Intelligent celiac hydrops drainage monitoring system and method

Abstract

The invention discloses an intelligent abdominal hydrops drainage monitoring system and method, belongs to the technical field of ascites drainage, and can monitor the drainage process in real time and improve the drainage safety. Comprising a liquid inlet monitoring module, a liquid suction monitoring module, an accumulation amount monitoring module, a drainage efficiency monitoring module and an alarm module, and the liquid inlet monitoring module is used for obtaining flushing liquid inlet instantaneous flow velocity data; the imbibition monitoring module is used for acquiring the total imbibition amount in a first preset time period; the accumulation amount monitoring module is used for calculating the total accumulation amount in a first preset time period according to the flushing inlet liquid instantaneous flow velocity data and the total liquid absorption amount; when the total accumulation amount is larger than a first preset threshold value, a first alarm signal is sent out; the drainage efficiency monitoring module is used for calculating drainage efficiency according to the total accumulation amount, judging whether the drainage efficiency is smaller than a third preset threshold value or not, and sending out a second alarm signal when the drainage efficiency is smaller than the third preset threshold value; the alarm module responds to the first alarm signal or the second alarm signal to control the alarm to give an alarm.

Description

Technical Field

[0001] The present invention relates to the technical field of ascites drainage, and in particular to an intelligent ascites drainage monitoring system and method. Background Art

[0002] Ascites drainage is a common surgical procedure that involves placing a drainage tube in the abdominal cavity to effectively drain excess fluid or mixture from the body. This technical solution is widely used in postoperative patients, patients with infectious diseases, and other clinical situations that require fluid drainage, such as intra-abdominal bleeding, abscess effusion, etc.

[0003] The existing monitoring process of ascites drainage mainly relies on manual records and subjective judgments by medical personnel, and lacks intelligent means to automatically monitor the drainage process. Manual recording is not only prone to data omissions or errors, but also lacks dynamic monitoring and data analysis of the drainage process.

[0004] The disclosure of the above background technology content is only used to assist in understanding the concept and technical solution of the present invention. It does not necessarily belong to the prior art of this patent application. In the absence of clear evidence that the above content has been disclosed on the filing date of this patent application, the above background technology should not be used to evaluate the novelty and creativity of the present application. Summary of the invention

[0005] The present application provides an intelligent ascites drainage monitoring system and method, which are used to monitor the drainage process in real time and improve drainage safety.

[0006] To achieve the above objectives, the present application discloses the following technical solutions:

[0007] In a first aspect, an embodiment of the present application provides an intelligent ascites drainage monitoring system, comprising:

[0008] The liquid inlet monitoring module is used to obtain the instantaneous flow rate data of the flushing liquid inlet;

[0009] A liquid aspiration monitoring module, the liquid aspiration monitoring module is used to obtain a total liquid aspiration amount in a first predetermined time period;

[0010] The accumulation monitoring module is used to calculate the total accumulation within a first predetermined time period according to the instantaneous flow rate data of the flushing liquid and the total liquid absorption volume; determine whether the total accumulation is greater than a first preset threshold value, and issue a first alarm signal when the total accumulation is greater than the first preset threshold value;

[0011] A drainage efficiency monitoring module, which is used to calculate the drainage efficiency according to the total accumulation amount, determine whether the drainage efficiency is less than a third preset threshold, and issue a second alarm signal when the drainage efficiency is less than the third preset threshold;

[0012] The alarm module controls the alarm to sound an alarm in response to the first alarm signal or the second alarm signal.

[0013] In the embodiment of the present application, through the coordinated work of the liquid inlet monitoring module and the liquid suction monitoring module, the system can automatically obtain the instantaneous flow rate and liquid suction volume data of the flushing liquid, replacing the traditional manual record. This automated data collection method significantly improves the accuracy and completeness of the data, avoiding data omissions or errors caused by medical staff negligence or improper operation. At the same time, the system can calculate these data in real time, eliminating the delay of manual recording, and ensuring dynamic monitoring of water accumulation and liquid suction during the entire drainage process.

[0014] Secondly, the accumulation monitoring module calculates the instantaneous flow rate of the flushing fluid and the total amount of fluid absorbed to obtain the total accumulation within a predetermined time. When the accumulation exceeds the preset threshold, the system will automatically trigger an alarm. This mechanism ensures that the problem can be discovered and handled in a timely manner, effectively avoiding a series of problems caused by excessive fluid accumulation in the abdominal cavity (for example, increased intra-abdominal pressure may affect the blood perfusion of the kidneys, leading to renal insufficiency or even acute kidney injury), and ensuring the safety of the entire drainage process.

[0015] In addition, the system has introduced a drainage efficiency monitoring function. By comparing the accumulation data with the predetermined threshold, the system can dynamically evaluate the drainage efficiency. The traditional manual method cannot effectively evaluate the drainage efficiency. The system can automatically calculate the efficiency and determine whether an alarm signal needs to be issued based on the set threshold. This function improves the overall management level of the drainage process, ensuring that the fluid in the abdominal cavity is fully drained, avoiding fluid retention due to inefficiency, and then causing infection or other complications, thereby improving the treatment effect.

