Method for analyzing post-operative physiological data of a patient and acquisition device

Abstract

The application provides a postoperative physiological data analysis method and a collection device, and relates to the technical field of information processing. The method collects postoperative physiological data of a patient through a collection device, so that a patient's exhaust identification and pose change identification can be generated according to the exhaust time and pose data of the collected physiological data, and then warning information can be generated based on the exhaust identification and the pose change identification. Through the warning information, medical staff can be reminded to help the patient to exhaust in time, and the occurrence of postoperative complications of the patient can be reduced. The method can automatically monitor the exhaust and pose data of the patient through the collection device, can help the medical staff to accurately and timely master the physiological change condition of the patient after the operation, and avoids false reports or omissions caused by the patient's active reporting of physiological data. Based on the provided physiological data analysis method, warning information can be generated, so as to help the medical staff to timely intervene in the abnormal condition of the patient after the operation, and reduce the occurrence of surgical complications.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of information processing, in particular to a postoperative physiological data analysis method and a collection device. BACKGROUND

[0002] In medicine, anal exhaust is generally used as a sign of complete remission of gastrointestinal dysfunction in postoperative patients. If the patient has not exhausted after the end of the operation for more than a preset time, it may mean that there is a certain postoperative complication, which may cause organ dysfunction and affect the patient's postoperative recovery. Therefore, monitoring the postoperative exhaust condition of the patient can help doctors make timely auxiliary judgments.

[0003] In the prior art, the patient usually actively reports the exhaust condition to the doctor after exhaust, but this method is easy to cause information reporting errors due to the patient's negligence, thereby affecting the doctor's judgment. SUMMARY

[0004] The purpose of the present application is to overcome the deficiencies in the prior art, and to provide a postoperative physiological data analysis method and a collection device, so as to realize intelligent monitoring and early warning analysis of physiological data and avoid the occurrence of postoperative complications.

[0005] To achieve the above purpose, the technical solutions adopted by the embodiments of the present application are as follows:

[0006] In a first aspect, the embodiments of the present application provide a postoperative physiological data analysis method applied to an electronic device, wherein the electronic device is in communication connection with a collection device, the collection device is used to connect the exhaust organ of a patient, the collection device includes a gas sensor and a pose sensor, and the method includes:

[0007] Real-time collection of physiological data of the patient within a preset time range after the operation by the collection device, wherein the physiological data includes exhaust time and pose data;

[0008] Generating an exhaust identifier and a pose change identifier of the patient according to the postoperative physiological data;

[0009] Generating an early warning information according to the exhaust identifier and the pose change identifier, wherein the early warning information is used to prompt medical staff to assist in exhaust.

[0010] Optionally, the generating of the exhaust identifier and the pose change identifier of the patient according to the postoperative physiological data includes:

[0011] Generating the exhaust identifier of the patient according to the exhaust time and a preset exhaust time threshold corresponding to a target disease, wherein the exhaust identifier includes any one of the following: no exhaust, exhaust timeout warning, and exhaust;

[0012] According to the collected posture data at each time, posture change data in a continuous time period is counted, the posture change data including: the number of lying positions, the number of standing positions, and the average holding time of standing positions;

[0013] According to the posture change data in the continuous time period, a posture change identifier of the patient is generated, the posture change identifier including any one of: no posture change and posture change.

[0014] Optionally, the pre-warning information is generated according to the exhaust identifier and the posture change identifier, including:

[0015] If the exhaust identifier indicates no exhaust or exhaust timeout pre-warning, and the posture change identifier indicates no posture change, first pre-warning information is generated and sent to a medical staff client, the first pre-warning information being used to prompt the medical staff to assist the patient in adjusting the posture.

[0016] Optionally, the pre-warning information is generated according to the exhaust identifier and the posture change identifier, including:

[0017] If the exhaust identifier indicates no exhaust or exhaust timeout pre-warning, and the posture change identifier indicates posture change, second pre-warning information is generated and sent to the medical staff client, the second pre-warning information being used to prompt the medical staff to assist the patient in exhaust by using other treatment methods.

[0018] Optionally, the method further includes:

[0019] Postoperative exhaust time of each patient suffering from a target disease and having natural exhaust is collected.

[0020] According to the postoperative exhaust time of each patient and the postoperative posture change data, average values of the posture change data in different time periods after the operation are determined in sequence.

[0021] Optionally, the method further includes:

[0022] According to the postoperative exhaust treatment method of the patient, whether the exhaust method of the patient is natural exhaust is determined.

[0023] If the patient is natural exhaust, the patient is marked for posture change abnormality according to the posture change data of the patient and the average values of the posture change data.

[0024] Optionally, the method further includes:

[0025] Collect basic information of each patient with the target disease, the basic information including: identity information, operation information, anesthesia use information, postoperative exhaust treatment information, and postoperative position change data;

[0026] Generate a feature analysis result of the target disease according to the basic information of each patient and postoperative exhaust identification of each patient, the feature analysis result being used to indicate an influencing factor of postoperative exhaust.

[0027] In a second aspect, the embodiments of the present application further provide a collection device, comprising: a device body, a gas sensor, a position sensor, a signal transmitter, and an alarm device being arranged in the device body; the gas sensor and the position sensor are in communication connection with the signal transmitter; the signal transmitter is in communication connection with an electronic device; the gas sensor is further in communication connection with the alarm device;

[0028] Two ends of the device body are respectively provided with an upper trachea interface and a lower trachea interface which are in communication with the inside of the device body, and the upper trachea interface is used to connect an exhaust organ of a patient;

[0029] The alarm device is used to trigger an alarm when a change in the signal of the gas sensor is detected;

[0030] The signal transmitter is used to transmit the exhaust time sent by the gas sensor and the position data sent by the position sensor to the electronic device.

[0031] Optionally, the device body is a hollow shell, and the position sensor is fixed to an inner wall of the shell;

[0032] The position sensor comprises an insulating shell, and the insulating shell comprises a hollow conductor and a spherical conductor;

[0033] The hollow conductor has a plurality of continuous circular arc inner walls inside, and the spherical conductor is located inside the hollow conductor and stays at different circular arc inner walls according to the position of the patient;

[0034] Optionally, the device further comprises a charging device, and the charging device is in communication connection with the gas sensor, the position sensor, the signal transmitter, and the alarm device respectively.

