the secondary anesthetic depths of all target analysis patients ÷ the number of target analysis patients; Then the target secondary anesthesia depth is the secondary anesthesia depth of the target patient; Adjust the target patient's anesthetic depth to the secondary anesthetic depth.

8. The anesthesia breathing control method based on respiratory monitoring according to claim 1, characterized in that: The data analysis strategy is specifically as follows: Obtain the target patient's surgery completion time point, which is set as the anesthesia awakening determination time point; Obtain the spontaneous respiratory rate of the target patient in each respiratory cycle before the operation, and define it as the preoperative respiratory rate; Taking the time point of anesthesia awakening as the starting time point, the spontaneous respiratory rate of the target patient in each respiratory cycle after surgery is collected in real time and determined as the postoperative respiratory rate; The preoperative respiratory frequency in each respiratory cycle is equal to the postoperative respiratory frequency in each respiratory cycle, which is determined as the first determination result; Obtain the target patient's preoperative blood oxygen saturation, blood pressure, and heart rate, and integrate them into preoperative respiratory data; Taking the time point of anesthesia awakening as the starting time point, the postoperative blood oxygen saturation, blood pressure and heart rate of the target patient are collected in real time and integrated into postoperative respiratory data; The pre-operative respiratory data = post-operative respiratory data is determined as the second determination result.

9. The anesthesia breathing control method based on respiratory monitoring according to claim 8, characterized in that: The data comparison strategy is specifically as follows: Obtaining a first determination result and a second determination result; If both the first determination result and the second determination result are satisfied, it means that the target patient is able to breathe spontaneously; Then the respiratory device is controlled to be disconnected, so that the target patient can breathe spontaneously; If the first judgment result or the second judgment result is met, it means that the target patient has a tendency to breathe spontaneously; Push manual judgment and diagnosis opinions to doctors, and determine whether to evacuate the respiratory equipment based on the doctor's manual diagnosis conclusion; If both the first judgment result and the second judgment result are not satisfied, it means that the target patient cannot breathe spontaneously; The respiratory device continues to be controlled so that the target patient is mechanically ventilated at the target mechanical respiratory rate.

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