[0016] In some possible implementations of the first aspect, the accumulation monitoring module is also used to determine whether the total accumulation is less than a second preset threshold, and to send a first alarm signal when the total accumulation is less than the second preset threshold, wherein the second preset threshold is a negative value and the first preset threshold is a positive value. In this way, the system has the ability of two-way detection, which can not only identify the risk of excessive water accumulation, but also detect the risk of insufficient water accumulation. Specifically, it can effectively avoid the problem of being unable to effectively remove inflammatory substances and bacteria in the abdominal cavity due to insufficient water accumulation.

[0017] In some possible implementations of the first aspect, the liquid inlet monitoring module is used to obtain instantaneous flow rate data collected by the first flow rate sensor installed in the flushing liquid inlet pipeline, and the liquid absorption monitoring module obtains the weighing result of the liquid absorption collection container by the electronic scale, and calculates the total liquid absorption amount based on the weighing result.

[0018] In some possible implementations of the first aspect, the inlet monitoring module is further used to determine whether the flushing inlet instantaneous flow rate data is within a preset flow rate range, and when it is outside the preset flow rate range, a third alarm signal is issued, and the alarm module controls the alarm to issue an alarm in response to the third alarm signal. In this way, the flow rate can be ensured to be maintained within a reasonable range, which helps to maintain the efficiency and safety of drainage and avoid drainage failure or complications caused by abnormal flow rate.

[0019] In some possible implementations of the first aspect, the intelligent peritoneal drainage monitoring system further includes a video generation module, which is used to obtain real-time suction negative pressure and the patient's real-time heart rate, blood pressure, respiratory rate and basic information data;

[0020] Compare the acquired heart rate, blood pressure, respiratory rate and flushing fluid instantaneous flow rate data with the preset normal value range; when the normal value range is exceeded, generate a flag signal marking the abnormal moment, including the abnormal type and timestamp;

[0021] The real-time suction negative pressure and the patient's real-time heart rate, blood pressure, respiratory rate, and flushing liquid instantaneous flow rate data are stored in the form of time series; basic information is stored in the form of static text;

[0022] Generate video frames according to time series data. Each time a video frame is generated, the data of the current time point is extracted from the time series and embedded into the current video frame.

[0023] Receive the abnormal flag signal, mark the time when the abnormality occurs on the corresponding video frame according to the timestamp, and display the abnormality type;

[0024] All generated video frames are encoded in chronological order to generate a complete video file, which is then sent to the preset terminal. This makes it easier for the medical team to conduct a comprehensive reflection and analysis after the drainage is completed, summarizing the successful experiences and shortcomings in the drainage process, thereby promoting the accumulation of clinical experience. In addition, this can also provide real case study materials for new medical personnel, helping to pass on clinical experience.

[0025] In some possible implementations of the first aspect, the liquid inlet monitoring module is further used to:

[0026] Collecting the instantaneous flow rate data of the flushing liquid to form a first signal;

[0027] Decomposing the first signal into a plurality of intrinsic mode component signals by applying a preset signal decomposition algorithm;

[0028] For each intrinsic mode component signal, fast Fourier transform is applied to convert the intrinsic mode component signal into the frequency domain to obtain the frequency component;

[0029] plotting a first spectrum graph according to frequency components;

[0030] Analyzing the first spectrum graph and identifying the aliasing component signal to obtain a second spectrum graph;

[0031] identifying and extracting the maximum intensity in the second spectrum as the first intensity;

[0032] Calculate the product of the first intensity and the preset ratio to obtain a screening intensity threshold; filter out data points with intensities greater than the screening intensity threshold to form an optimized spectrum curve;

[0033] Identify and divide the optimized spectrum curve into a plurality of data segments by using the extreme value points of the optimized spectrum curve;

[0034] Select the smallest data segment from all data segments, and set the frequency corresponding to the maximum intensity in the smallest data segment as the reference frequency of white noise;

[0035] Calculate the amplitude mean of all data points in the second spectrum graph and multiply it by a predetermined ratio to determine a reference amplitude of white noise;

[0036] The aliasing component signal identified from the first spectrum diagram is divided into a plurality of signal segments; by comparing the maximum intensity corresponding frequency of each signal segment with the maximum intensity corresponding frequency of the aliasing component signal, a frequency ratio is determined as a first ratio;

[0037] The first ratio is negatively correlated and multiplied by the base frequency to obtain the added frequency;

[0038] Calculate the product of the first ratio and the reference amplitude to obtain an added amplitude;

[0039] Adding white noise to the aliasing component signal based on the adding frequency and the adding amplitude to generate an updated aliasing component signal;

[0040] According to the white noise adding parameters of each signal segment, the corresponding filter kernel parameters are determined;

[0041] Decomposing the updated aliasing component signal and filtering it using the filter kernel parameters until no new aliasing component signal is generated, so as to obtain an optimized component signal;

[0042] The optimized component signals are recombined to obtain the optimized flushing liquid instantaneous flow rate data for calculating the total accumulation volume. In this way, noise can be accurately removed, the quality of the real signal can be improved, and the accuracy of subsequent data calculation and analysis can be improved.