[0035] In a third aspect, the embodiments of the present application further provide a physiological data analysis device for a patient after operation, applied to an electronic device, the electronic device being in communication connection with a collection device, the collection device being used to connect an exhaust organ of a patient, the collection device comprising: a gas sensor and a position sensor, and the device comprising: a collection module and a generation module;

[0036] The collection module is configured to collect physiological data of the patient within a preset time range after the surgery in real time through the collection device, and the physiological data includes exhaust time and posture data.

[0037] The generation module is configured to generate an exhaust identification and a posture change identification of the patient according to the postoperative physiological data.

[0038] The generation module is configured to generate early warning information according to the exhaust identification and the posture change identification, and the early warning information is used to prompt medical staff to assist in exhaust.

[0039] Optionally, the generation module is specifically configured to generate the exhaust identification of the patient according to the exhaust time and a preset exhaust time threshold corresponding to the target disease, and the exhaust identification includes any one of the following: no exhaust, exhaust timeout warning, and exhaust.

[0040] According to the posture data collected at each time, posture change data in a continuous time period is counted, and the posture change data includes the number of sitting and lying positions, the number of standing positions, and the average holding time of standing positions.

[0041] According to the posture change data in the continuous time period, the posture change identification of the patient is generated, and the posture change identification includes any one of the following: no posture change and posture change.

[0042] Optionally, the generation module is specifically configured to generate first early warning information and send the first early warning information to a medical staff client if the exhaust identification indicates no exhaust or exhaust timeout warning and the posture change identification indicates no posture change, and the first early warning information is used to prompt the medical staff to assist the patient in adjusting the posture.

[0043] Optionally, the generation module is specifically configured to generate second early warning information and send the second early warning information to a medical staff client if the exhaust identification indicates no exhaust or exhaust timeout warning and the posture change identification indicates posture change, and the second early warning information is used to prompt the medical staff to assist the patient in exhaust by using other treatment methods.

[0044] Optionally, the device further includes a determination module.

[0045] The collection module is further configured to collect postoperative exhaust time of each patient who has the target disease and adopts natural exhaust.

[0046] The determination module is configured to determine the average value of the posture change data in different time periods after the surgery in sequence according to the postoperative exhaust time of each patient and postoperative posture change data.

[0047] Optionally, the determining module is specifically configured to determine whether the patient is in natural exhaust according to a postoperative exhaust treatment mode of the patient.

[0048] If the patient is in natural exhaust, the patient is marked as having an abnormal posture change according to the posture change data of the patient and an average value of the posture change data.

[0049] Optionally, the collecting module is further configured to collect basic information of each patient with the target disease, the basic information including identity information, surgery information, anesthesia use information, postoperative exhaust treatment information, and postoperative posture change data.

[0050] The determining module is configured to generate a feature analysis result of the target disease according to the basic information of each patient and the postoperative exhaust identification of each patient, the feature analysis result being used to indicate an influencing factor of postoperative exhaust.

[0051] In a fourth aspect, an electronic device is provided, including a processor, a storage medium, and a bus. The storage medium stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the storage medium through the bus. The processor executes the machine-readable instructions to perform the steps of the method provided in the first aspect.

[0052] In a fifth aspect, a computer-readable storage medium is provided. The storage medium stores a computer program. When the computer program is run by a processor, the steps of the method provided in the first aspect are performed.

[0053] The present application has the following beneficial effects:

[0054] The present application provides a postoperative physiological data analysis method and a collecting device. The method collects physiological data of a patient after surgery through the collecting device, so that an exhaust identification and a posture change identification of the patient can be generated according to exhaust time and posture data of the collected physiological data, and then warning information can be generated based on the exhaust identification and the posture change identification. The warning information can remind medical staff to help the patient exhaust in time, thereby reducing the occurrence of postoperative complications. The method automatically monitors the exhaust and posture data of the patient through the collecting device, which can help medical staff accurately and timely master the physiological changes of the patient after surgery, avoid false or missed reports caused by the patient actively reporting physiological change information, and generate warning information based on the provided physiological data analysis method, thereby helping medical staff to intervene in the abnormal situation of the patient after surgery in time, effectively improving the postoperative recovery ability of the patient, and reducing the occurrence of surgical complications.

[0055] In addition, by collecting basic information of the patient, and combining with the posture change of the patient during the postoperative recovery period, the related factors affecting the patient's exhaust can be comprehensively analyzed, and real world evidence data support can be provided for clinical research, physical therapy, drug research, etc. BRIEF DESCRIPTION OF DRAWINGS

[0056] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly introduced as follows. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can also be obtained without creative labor on the basis of these drawings.

[0057] Figure 1 Flowchart of the postoperative physiological data analysis method provided by the embodiment of the present application Figure 1 ;

[0058] Figure 2 Flowchart of the postoperative physiological data analysis method provided by the embodiment of the present application Figure 2 ;

[0059] Figure 3 Flowchart of the postoperative physiological data analysis method provided by the embodiment of the present application Figure 3 ;

[0060] Figure 4 Flowchart of the postoperative physiological data analysis method provided by the embodiment of the present application Figure 4 ;

[0061] Figure 5 An information display schematic diagram provided by the embodiment of the present application;

[0062] Figure 5 Flowchart of the postoperative physiological data analysis method provided by the embodiment of the present application Figure 6 ;

[0063] Figure 6 Structural schematic diagram of a collection device provided by the embodiment of the present application;

[0064] Data name Structural schematic diagram of a posture sensor provided by the embodiment of the present application;

[0065] Explanation Cross-sectional schematic diagram of a posture sensor provided by the embodiment of the present application;

[0066] Patient ID Bottom arc cutting schematic diagram of a hollow conductor in a posture sensor provided by the embodiment of the present application;

[0067] Patient ID A schematic diagram of a patient postoperative physiological data analysis device provided by an embodiment of the present application is shown in FIG. 1.

[0068] Hospital number A structural schematic diagram of an electronic device provided by an embodiment of the present application is shown in FIG. 4.

[0069] Reference signs: device body-100; gas sensor-10; position sensor-11; insulating shell-11a; hollow conductor-11b; spherical conductor-11c; signal transmitter-12; alarm device-13; upper trachea interface-14; lower trachea interface-15; charging device-16; device total switch-17; installation reference line-18. DETAILED DESCRIPTION

[0070] In order to make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. It should be understood that the drawings in the present application only serve the purpose of description and illustration, and are not used to limit the scope of protection of the present application. In addition, it should be understood that the schematic drawings are not drawn according to the actual proportions. The flowcharts in the present application show the operations implemented according to some embodiments of the present application. It should be understood that the operations of the flowcharts can not be implemented in sequence, and the steps without logical context relationship can be reversed in sequence or implemented simultaneously. In addition, one or more other operations can be added to the flowcharts or one or more operations can be removed from the flowcharts under the guidance of the content of the present application.

[0071] In addition, the described embodiments are only some of the embodiments of the present application, not all the embodiments. The components of the embodiments of the present application described and shown in the drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0072] It should be noted that the term “comprising” will be used in the embodiments of the present application to indicate the presence of the features declared thereafter, but does not exclude the addition of other features.

[0073] The exhaust is an important time node after the operation of the patient, and the anus exhaust is generally used as a sign of complete remission of gastrointestinal dysfunction after operation in medicine. Due to the influence of factors such as operation, operation method and anesthesia method on the recovery of gastrointestinal function after operation, most patients will normally exhaust within 6 to 48 hours after operation. If the patient has not exhausted for more than 48 hours after the operation, it may mean that the patient has postoperative complications such as intestinal adhesion and intestinal obstruction, which may cause multiple organ dysfunction, affect the postoperative recovery of the patient, increase the hospitalization cost and hospitalization time, and bring burden to the individual, family and society.

[0074] Accurate identification of the first exhaust time of the patient after the operation is the key to improving the quality of diagnosis and treatment of the doctor, and can provide a more scientific, reliable and accurate research basis for related medical research. However, in the existing clinical practice, whether the patient exhausts mainly depends on the patient's self-perception, and often due to objective factors such as the patient's unawareness, the identification time of the first exhaust of the anus is missed, which affects the doctor's judgment of the disease.

[0075] Based on this, the present scheme aims to provide a patient postoperative physiological data analysis method, which uses Internet of Things sensing technology to monitor the exhaust state and position change of the patient in real time, generates warning information to prompt medical staff to help the patient who has not exhausted for a long time to adjust the position, help exhaust, or also can be treated by intervention medicine, to help the patient to exhaust in time, so as to avoid the occurrence of postoperative complications.

[0076] Hospital number Flowchart of patient postoperative physiological data analysis method provided by the embodiment of the present application Anesthesia method code The execution subject of the method can be a server, a computer or other electronic equipment used in a medical system. In some embodiments, the electronic equipment can be in communication connection with a collection device, and the collection device is used to connect with the exhaust organ of the patient to collect the physiological data of the patient. The collection device can include a gas sensor and a position sensor to collect exhaust data and position data of the patient respectively. The collected exhaust data and position data of the patient can be sent to the electronic equipment, so that the electronic equipment can perform calculation and analysis to generate warning information.

[0077] As shown in Anesthesia method code , the method can include:

[0078] S101, collecting the physiological data of the patient in a preset time range after the operation in real time by a collection device, and the physiological data includes exhaust time and position data.

[0079] Optionally, the collection device can be connected to the exhaust organ of the patient to collect the physiological data. In this embodiment, the detection of the anus exhaust of the patient after the operation is mainly performed, so that the collection device can be connected to the anus of the patient.

[0080] Generally, the monitoring of postoperative exhaust is to be monitored for a preset time range, and when the preset time range is exceeded, the monitoring of exhaust is not meaningful, so when collecting the postoperative physiological data of the patient, the physiological data of the patient within the preset time range after the operation can be collected.

[0081] And because the postoperative standard exhaust time corresponding to different operation types can be different, for example, the postoperative standard exhaust time corresponding to a first type of operation is 48 hours, that is, the patient needs to exhaust within 48 hours, and if the exhaust is not within 48 hours, there can be complications of the operation, then for this type of operation, the physiological data of the patient within the preset time range (within 48 hours) can be collected to monitor the exhaust condition. The postoperative standard exhaust time corresponding to a second type of operation is 60 hours, that is, the patient needs to exhaust within 60 hours, and if the exhaust is not within 60 hours, there can be complications of the operation, then for this type of operation, the physiological data of the patient within the preset time range (within 60 hours) can be collected.

[0082] Optionally, the physiological data collected in the embodiment can include: exhaust time and posture data. Through the gas sensor in the collection device, when the patient exhausts, the gas sensor can immediately monitor the exhaust, so that the exhaust time of the patient can be determined according to the current exhaust time and the operation end time. The posture data of the patient can be detected by the posture sensor to analyze the posture change of the patient.

[0083] S102, generating an exhaust identifier and a posture change identifier of the patient according to the postoperative physiological data.

[0084] Optionally, the exhaust time can refer to the time of postoperative exhaust of the patient, for example: the exhaust time is 16 hours, that is, the patient exhausts at 16 hours after the operation. Among them, the exhaust time can be calculated according to the operation end time and the time of monitoring the exhaust. For example, the operation end time is January 20, 2022 12:30, and the time of monitoring the exhaust is January 21, 2022 10:00, then the exhaust time can be calculated as: 22 hours 30 minutes, that is, the patient exhausts at 22 hours 30 minutes after the operation.

[0085] Optionally, according to the exhaust time of the patient, the exhaust identifier of the patient can be generated, and the exhaust identifier is used to represent whether the patient exhausts within the standard exhaust time.

[0086] Generally, appropriate postoperative movement and turning over can also help the patient to exhaust in time, and according to the collected posture data, whether the posture of the patient changes can be judged, so as to generate a posture change identifier, and the posture change identifier is used to represent whether the patient has not changed the posture for a long time.

[0087] S103, generating a warning information according to the exhaust identification and the pose change identification, the warning information being used to prompt medical staff to assist in exhaust.

[0088] Optionally, in combination with the exhaust identification and the pose change identification, the warning information can be generated and sent to a mobile terminal of the medical staff, a medical staff workstation or a nursing monitoring large screen to remind the medical staff to help the patient to exhaust in time to avoid postoperative complications.

[0089] In summary, the postoperative physiological data analysis method provided by the embodiment can collect physiological data of the patient after surgery through a collection device, and can generate exhaust identification and pose change identification of the patient according to exhaust time and pose data of the collected physiological data. Then, the warning information can be generated based on the exhaust identification and the pose change identification, and the medical staff can be reminded in time to help the patient to exhaust through the warning information, thereby reducing the occurrence of postoperative complications. The method can automatically monitor the exhaust and pose data of the patient through the collection device, which can help the medical staff to accurately and timely master the physiological changes of the patient after surgery, avoid false reports or omissions caused by the patient's active reporting of physiological change information, and based on the provided physiological data analysis method, the warning information can be generated to help the medical staff to intervene in time in the abnormal situation of the patient after surgery, effectively improve the recovery ability of the patient after surgery, and reduce the occurrence of surgical complications.