[0043] In a second aspect, an embodiment of the present application provides an intelligent ascites drainage monitoring method, comprising:

[0044] Obtain the instantaneous flow rate data of the flushing liquid;

[0045] Obtaining a total amount of liquid imbibed during a first predetermined time period;

[0046] Calculate the total accumulation amount within a first predetermined time period according to the instantaneous flow rate data of the flushing liquid and the total liquid absorption amount; determine whether the total accumulation amount is greater than a first preset threshold value, and issue a first alarm signal when the total accumulation amount is greater than the first preset threshold value;

[0047] Calculating the drainage efficiency according to the total accumulation amount, determining whether the drainage efficiency is less than a third preset threshold, and issuing a second alarm signal when the drainage efficiency is less than the third preset threshold;

[0048] The alarm is controlled to sound an alarm in response to the first alarm signal or the second alarm signal.

[0049] In some possible implementations of the second aspect, the intelligent ascites drainage monitoring method also includes the following steps: determining whether the total accumulation volume is less than a second preset threshold, and issuing a first alarm signal when the total accumulation volume is less than the second preset threshold, wherein the second preset threshold is a negative value and the first preset threshold is a positive value.

[0050] In some possible implementations of the second aspect, the instantaneous flow rate data of the flushing liquid is obtained by acquiring the instantaneous flow rate data collected by the first flow rate sensor installed in the flushing liquid pipeline, and the total liquid absorption volume is calculated based on the weighing result of the liquid absorption collection container obtained by the electronic scale.

[0051] In some possible implementations of the second aspect, the intelligent ascites drainage monitoring method also includes the following steps: determining whether the instantaneous flow rate data of the flushing liquid is within a preset flow rate range, and when it is outside the preset flow rate range, issuing a third alarm signal, and the alarm module controls the alarm to issue an alarm in response to the third alarm signal.

[0052] In some possible implementations of the second aspect, the intelligent peritoneal drainage monitoring method further includes the following steps: obtaining real-time suction negative pressure and the patient's real-time heart rate, blood pressure, respiratory rate and basic information data;

[0053] Compare the acquired heart rate, blood pressure, respiratory rate and flushing fluid instantaneous flow rate data with the preset normal value range; when the normal value range is exceeded, generate a flag signal marking the abnormal moment, including the abnormal type and timestamp;

[0054] The real-time suction negative pressure and the patient's real-time heart rate, blood pressure, respiratory rate, and flushing liquid instantaneous flow rate data are stored in the form of time series; basic information is stored in the form of static text;

[0055] Generate video frames according to time series data. Each time a video frame is generated, the data of the current time point is extracted from the time series and embedded into the current video frame.

[0056] Receive the abnormal flag signal, mark the time when the abnormality occurs on the corresponding video frame according to the timestamp, and display the abnormality type;

[0057] All generated video frames are encoded in chronological order to generate a complete video file, which is then sent to the preset terminal.

[0058] In some possible implementations of the second aspect, the step of obtaining flushing liquid instantaneous flow rate data includes:

[0059] Collecting the instantaneous flow rate data of the flushing liquid to form a first signal;

[0060] Decomposing the first signal into a plurality of intrinsic mode component signals by applying a preset signal decomposition algorithm;

[0061] For each intrinsic mode component signal, fast Fourier transform is applied to convert the intrinsic mode component signal into the frequency domain to obtain the frequency component;

[0062] plotting a first spectrum graph according to frequency components;

[0063] Analyzing the first spectrum graph and identifying the aliasing component signal to obtain a second spectrum graph;

[0064] identifying and extracting the maximum intensity in the second spectrum as the first intensity;

[0065] Calculate the product of the first intensity and the preset ratio to obtain a screening intensity threshold; filter out data points with intensities greater than the screening intensity threshold to form an optimized spectrum curve;

[0066] Identify and divide the optimized spectrum curve into a plurality of data segments by using the extreme value points of the optimized spectrum curve;

[0067] Select the smallest data segment from all data segments, and set the frequency corresponding to the maximum intensity in the smallest data segment as the reference frequency of white noise;

[0068] Calculate the amplitude mean of all data points in the second spectrum graph and multiply it by a predetermined ratio to determine a reference amplitude of white noise;

[0069] The aliasing component signal identified from the first spectrum diagram is divided into a plurality of signal segments; by comparing the maximum intensity corresponding frequency of each signal segment with the maximum intensity corresponding frequency of the aliasing component signal, a frequency ratio is determined as a first ratio;

[0070] The first ratio is negatively correlated and multiplied by the base frequency to obtain the added frequency;

[0071] Calculate the product of the first ratio and the reference amplitude to obtain an added amplitude;

[0072] Adding white noise to the aliasing component signal based on the adding frequency and the adding amplitude to generate an updated aliasing component signal;

[0073] According to the white noise adding parameters of each signal segment, the corresponding filter kernel parameters are determined;

[0074] Decomposing the updated aliasing component signal and filtering it using the filter kernel parameters until no new aliasing component signal is generated, so as to obtain an optimized component signal;

[0075] The optimized component signals are recombined to obtain optimized flushing liquid instantaneous flow rate data for calculating the total accumulation amount.