[0090] Anesthesia drug name Flowchart of the postoperative physiological data analysis method provided by the embodiment Anesthesia drug name Optionally, in step S102, the exhaust identification and the pose change identification of the patient can be generated according to the postoperative physiological data, which can include:

[0091] S201, generating the exhaust identification of the patient according to the exhaust time and a preset exhaust time threshold corresponding to the target disease, the exhaust identification including any of the following: no exhaust, exhaust timeout warning, and exhaust.

[0092] Optionally, since the preset exhaust time threshold corresponding to different surgeries is different, the exhaust identification of the patient can be generated according to the exhaust time of the patient after the target disease and the preset exhaust time threshold corresponding to the target disease.

[0093] According to the exhaust time of the patient, if the patient exhausts within the preset exhaust time threshold, the exhaust identification is generated as exhaust; if the patient does not exhaust within the preset exhaust time threshold (less than or equal to the preset exhaust time threshold), the exhaust identification is generated as no exhaust; and if the patient does not exhaust when the preset exhaust time threshold is exceeded (greater than the preset exhaust time threshold), the exhaust identification is generated as exhaust timeout warning.

[0094] For example, the preset exhaust time threshold is 48 hours. If it is determined according to the collected exhaust time of the patient that the patient exhausts within 48 hours, an exhaust identification is generated as having exhausted. If it is determined that the patient has not exhausted within 48 hours, an exhaust identification is generated as not having exhausted. If the patient has not exhausted for more than 48 hours, an exhaust identification is generated as exhaust timeout warning.

[0095] S202, according to the collected posture data at each time, the posture change data in the continuous time period is counted, and the posture change data includes the number of sitting and lying positions, the number of standing positions, and the average holding time of standing positions.

[0096] Optionally, the posture change data of the patient in the continuous time period can be counted according to the collected posture data at each time. Since each time corresponds to a posture, and different times are continuous to generate a posture change state.

[0097] Generally, the posture can include supine position, left lateral position, right lateral position, sitting and lying position, prone position, standing position, etc., and in this embodiment, the sitting and lying position and the standing position are focused on. The number of sitting and lying positions, the number of standing positions and the average holding time of standing positions in the continuous time period can be counted according to the posture data at each time.

[0098] S203, according to the posture change data in the continuous time period, a posture change identification of the patient is generated, and the posture change identification includes any of the following: posture does not change, posture changes.

[0099] Optionally, whether the number of posture changes of the patient in the continuous time period meets a preset number can be determined according to the posture change data in the continuous time period, so as to generate the posture change identification of the patient in different continuous time periods. If the number of changes does not meet the preset number, the posture change identification can be generated as: posture does not change, otherwise the posture change identification can be generated as posture changes.

[0100] Table 1 is a physiological data record table of the collected patient:

[0101] Table 1

[0102]

[0103]

[0104] The related physiological data of the patient that can be collected is recorded in detail in Table 1, part of which is not used in the above calculation and analysis process, but can be collected and recorded at the time of collection, so as to facilitate other applications in the later period.

[0105] Optionally, in step S103, the pre-warning information is generated according to the exhaust identification and the pose change identification, which can include: if the exhaust identification indicates no exhaust or exhaust timeout pre-warning, and the pose change identification indicates no pose change, a first pre-warning information is generated and sent to the medical staff client, and the first pre-warning information is used to prompt the medical staff to assist the patient to adjust the pose.

[0106] In an optional embodiment, when the exhaust identification indicates that the patient has not exhausted or exhaust timeout pre-warning, and the pose change identification indicates that the patient's pose has not changed, the first pre-warning information generated can be used to prompt the medical staff to assist the patient to adjust the pose.

[0107] In this case, it can be considered first whether the patient has not exhausted because the patient's pose has not changed for a long time, and then the first pre-warning information is used to prompt the medical staff to adjust the patient's pose first to help the patient to exhaust.

[0108] Optionally, in step S103, the pre-warning information is generated according to the exhaust identification and the pose change identification, which can include: if the exhaust identification indicates no exhaust or exhaust timeout pre-warning, and the pose change identification indicates that the pose has changed, a second pre-warning information is generated and sent to the medical staff's mobile terminal, and the second pre-warning information is used to prompt the medical staff to assist the patient to exhaust by other treatment methods.

[0109] In other embodiments, when the exhaust identification indicates that the patient has not exhausted or exhaust timeout pre-warning, and the pose change identification indicates that the patient's pose has changed, it can be excluded that the patient has not exhausted because the patient's pose has not changed. Therefore, the second pre-warning information can be generated, and the second pre-warning information is used to prompt the medical staff to assist the patient to exhaust by other treatment methods.

[0110] As shown in Table 1, the patient can be helped to exhaust in time by drug exhaust, physical exhaust and the like. If the patient uses physical exhaust or drug exhaust during the exhaust process, it can be recorded in time for subsequent analysis.

[0111] Anesthesia position Flowchart of the patient postoperative physiological data analysis method provided by the embodiments of the present application Anesthesia position Optionally, the method of the present application can further include:

[0112] S301, collecting postoperative exhaust time of each patient with a target disease and natural exhaust.

[0113] Optionally, for patients who have undergone the same operation, the postoperative exhaust time of each patient who exhausts naturally can be determined by the recorded exhaust method of the patient.

[0114] The exhaust mode can be divided into three types: natural exhaust, physical exhaust and drug exhaust. The exhaust of patients without any physical exhaust and drug exhaust is natural exhaust. The exhaust mode of each patient is recorded, and the natural exhaust of each patient can be determined according to the record, and the postoperative exhaust time of each natural exhaust patient is collected.

[0115] S302, according to the postoperative exhaust time of each patient and the postoperative posture change data, the average value of the posture change data in different time periods after operation is determined in sequence.

[0116] Optionally, the posture change data of the patients who exhaust naturally within 48 hours after operation can be summarized and the related average value can be calculated. The patients in table 1 whose exhaust mark is 'exhausted' and whose exhaust time is less than 48 hours and who exhaust naturally can be classified and counted, and the average value can be calculated, wherein the calculation method of the average value of the posture change data in different time periods can refer to table 2:

[0117] Table 2

[0118]

[0119]

[0120] It should be noted that the exhaust time in table 2 refers to the time from the end of operation to the first exhaust, and the calculation method is the calculation method of the exhaust time. The exhaust time in table 2 can be calculated by subtracting the end time of operation of the patient from the exhaust time collected in table 1.

[0121] Optionally, by the above method, the average value of the posture change data in different time periods after operation corresponding to the target disease can be calculated.

[0122] Anesthesia start date and time The flowchart of the method for analyzing postoperative physiological data of patients provided by the embodiment of the application Anesthesia start date and time Optionally, the method of the application can further include:

[0123] S401, according to the postoperative exhaust treatment mode of the patient, it is determined whether the exhaust mode of the patient is natural exhaust.

[0124] Optionally, according to the recorded exhaust treatment mode of the patient, it is judged whether the patient is a natural exhaust patient.

[0125] S402, if the patient is natural exhaust, the patient is marked for posture change anomaly according to the posture change data of the patient and the average value of the posture change data.

[0126] When the patient is a natural exhaust patient, the number of sitting and lying positions of the patient in a continuous time period, the number of standing positions in a continuous time period, and the average standing position holding time in a continuous time period recorded in Table 1 can be compared with the average of the number of sitting and lying positions, the average of the number of standing positions, and the average of the average standing position holding time in the corresponding postoperative time period recorded in Table 2, respectively. If the patient's posture change data deviates greatly from the average of the posture change data, the patient is marked as having abnormal posture change.

[0127] The posture change abnormality mark here can represent that the patient's posture has not changed for a long time, or that the patient's posture changes too frequently.

[0128] Based on the marked information, medical staff can be prompted to observe the patient in time to avoid the patient from having an abnormality.

[0129] In some optional embodiments, the nursing system can display the postoperative exhaust and posture information of each patient on the mobile terminal of the medical staff, the medical staff workstation, or the nursing monitoring large screen, to facilitate the medical staff to check and find problems in time.

[0130] Figure 7 An information display schematic diagram provided by the embodiments of the present application is shown in FIG. 1. Figure 7 As shown in FIG. 1, the name, bed number, postoperative time, exhaust mark, posture change mark, and drug exhaust mark of each patient can be displayed on the nursing monitoring large screen. Here, the display can be the display of the information of each patient.

[0131] (1) The “postoperative time” displays the time counting after the patient's surgery, helping the medical staff to evaluate the patient's condition.

[0132] (2) The “exhaust mark” displays the current exhaust state of the patient, including no exhaust, no exhaust overtime warning, and exhaust. When the patient's surgery is over, the system does not collect exhaust data, and the “exhaust mark” is displayed as “no exhaust”. When the postoperative time reaches the exhaust time threshold set by the doctor, but the patient has not yet exhausted, the “exhaust mark” jumps to “! Exhaust overage warning!”. When the system collects the exhaust of the patient, the “exhaust mark” is not displayed.

[0133] (3) The “posture change mark” marks the patient whose posture does not change for a long time, helping the nurse to perform nursing intervention and help the patient to turn over to adjust the posture. The medical staff can set a time threshold. If the system does not collect the posture change of the patient within the time threshold, the “posture change mark” is displayed as “no”. If the system collects the posture change of the patient within the time threshold, the “posture change mark” is not displayed.

[0134] (4) The “drug exhaust mark” marks whether the postoperative patient adopts the drug treatment method to help exhaust.

[0135] And in some embodiments, for patients with abnormal exhaust or abnormal posture changes, prompt information can be sent to the terminal of medical staff to check the abnormal patients in time and avoid delaying treatment.

[0136] Optionally, the exhaust time threshold can be set for different operations, which can be a time point or a time interval. From the end time of the patient's operation, if the postoperative time exceeds the set exhaust threshold and no patient exhaust data is collected, the patient's exhaust identifier jumps to "! Exhaust timeout warning!", and the medical staff is reminded by instant message such as SMS to pay attention and take intervention measures such as medicine and physical therapy in time.

[0137] The time threshold of posture change is set to monitor the posture change of the postoperative patient. If no patient posture change data is collected within the set time threshold, the posture change identifier of the patient is displayed as "no", and the medical staff is prompted to intervene in the patient's care through instant message prompt.

[0138] Figure 8 The flowchart of the patient postoperative physiological data analysis method provided by the embodiment of the application Figure 9 Optionally, the method of the application can also include:

[0139] S601, collect the basic information of each patient with the target disease, including: identity information, operation information, anesthesia use information, postoperative exhaust treatment information, and postoperative posture change data.

[0140] In some embodiments, some basic information of the patient can also be collected, such as the identity information record table of the patient shown in Table 3, the operation information record table of the patient shown in Table 4, and the anesthesia use information record table of the patient shown in Table 5.

[0141] Table 3

[0142]

[0143] Table 4

[0144]

[0145]

[0146] Table 5

[0147] Figure 10 Figure 8 - Figure 10 Figure 7 Figure 9 Figure 7 Figure 11 Figure 11 Figure 12 ​ ​ ​ ​ ​ ​

[0148] S602, generate the feature analysis result of the target disease according to the basic information of each patient and the postoperative exhaust identifier of each patient, and the feature analysis result is used to indicate the influencing factors of postoperative exhaust.

[0149] Optionally, one-sided factor analysis or multi-sided factor analysis can be performed for various factors.

[0150] For the same disease, the patient's exhaust condition is compared under the influence of patient individual factors, different operation levels, operation time, operation level, operation site, anesthesia method, nursing method and other factors, so as to analyze the influence of each factor on the patient's postoperative exhaust. The patient individual factors include gender, age, weight, physical weakness state, etc.

[0151] For the same disease, the main factors affecting the patient's exhaust are analyzed under the influence of patient individual factors, different operation levels, operation time, operation level, operation site, anesthesia method, nursing method and other factors.

[0152] For the same disease, the use effect of preoperative medication, intraoperative medication and postoperative medication on patient exhaust is compared and analyzed to provide clinical basis for drug research and development and clinical research.

[0153] For the same disease, the promotion effect of different treatment methods on the patient's postoperative exhaust is compared and analyzed. The treatment methods include physical treatment such as acupuncture and massage, drug treatment, and nutritional care.

[0154] For the same disease, the promotion effect of postoperative activity of the patient on the patient's postoperative exhaust is compared and analyzed. For example, the influence of the sitting and lying position in a continuous time (sitting and lying position holding time, sitting and lying position change frequency per unit time) on the patient's postoperative exhaust is analyzed, and the influence of the standing position in a continuous time (standing position frequency, standing position total time, standing position average holding time) on the patient's postoperative exhaust is analyzed.