[0076] In a third aspect, an embodiment of the present application provides an electronic device, comprising one or more processors; a storage device on which one or more programs are stored; when the one or more programs are executed by the one or more processors, the one or more processors implement the method described in any technical solution of the second aspect.

[0077] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the method described in any technical solution of the second aspect is implemented.

[0078] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the method described in any technical solution of the second aspect.

[0079] Among them, the technical effects brought about by any design method in the second to fifth aspects can refer to the technical effects brought about by different design methods in the first aspect, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0080] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the implementation methods or the description of the prior art. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived from the provided drawings without creative work.

[0081] Figure 1 A schematic diagram of a flow chart of an intelligent ascites drainage monitoring method provided in some embodiments of the present application;

[0082] Figure 2 A schematic diagram of the structure of an intelligent peritoneal drainage monitoring system provided in some embodiments of the present application;

[0083] Figure 3 It is a schematic diagram of the structure of an electronic device suitable for implementing some embodiments of the present application. DETAILED DESCRIPTION

[0084] Specific embodiments of the present invention will now be mentioned in detail. Although the present invention is described in conjunction with these specific embodiments, it should be appreciated that it is not intended to limit the present invention to these specific embodiments. On the contrary, these embodiments are intended to cover substitutions, changes or equivalent embodiments that may be included in the spirit and scope of the invention defined by the claims. In the following description, a large number of specific details are set forth in order to provide a comprehensive understanding of the present invention. The present invention may be implemented without some or all of these specific details.

[0085] When used in conjunction with "including," "methods comprising," or similar language in this specification and the appended claims, the singular forms "a," "an," and "the" include plural references unless the context clearly dictates otherwise. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0086] Ascites drainage is a common surgical procedure that involves placing a drainage tube in the abdominal cavity to effectively drain excess fluid or mixture from the body. This technical solution is widely used in postoperative patients, patients with infectious diseases, and other clinical situations that require fluid drainage, such as intra-abdominal bleeding, abscess effusion, etc.

[0087] The existing monitoring process of ascites drainage mainly relies on manual records and subjective judgments by medical personnel, and lacks intelligent means to automatically monitor the drainage process. Manual recording is not only prone to data omissions or errors, but also lacks dynamic monitoring and data analysis of the drainage process.

[0088] Among them, it is necessary to explain that abdominal drainage is also divided into passive drainage and active drainage. Passive drainage refers to the use of the pressure difference between the drainage tube and the intra-abdominal fluid and / or the effect of gravity to make the liquid flow out of the abdominal cavity along the drainage tube; active drainage refers to the use of an external negative pressure suction device to suck out the liquid; the abdominal drainage mentioned in the present invention is active drainage.

[0089] In response to the above-mentioned technical problems, the overall idea of ​​the technical solution provided by the present application is as follows: An embodiment of the present application provides an intelligent ascites drainage monitoring method, including: obtaining instantaneous flow rate data of flushing liquid; obtaining the total aspirated liquid volume in a first predetermined time period; calculating the total accumulation volume in the first predetermined time period based on the instantaneous flow rate data of flushing liquid and the total aspirated liquid volume; judging whether the total accumulation volume is greater than a first preset threshold, and issuing a first alarm signal when the total accumulation volume is greater than the first preset threshold; calculating the drainage efficiency based on the total accumulation volume, judging whether the drainage efficiency is less than a third preset threshold, and issuing a second alarm signal when the drainage efficiency is less than the third preset threshold; and controlling the alarm to issue an alarm in response to the first alarm signal or the second alarm signal.

[0090] This method can automatically obtain the instantaneous flow rate and aspiration volume data of the flushing liquid through the collaborative work of the liquid inlet monitoring module and the liquid aspiration monitoring module, replacing the traditional manual record. This automated data collection method significantly improves the accuracy and completeness of the data, avoiding data omissions or errors caused by medical staff negligence or improper operation. At the same time, the data can be calculated in real time, eliminating the delay of manual recording and ensuring dynamic monitoring of water accumulation and aspiration during the entire drainage process.

[0091] Secondly, the accumulation monitoring module calculates the instantaneous flow rate of the flushing fluid and the total amount of fluid absorbed to obtain the total accumulation within a predetermined time. When the accumulation exceeds the preset threshold, an alarm will be automatically triggered. This mechanism ensures that the problem can be discovered and handled in a timely manner, effectively avoiding a series of problems caused by excessive fluid accumulation in the abdominal cavity (for example, increased intra-abdominal pressure may affect the blood perfusion of the kidneys, leading to renal insufficiency or even acute kidney injury), and ensuring the safety of the entire drainage process.