[0155] In summary, the patient postoperative physiological data analysis method provided by the embodiment can collect the physiological data of the patient after the operation through the collecting device, so as to generate the exhaust identifier and the position change identifier of the patient according to the exhaust time and the position data of the collected physiological data, and then generate the early warning information based on the exhaust identifier and the position change identifier. Through the early warning information, medical staff can be reminded to help the patient to exhaust in time, and the occurrence of postoperative complications of the patient can be reduced. The method can automatically monitor the exhaust and position data of the patient through the collecting device, which can help medical staff to accurately and timely master the physiological changes of the patient after the operation, avoid false reports or omissions caused by the patient's active reporting of physiological change information, and based on the provided physiological data analysis method, the early warning information can be generated, so as to help medical staff to intervene in the abnormal situation of the patient after the operation in time, effectively improve the postoperative recovery ability of the patient, and reduce the occurrence of surgical complications.

[0156] In addition, by collecting the basic information of the patient, and combining the posture change of the patient during the postoperative recovery period, the related factors affecting the patient's exhaust can be comprehensively analyzed, and real world evidence data support can be provided for clinical research, physical therapy, drug research, etc.

[0157] Next, the structure and use principle of the collection device for collecting physiological data of the patient will be described in detail.

[0158] ​ A structural schematic diagram of a collection device provided by the embodiment of the application is shown in the figure. ​ As shown in the figure, the collection device can include: a device body 100, the device body 100 is provided with a gas sensor 10, a posture sensor 11, a signal transmitter 12, and an alarm device 13; the gas sensor 10 and the posture sensor 11 are in communication connection with the signal transmitter 12; the signal transmitter 12 is in communication connection with an electronic device; and the gas sensor 10 is also in communication connection with the alarm device 13.

[0159] Among them, the two ends of the device body 100 are respectively provided with an upper air pipe interface 14 and a lower air pipe interface 15 which are in communication with the inside of the device body, the upper air pipe interface 14 is used for connecting the exhaust organ of the patient; in this scheme, the upper air pipe interface 14 can be connected to the anus of the patient, and the exhaust time and the posture data of the patient can be collected by the gas sensor and the posture sensor respectively.

[0160] The alarm device 13 is used for triggering an alarm when the signal of the gas sensor 10 changes.

[0161] In some embodiments, the alarm device 13 can be a buzzer flashing lamp, the alarm device 13 can be in communication connection with the gas sensor 10, when the patient exhausts, the gas sensor 10 can convert the gas volume fraction in the device into an electric signal in a certain relationship with it, and convert the electric signal into a digital signal which can be used by the computer; the buzzer flashing lamp is connected with the gas sensor, when the gas sensor 10 has an electric signal change, the buzzer flashing lamp is bright and accompanied by a buzzing sound, which helps the patient's family members and medical staff to perceive the patient's exhaust.

[0162] The signal transmitter 12 is used for transmitting the exhaust time sent by the gas sensor 10 and the posture data sent by the posture sensor 11 to the electronic device.

[0163] Optionally, the signal transmitter 12 can be a wireless signal transmitter with Wifi, 4G or 5G, which can transmit the physiological data monitored by the gas sensor 10 and the posture sensor 11 respectively to the electronic device, so that the electronic device can perform early warning analysis according to the received physiological data.

[0164] The working principle of the collection device can be as follows:

[0165] First, the disposable sleeve is sleeved on the upper tracheal interface, and then the upper tracheal interface is inserted into the anus of the patient. The disposable sleeve is a low-value consumable, which can reduce the pollution of the anus to the upper tracheal interface. When the patient exhales, the gas sensor can convert the gas volume fraction in the device into an electrical signal in a certain relationship with it, and convert the electrical signal into a digital signal that can be used by the computer, so that the gas pressure, gas flow, temperature and discharge time of the exhaled gas can be captured. The buzzer flashing light (alarm device) is connected with the gas sensor. When the gas sensor has an electrical signal change, the buzzer flashing light is bright and accompanied by a buzzing sound, helping the patient's family members and medical staff to perceive the patient's exhalation. The wireless signal transmitter with Wifi, 4G or 5G can send the received exhalation data and pose data to the electronic equipment of the medical workstation, realizing data transmission.

[0166] ​ A structure schematic diagram of a pose sensor provided by an embodiment of the present application is provided. ​ A cross-sectional schematic diagram of a pose sensor provided by an embodiment of the present application is provided. ​ A bottom arc cutting schematic diagram of a hollow conductor in a pose sensor provided by an embodiment of the present application is provided.

[0167] Optionally, the device body 100 is a hollow shell, and the pose sensor 11 can be fixed on the inner wall of the shell. Referring to ​ , the pose sensor 11 can include an insulating shell 11a, and the insulating shell 11a includes a hollow conductor 11b and a spherical conductor 11c inside. The hollow conductor 11b has a plurality of continuous arc inner walls inside, and the spherical conductor 11c is located inside the hollow conductor 11b and stays at different arc inner walls according to the patient's pose.

[0168] Optionally, as ​ indicated, the collection device further includes a charging device 16. The charging device 16 is respectively in communication connection with the gas sensor 10, the pose sensor 11, the signal transmitter 12 and the alarm device 13. The charging device 16 can supply power to all electrical equipment in the collection device. The charging device 16 can be a rechargeable power supply and can be detachably installed in the device body 100.

[0169] In addition, the collection device can further include a device master switch 17 for controlling the opening or closing of the collection device.

[0170] The working principle of the pose sensor is as follows:

[0171] First, a plurality of hollow conductors with arc inner wall (hereinafter referred to as arc conductor) are connected to each other to form a whole, covering the inner wall and bottom of the insulating shell. After the total switch of the device is opened, the spherical conductor (conductor ball) in the posture sensor can stay in different arc conductors due to the action of gravity. The bottom arc of each arc conductor is cut, and the cutting method is to make the hollow area of the bottom of each arc conductor slightly deviate and not the same (because the surface area of the arc conductor is different, the resistance is also different, and the different current intensity in the circuit can be detected to identify which arc conductor the conductor ball falls into), and the diameter of the hollow cross section is smaller than the diameter of the conductor ball. When the conductor ball falls into the arc conductor, the arc conductor is connected to the circuit, and the different current output intensity can be detected to detect which arc conductor the conductor ball falls into.

[0172] The corresponding relationship between the output current intensity and the arc conductor is established in advance, the arc conductor is numbered, the position change of the conductor ball can be identified, and the corresponding relationship between the posture change of the patient and the posture change of the patient is obtained, so that the electrical signal conversion of the posture change of the patient is realized. The electrical signal generated in this process is converted into a digital signal, which is sent to the electronic equipment of the medical workstation through the signal transmitter, so that the transmission of the collected posture data of the patient can be realized.

[0173] The number of hollow conductors in the posture sensor in the embodiment is not limited, and the hollow conductors in the same cross section are taken as a group. There can be multiple conductor groups from top to bottom, and each group can have multiple hollow conductors, but the conductor surface at the bottom of the collection device is indispensable. The numbering rules of the conductors are as follows:

[0174] (1) From top to bottom, the hollow conductors in the same cross section are taken as a group, and the group number of the hollow conductor is 1, 2, 3, 4… and so on.

[0175] (2) In the same cross section, the position of the spherical conductor in the hollow conductor when the patient is supine is taken as the reference, and the position of the hollow conductor is numbered clockwise as A, B, C, D… and so on.

[0176] (3) The identification of the position of the conductor surface can be obtained by combining the position number of the hollow conductor and the group number.

[0177] In the embodiment, the posture sensor with 17 hollow conductors is taken as an example, as shown in ​ , the posture sensor has 5 groups of conductors, each group consists of 4 hollow conductors except the bottom conductor group, A1 represents the reference position of the hollow conductor in the first group of conductors, and E5 represents the hollow conductor at the bottom position. The specific corresponding relationship between the conductor number and the patient position is shown in Table 6:

[0178]

[0179] In addition, in order to ensure the accuracy of the collected patient posture data, as shown in ​ The collecting device can further include a mounting reference line 18, and the mounting direction of the device is consistent with the supine direction of the patient, and the mounting reference line is perpendicular to the bed surface at this time.

[0180] Meanwhile, the device body 100, the gas sensor 10, and the posture sensor 11 all have transparent insulating shells, which facilitate the medical staff to check the state of the posture sensor when installing the collecting device.

[0181] Through the collecting device provided in this embodiment, automatic detection of physiological data of a patient can be realized, and based on the design of the posture sensor, the accuracy of the collected patient posture data is relatively high, so that, based on the physiological data collected by the collecting device, the above-mentioned analysis method can be used to generate early warning information.

[0182] The following describes the device, equipment, storage medium, and the like for executing the patient postoperative physiological data analysis method provided in this application. For the specific implementation process and technical effects, refer to the above description, and the following will not be described again.

[0183] ​ FIG. 1 is a schematic diagram of a patient postoperative physiological data analysis device provided in this embodiment, and the function implemented by the patient postoperative physiological data analysis device corresponds to the steps of the method described above. The device can be understood as the electronic device described above. As shown in ​ The device can include a collecting module 110 and a generating module 120.

[0184] The collecting module 110 is configured to collect physiological data of a patient in a preset time range after surgery in real time by a collecting device, and the physiological data includes exhalation time and posture data.

[0185] The generating module 120 is configured to generate an exhalation identifier and a posture change identifier of the patient according to the postoperative physiological data.

[0186] The generating module 120 is configured to generate early warning information according to the exhalation identifier and the posture change identifier, and the early warning information is used to prompt medical staff to assist in exhalation.

[0187] Optionally, the generating module 120 is specifically configured to generate the exhalation identifier of the patient according to the exhalation time and a preset exhalation time threshold corresponding to a target disease, and the exhalation identifier includes any one of the following: no exhalation, exhalation timeout warning, and exhalation.

[0188] According to the collected posture data at each time, posture change data in a continuous time period is counted, and the posture change data includes the number of sitting and lying positions, the number of standing positions, and the average holding time of the standing position.

[0189] According to the posture change data in the continuous time period, a posture change identifier of the patient is generated, and the posture change identifier includes any one of the following: no posture change or posture change.

[0190] Optionally, the generating module 120 is specifically configured to generate first warning information if the exhaust identifier indicates no exhaust or exhaust timeout warning, and the posture change identifier indicates no posture change, and send the first warning information to the medical staff client, the first warning information being used to prompt the medical staff to assist the patient to adjust the posture.

[0191] Optionally, the generating module 120 is specifically configured to generate second warning information if the exhaust identifier indicates no exhaust or exhaust timeout warning, and the posture change identifier indicates posture change, and send the second warning information to the medical staff client, the second warning information being used to prompt the medical staff to assist the patient to exhaust by using other treatment methods.

[0192] Optionally, the device further comprises a determining module.

[0193] The collecting module 110 is further configured to collect postoperative exhaust time of each patient suffering from the target disease and exhausting naturally.

[0194] The determining module is configured to determine the average value of the posture change data in different time periods after the operation in sequence according to the postoperative exhaust time of each patient and the postoperative posture change data.

[0195] Optionally, the determining module is specifically configured to determine whether the exhaust manner of the patient is natural exhaust according to the postoperative exhaust treatment manner of the patient.

[0196] If the patient exhausts naturally, the patient is marked for posture change anomaly according to the posture change data of the patient and the average value of the posture change data.

[0197] Optionally, the collecting module 110 is further configured to collect basic information of each patient suffering from the target disease, and the basic information includes identity information, operation information, anesthesia use information, postoperative exhaust treatment information, and postoperative posture change data.

[0198] The determining module is configured to generate a feature analysis result of the target disease according to the basic information of each patient and the postoperative exhaust identifier of each patient, and the feature analysis result is used to indicate an influencing factor of postoperative exhaust.

[0199] The device is used to execute the method provided by the foregoing embodiments, and has similar implementation principles and technical effects, which will not be described here.

[0200] The above modules can be one or more integrated circuits configured to implement the above methods, for example, one or more application specific integrated circuits (ASICs), or one or more digital signal processors (DSPs), or one or more field programmable gate arrays (FPGAs), etc. For another example, when a certain module above is implemented in the form of a processing element scheduling code, the processing element can be a general purpose processor, such as a central processing unit (CPU) or other processor that can invoke code. For another example, the modules can be integrated together to implement in the form of a system on a chip (SOC).

[0201] The above modules can be connected or communicated with each other via wired connection or wireless connection. The wired connection can include metal cable, optical cable, hybrid cable, etc., or any combination thereof. The wireless connection can include connection in the form of LAN, WAN, Bluetooth, ZigBee, or NFC, etc., or any combination thereof. Two or more modules can be combined into a single module, and any one module can be divided into two or more units. It can be clearly understood by those skilled in the art that, for the convenience and brevity of description, the specific working process of the system and device described above can refer to the corresponding process in the method embodiment, which will not be repeated here.

[0202] ​ A structural schematic diagram of an electronic device provided by an embodiment of the present application is provided. The device can be a computing device with data processing function.

[0203] The device can include a processor 801 and a storage medium 802.