[0092] In addition, a drainage efficiency monitoring function has been introduced. By comparing the accumulation data with the predetermined threshold, the drainage efficiency can be dynamically evaluated. The traditional manual method cannot effectively evaluate the drainage efficiency. The efficiency can be automatically calculated and the alarm signal can be determined based on the set threshold. This function improves the overall management level of the drainage process, ensuring that the fluid in the abdominal cavity is fully drained, avoiding fluid retention due to inefficiency, and then causing infection or other complications, thereby improving the treatment effect.

[0093] After introducing the basic principles of the present application, various non-limiting implementation methods of the present application will be specifically described below in conjunction with the drawings in the specification.

[0094] See also Figure 1 The application embodiment provides an intelligent ascites drainage monitoring method, including:

[0095] S101: Obtaining the instantaneous flow rate data of the flushing liquid;

[0096] Specifically, in some embodiments, the execution body of the intelligent peritoneal drainage monitoring method is connected to a first flow velocity sensor installed in the flushing liquid inlet pipeline by wired connection or wireless connection to obtain the collected instantaneous flow velocity data. Exemplarily, the number of the first flow velocity sensor is one. Of course, the present application is not limited to this. In other embodiments, the number of the first flow velocity sensors can also be multiple.

[0097] Preferably, in some embodiments, the execution subject can obtain the flushing liquid instantaneous flow rate data through the following steps:

[0098] The first step is to collect the instantaneous flow rate data of the flushing liquid to form the first signal;

[0099] The second step is to decompose the first signal into a plurality of intrinsic mode component signals by applying a preset signal decomposition algorithm;

[0100] The third step is to apply fast Fourier transform to each intrinsic mode component signal to convert the intrinsic mode component signal into the frequency domain to obtain the frequency component;

[0101] Step 4, drawing a first spectrum diagram according to the frequency components;

[0102] Step 5: Analyze the first spectrum diagram and identify the aliasing component signal to obtain a second spectrum diagram;

[0103] Step 6, identifying and extracting the maximum intensity in the second spectrum as the first intensity;

[0104] Step 7: Calculate the product of the first intensity and the preset ratio to obtain a screening intensity threshold; filter out data points with intensities greater than the screening intensity threshold to form an optimized spectrum curve;

[0105] Step 8, identifying and dividing the optimized spectrum curve into multiple data segments by optimizing the extreme points of the spectrum curve;

[0106] Step 9, select the smallest data segment from all data segments, and set the frequency corresponding to the maximum intensity in the smallest data segment as the reference frequency of white noise;

[0107] Step 10, calculating the amplitude mean of all data points in the second spectrum graph, and multiplying it by a predetermined ratio to determine the reference amplitude of the white noise;

[0108] In the eleventh step, the aliasing component signal identified from the first spectrum diagram is divided into a plurality of signal segments; by comparing the maximum intensity corresponding frequency of each signal segment with the maximum intensity corresponding frequency of the aliasing component signal, a frequency ratio is determined as a first ratio;

[0109] Step 12, negatively correlate the first ratio and multiply it by the base frequency to obtain the added frequency;

[0110] Step 13, calculating the product of the first ratio and the reference amplitude to obtain the added amplitude;

[0111] Step 14, adding white noise to the aliasing component signal based on the added frequency and the added amplitude to generate an updated aliasing component signal;

[0112] Step 15, according to the white noise adding parameters of each signal segment, determine the corresponding filter kernel parameters;

[0113] Step 16, decomposing the updated aliasing component signal and filtering it using the filter kernel parameters until no new aliasing component signal is generated, so as to obtain an optimized component signal;

[0114] In the seventeenth step, the optimized component signals are recombined to obtain the optimized flushing liquid instantaneous flow rate data for calculating the total accumulation volume. In this way, the noise can be accurately removed, the quality of the real signal can be improved, and the accuracy of subsequent data calculation and analysis can be improved.

[0115] S102: Obtaining the total amount of liquid imbibed in the first predetermined time period;

[0116] Specifically, in some embodiments, the executor of the intelligent ascites drainage monitoring method is connected to an electronic scale by wired or wireless connection to obtain the weighing result of the electronic scale on the aspiration collection container, and calculates the total aspiration volume based on the weighing result.

[0117] The specific calculation formula for the total liquid absorption is as follows:

[0118]

[0119] Where:

[0120] Q out : Total amount of liquid sucked out, which means the total amount of liquid sucked out from the abdominal cavity through the suction tube within the predetermined time period T1.

[0121] W initial : The first weight represents the weight of the liquid collection container at the beginning of a predetermined time period (including the weight of the empty container and the weight of the liquid in the container).

[0122] W final : A second weight, representing the weight of the imbibition collection container at the end of a predetermined time period.

[0123] ρ: represents the density of the flushing fluid.

[0124] S103: Calculate the total accumulation within the first predetermined time period based on the instantaneous flow rate data of the flushing liquid and the total liquid absorption volume; determine whether the total accumulation is greater than a first preset threshold value, and issue a first alarm signal when the total accumulation is greater than the first preset threshold value.

[0125] Specifically, the step of calculating the total accumulation amount within the first predetermined time period according to the flushing liquid instantaneous flow rate data and the total liquid absorption amount includes:

[0126] The first step is to calculate the total amount of liquid inflow based on the instantaneous flow rate data of the flushing liquid inflow. The specific formula is as follows:

[0127]

[0128] Where:

[0129] Q out : Total amount of liquid inflow. It indicates the total amount of liquid that enters the abdominal cavity through the liquid inflow pipe within the predetermined time period T1.

[0130] v(t): Instantaneous flow velocity. It indicates the flow velocity of the liquid in the liquid inlet pipe at time t.

[0131] t: time. It represents the time variable of flow rate acquisition and is used to describe the change of inlet flow rate over time.

[0132] T1: The first predetermined time period, which indicates the time interval used to calculate the total amount of liquid inflow.

[0133] The second step is to calculate the total accumulation amount based on the total amount of liquid input and the total amount of liquid absorbed; the specific formula is as follows:

[0134] Q accum =Q in -Q out

[0135] Where: Q accum : Total accumulation, which indicates the net accumulation of fluid in the peritoneal cavity within the predetermined time period T1.

[0136] S104: Calculating the drainage efficiency according to the total accumulation amount, determining whether the drainage efficiency is less than a third preset threshold, and issuing a second alarm signal when the drainage efficiency is less than the third preset threshold;

[0137] The specific formula for calculating drainage efficiency based on the total accumulation volume is as follows:

[0138]

[0139] Where: E drain : Drainage efficiency, which refers to the percentage of the amount of sucked out liquid relative to the amount of incoming liquid within a predetermined time period T1.

[0140] S105: Controlling the alarm to sound an alarm in response to the first alarm signal or the second alarm signal.

[0141] Specifically, the specific location of the alarm is determined according to actual needs. For example, the alarm can be set in a ward or a nurse station.

[0142] Preferably, the intelligent peritoneal drainage monitoring method also includes the following steps: determining whether the total accumulation is less than a second preset threshold, and issuing a first alarm signal when the total accumulation is less than the second preset threshold, wherein the second preset threshold is a negative value and the first preset threshold is a positive value. In this way, it has the ability of two-way detection, which can not only identify the risk of excessive water accumulation, but also detect the risk of insufficient water accumulation. Specifically, it can effectively avoid the problem of being unable to effectively remove inflammatory substances and bacteria in the abdominal cavity due to insufficient water accumulation.

[0143] Preferably, the intelligent peritoneal drainage monitoring method further comprises the following steps: determining whether the instantaneous flow rate data of the flushing fluid is within a preset flow rate range, and when it is outside the preset flow rate range, issuing a third alarm signal, and the alarm module controls the alarm to issue an alarm in response to the third alarm signal. In this way, the flow rate can be ensured to be maintained within a reasonable range, which helps to maintain the efficiency and safety of drainage and avoid drainage failure or complications caused by abnormal flow rate.

[0144] In some embodiments, the intelligent peritoneal drainage monitoring method further comprises the following steps:

[0145] The first step is to obtain real-time suction negative pressure and the patient's real-time heart rate, blood pressure, respiratory rate and basic information data;

[0146] The second step is to compare the acquired heart rate, blood pressure, respiratory rate and flushing liquid instantaneous flow rate data with the preset normal value range; when it exceeds the normal value range, a flag signal marking the abnormal moment is generated, including the abnormal type and timestamp;

[0147] The third step is to store the real-time suction negative pressure and the patient's real-time heart rate, blood pressure, respiratory rate, and flushing liquid instantaneous flow rate data in the form of time series; the basic information is stored in the form of static text;

[0148] The fourth step is to generate video frames according to the time series data. Each time a video frame is generated, the data of the current time point is extracted from the time series and embedded into the current video frame.

[0149] Step 5: Receive the abnormal flag signal, mark the time when the abnormality occurs on the corresponding video frame according to the timestamp, and display the abnormality type;

[0150] In the sixth step, all generated video frames are encoded in chronological order to generate a complete video file, which is then sent to the preset terminal. This makes it easier for the medical team to conduct a comprehensive reflection and analysis after the drainage is completed, summarizing the successful experiences and shortcomings in the drainage process, thereby promoting the accumulation of clinical experience. In addition, this can also provide real case study materials for new medical personnel, helping to pass on clinical experience.

[0151] See also Figure 2 Based on the same inventive concept as the intelligent ascites drainage monitoring method in the aforementioned embodiment, the embodiment of the present application provides an intelligent ascites drainage monitoring system, including:

[0152] The liquid inlet monitoring module 201 is used to obtain the instantaneous flow rate data of the flushing liquid inlet;

[0153] A liquid aspiration monitoring module 202, the liquid aspiration monitoring module is used to obtain the total liquid aspiration amount in the first predetermined time period;

[0154] The accumulation monitoring module 203 is used to calculate the total accumulation within a first predetermined time period according to the instantaneous flow rate data of the flushing liquid and the total liquid absorption volume; determine whether the total accumulation is greater than a first preset threshold value, and issue a first alarm signal when the total accumulation is greater than the first preset threshold value;

[0155] The drainage efficiency monitoring module 204 is used to calculate the drainage efficiency according to the total accumulation amount, determine whether the drainage efficiency is less than a third preset threshold, and issue a second alarm signal when the drainage efficiency is less than the third preset threshold;

[0156] The alarm module 205 controls an alarm device to sound an alarm in response to the first alarm signal or the second alarm signal.