[0204] The storage medium 802 is configured to store a program, and the processor 801 invokes the program stored in the storage medium 802 to execute the above method embodiments. The specific implementation and technical effects are similar, and will not be repeated here.

[0205] The storage medium 802 stores program code, and when the program code is executed by the processor 801, the processor 801 executes various steps in the method according to various exemplary embodiments of the present application described in the above “exemplary method” part of the specification.

[0206] The processor 801 can be a general processor, such as a central processing unit (CPU), a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, a discrete gate or transistor logic, a discrete hardware component, and can implement or execute the methods, steps and logic block diagrams disclosed in the embodiments of the present application. The general processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of the present application can be directly embodied as completed by a hardware processor, or completed by a combination of hardware and software modules in the processor.

[0207] The storage medium 802 is a non-volatile computer readable storage medium, and can be used to store non-volatile software programs, non-volatile computer executable programs and modules. The storage medium can include at least one type of storage medium, such as flash memory, hard disk, multimedia card, card type storage medium, random access memory (RAM), static random access memory (SRAM), programmable read only memory (PROM), read only memory (ROM), electrically erasable programmable read only memory (EEPROM), magnetic storage medium, magnetic disk, optical disk, etc. The storage medium is any other medium capable of carrying or storing desired program code in the form of instructions or data structures and capable of being accessed by a computer, but is not limited to this. The storage medium 802 in the embodiments of the present application can also be a circuit or any other device capable of realizing a storage function, used to store program instructions and / or data.

[0208] Optionally, the present application also provides a program product, such as a computer readable storage medium, comprising a program for executing the above-mentioned method embodiments when executed by a processor.

[0209] In several embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented by other manners. For example, the apparatus embodiments described above are merely illustrative, for example, the division of the units is merely a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units or components shown or discussed can be indirect coupling or communication connection through some interfaces, apparatuses or units, and can be electrical, mechanical or other forms.

[0210] The units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0211] In addition, the functional units in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of hardware plus software functional unit.

[0212] The integrated unit realized in the form of software functional unit can be stored in a computer readable storage medium. The software functional unit stored in a storage medium includes a plurality of instructions for making a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor (English: processor) execute part of the steps of the method described in each embodiment of the present application. The foregoing storage medium includes a U disk, a mobile hard disk, a read-only memory (English: Read-Only Memory, abbreviated as: ROM), a random access memory (English: Random Access Memory, abbreviated as: RAM), a magnetic disk or an optical disk, and various program code storage media.

Claims

1. A method of analyzing post-operative physiological data of a patient, the method comprising: The application is applied to an electronic device, which is in communication connection with a collecting device, the collecting device is used for connecting the exhaust organ of a patient, and the collecting device comprises a device body, a gas sensor, a pose sensor, a signal transmitter and an alarm device are arranged in the device body; the gas sensor and the pose sensor are in communication connection with the signal transmitter; the signal transmitter is in communication connection with the electronic device; the gas sensor is also in communication connection with the alarm device; two ends of the device body are respectively provided with an upper air pipe interface and a lower air pipe interface, which are in communication with the inside of the device body, and the upper air pipe interface is used for connecting the exhaust organ of the patient; the alarm device is used for triggering an alarm when a signal change of the gas sensor is detected; the device body is a hollow shell, and the pose sensor is fixed on the inner wall of the shell; the pose sensor comprises an insulating shell, the insulating shell comprises a hollow conductor and a spherical conductor; the hollow conductor has a plurality of continuous circular arc inner walls inside, and the spherical conductor is located inside the hollow conductor and stays at different circular arc inner walls according to the patient's pose; The method comprises: real-time collection of physiological data of the patient within a preset time range after the operation by the collecting device, the physiological data comprising exhaust time and pose data; wherein the exhaust time is collected by the gas sensor and sent to the electronic device based on the signal transmitter; the pose data is collected by the pose sensor and sent to the electronic device based on the signal transmitter; generating an exhaust identifier and a pose change identifier of the patient according to the postoperative physiological data; generating early warning information according to the exhaust identifier and the pose change identifier, the early warning information being used to prompt medical staff to assist in exhaust.

2. The method of claim 1, wherein, The generation of the exhaust identifier and the pose change identifier of the patient according to the postoperative physiological data comprises: generating the exhaust identifier of the patient according to the exhaust time and a preset exhaust time threshold corresponding to the target disease, the exhaust identifier comprising any of the following: no exhaust, exhaust timeout warning, and exhaust completed; statistically obtaining pose change data within a continuous time period according to the collected pose data at each time, the pose change data comprising the number of sitting and lying positions, the number of standing positions, and the average standing time; generating the pose change identifier of the patient according to the pose change data within the continuous time period, the pose change identifier comprising any of the following: no pose change or pose change.

3. The method of claim 2, wherein, The generation of the early warning information according to the exhaust identifier and the pose change identifier comprises: if the exhaust identifier indicates no exhaust or exhaust timeout warning, and the pose change identifier indicates no pose change, generating first early warning information and sending the first early warning information to a medical staff client, the first early warning information being used to prompt the medical staff to assist the patient in adjusting the pose.

4. The method of claim 2, wherein, The generation of the early warning information according to the exhaust identifier and the pose change identifier comprises: If the exhaust identifier indicates no exhaust or exhaust timeout warning, and the pose change identifier indicates that the pose has changed, a second warning information is generated, and the second warning information is sent to the medical staff client, the second warning information is used to prompt the medical staff to use other treatment means to assist the patient in exhaust.

5. The method according to any of claims 1 to 4, characterized in that, Also includes: Collect the postoperative exhaust time of each patient with the target disease and natural exhaust; According to the postoperative exhaust time of each patient, and the postoperative pose change data, the average value of the pose change data in different time periods after operation is determined in turn.

6. The method of claim 5, wherein, Also includes: According to the postoperative exhaust treatment mode of the patient, it is determined whether the exhaust mode of the patient is natural exhaust; If the patient is natural exhaust, the patient is marked for pose change anomaly according to the pose change data of the patient and the average value of the pose change data.

7. The method according to any one of claims 1 to 4, characterized in that, Also includes: Collect the basic information of each patient with the target disease, including: identity information, operation information, anesthesia use information, postoperative exhaust treatment information, and postoperative pose change data; According to the basic information of each patient, and the postoperative exhaust identifier of each patient, the feature analysis result of the target disease is generated, which is used to indicate the influencing factors of postoperative exhaust.

8. The method of claim 1, wherein, The collecting device further comprises a charging device; the charging device is respectively connected with the gas sensor, the pose sensor, the signal transmitter and the alarm device in communication.

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