[0157] In some embodiments, the accumulation monitoring module 203 is further used to determine whether the total accumulation is less than a second preset threshold, and to issue a first alarm signal when the total accumulation is less than the second preset threshold, wherein the second preset threshold is a negative value and the first preset threshold is a positive value.

[0158] In some embodiments, the liquid inlet monitoring module 201 is used to obtain the instantaneous flow rate data collected by the first flow rate sensor installed in the flushing liquid inlet pipeline, and the liquid absorption monitoring module 201 obtains the weighing result of the liquid absorption collection container by the electronic scale, and calculates the total liquid absorption amount based on the weighing result.

[0159] In some embodiments, the liquid inlet monitoring module 201 is also used to determine whether the instantaneous flow rate data of the flushing liquid inlet is within a preset flow rate range. When it is outside the preset flow rate range, a third alarm signal is issued, and the alarm module 205 controls the alarm to issue an alarm in response to the third alarm signal.

[0160] In some embodiments, the intelligent peritoneal drainage monitoring system also includes a video generation module 206, which is used to obtain real-time suction negative pressure and the patient's real-time heart rate, blood pressure, respiratory rate and basic information data; compare the acquired heart rate, blood pressure, respiratory rate and instantaneous flow rate data of the flushing liquid with the preset normal value range; when the normal value range is exceeded, generate a flag signal marking the abnormal moment, including the abnormality type and timestamp; store the real-time suction negative pressure and the patient's real-time heart rate, blood pressure, respiratory rate, and instantaneous flow rate data of the flushing liquid in the form of a time series; store the basic information in the form of static text; generate video frames according to the time series data, and each time a video frame is generated, extract the data of the current time point from the time series and embed it into the current video frame; receive the abnormal flag signal, mark the time when the abnormality occurs on the corresponding video frame according to the timestamp, and display the abnormality type; encode all generated video frames in chronological order, generate a complete video file, and send it to a preset terminal.

[0161] In some embodiments, the liquid inlet monitoring module 201 is also specifically used to: collect the instantaneous flow rate data of the flushing liquid inlet to form a first signal; apply a preset signal decomposition algorithm to decompose the first signal into multiple intrinsic mode component signals; for each intrinsic mode component signal, apply fast Fourier transform to convert the intrinsic mode component signal to the frequency domain to obtain a frequency component; draw a first spectrum diagram according to the frequency component; analyze the first spectrum diagram to identify the aliasing component signal to obtain a second spectrum diagram; identify and extract the maximum intensity in the second spectrum diagram as the first intensity; calculate the product of the first intensity and the preset ratio to obtain a screening intensity threshold; filter out data points with intensities greater than the screening intensity threshold to form an optimized spectrum curve; identify and divide the optimized spectrum curve into multiple data segments through the extreme points of the optimized spectrum curve; select the smallest data segment from all data segments, and set the frequency corresponding to the maximum intensity in the smallest data segment as the reference frequency of white noise; calculate the second spectrum diagram The amplitude mean of the data points is multiplied by a predetermined ratio to determine the reference amplitude of the white noise; the aliasing component signal identified from the first spectrum diagram is divided into multiple signal segments; the frequency ratio is determined as the first ratio by comparing the maximum intensity corresponding frequency of each signal segment with the maximum intensity corresponding frequency of the aliasing component signal; the first ratio is negatively correlated and multiplied by the reference frequency to obtain the added frequency; the product of the first ratio and the reference amplitude is calculated to obtain the added amplitude; based on the added frequency and the added amplitude, white noise is added to the aliasing component signal to generate an updated aliasing component signal; according to the white noise addition parameters of each signal segment, the corresponding filter kernel parameters are determined; the updated aliasing component signal is decomposed and filtered using the filter kernel parameters until no new aliasing component signal is generated to obtain the optimized component signal; the optimized component signal is recombined to obtain the optimized flushing liquid instantaneous flow rate data for calculating the total accumulation amount.

[0162] It is understandable that the modules recorded in the intelligent peritoneal drainage monitoring system are similar to those in the reference Figure 1 Therefore, the operations, features and beneficial effects described above for the method are also applicable to the intelligent peritoneal drainage monitoring system and the modules contained therein, and will not be described in detail here.

[0163] See also Figure 3, based on the inventive concept of an intelligent ascites drainage monitoring method in the aforementioned embodiment, an embodiment of the present application provides an electronic device. The electronic device may include but is not limited to mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), etc., and fixed terminals such as digital TVs, desktop computers, etc. The electronic device includes a processing device 301 (such as a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a ROM 302 (read-only memory) or a program loaded from a storage device 308 into a RAM 303 (random access memory). In RAM 303, various programs and data required for the operation of the electronic device are also stored. The processing device 301, ROM 302, and RAM 303 are connected to each other via a bus 304. The input / output interface (i.e., an I / O interface 305) is also connected to the bus 304.

[0164] Typically, the following devices may be connected to the I / O interface 305: an input device 306 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 308 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 309. The communication device 309 may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data.

[0165] In particular, according to some embodiments of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, some embodiments of the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In some such embodiments, the computer program can be downloaded and installed from the network through the communication device 309, or installed from the storage device 308, or installed from the ROM 302. When the computer program is executed by the processing device 301, the above-mentioned functions defined in the method of some embodiments of the present application are executed.

[0166] It should be noted that the computer-readable medium recorded in some embodiments of the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In some embodiments of the present application, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, device or device. In some embodiments of the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0167] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0168] The computer-readable medium may be included in the electronic device, or may exist independently without being installed in the electronic device. The computer-readable medium carries one or more programs, and when the one or more programs are executed by the electronic device, the method steps of any of the above technical solutions may be implemented.

[0169] The computer program code for performing the operation of some embodiments of the present application can be written in one or more programming languages ​​or a combination thereof, and the above-mentioned programming languages ​​include object-oriented programming languages, such as Java, Smalltalk, C++, and also include conventional procedural programming languages, such as "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on the remote computer, or completely on the remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (e.g., using an Internet service provider to connect through the Internet).

[0170] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0171] The modules described in some embodiments of the present application may be implemented in software or hardware, and the modules described may also be arranged in a processor.

[0172] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0173] Some embodiments of the present application also provide a computer program product, including a computer program, which implements any of the above-mentioned intelligent ascites drainage monitoring methods when executed by a processor.

[0174] Those skilled in the art will appreciate that in one or more of the above examples, the functions described in the present invention can be implemented using a combination of hardware and software. When software is used, the corresponding functions can be stored in a computer-readable medium or transmitted as one or more instructions or codes on a computer-readable medium. Computer-readable media include computer storage media and communication media, wherein communication media include any media that facilitates the transmission of computer programs from one place to another. Storage media can be any available media that can be accessed by general or special-purpose computers.

[0175] Although the present invention has been described in detail above by general description and specific embodiments, it is obvious to those skilled in the art that some modifications or improvements can be made to the present invention. Therefore, these modifications or improvements made without departing from the spirit of the present invention all belong to the scope of protection claimed by the present invention.

Claims

1. An intelligent ascites drainage monitoring system, characterized in that: include: A liquid inlet monitoring module, which is used to obtain instantaneous flow rate data of flushing liquid inlet; A liquid aspiration monitoring module, the liquid aspiration monitoring module is used to obtain a total liquid aspiration amount in a first predetermined time period; An accumulation monitoring module, the accumulation monitoring module is used to calculate the total accumulation within a first predetermined time period according to the flushing liquid instantaneous flow rate data and the total liquid absorption amount; determine whether the total accumulation is greater than a first preset threshold value, and issue a first alarm signal when the total accumulation is greater than the first preset threshold value; a drainage efficiency monitoring module, the drainage efficiency monitoring module being used to calculate the drainage efficiency according to the total accumulation amount, determine whether the drainage efficiency is less than a third preset threshold, and issue a second alarm signal when the drainage efficiency is less than the third preset threshold; An alarm module controls an alarm to sound an alarm in response to the first alarm signal or the second alarm signal.

2. The intelligent ascites drainage monitoring system according to claim 1, characterized in that: The accumulation monitoring module is also used to determine whether the total accumulation is less than a second preset threshold, and to send the first alarm signal when the total accumulation is less than the second preset threshold, wherein the second preset threshold is a negative value and the first preset threshold is a positive value.

3. The intelligent ascites drainage monitoring system according to claim 1 or 2, characterized in that: The liquid inlet monitoring module is used to obtain the instantaneous flow rate data collected by the first flow rate sensor installed in the flushing liquid inlet pipeline. The liquid absorption monitoring module obtains the weighing result of the liquid absorption collection container by the electronic scale and calculates the total liquid absorption amount based on the weighing result.

4. The intelligent ascites drainage monitoring system according to claim 3, characterized in that: The liquid inlet monitoring module is also used to determine whether the instantaneous flow rate data of the flushing liquid inlet is within a preset flow rate range. When it is outside the preset flow rate range, a third alarm signal is issued. The alarm module controls the alarm to issue an alarm in response to the third alarm signal.

5. The intelligent ascites drainage monitoring system according to claim 1, characterized in that: It also includes a video generation module, which is used to obtain real-time suction negative pressure and the patient's real-time heart rate, blood pressure, respiratory rate and basic information data; Compare the acquired heart rate, blood pressure, respiratory rate and flushing fluid instantaneous flow rate data with the preset normal value range; When the normal value range is exceeded, a flag signal is generated to mark the abnormal moment, including the abnormal type and timestamp; The real-time suction negative pressure and the patient's real-time heart rate, blood pressure, respiratory rate, and flushing liquid instantaneous flow rate data are stored in the form of time series; basic information is stored in the form of static text; Generate video frames according to time series data. Each time a video frame is generated, the data of the current time point is extracted from the time series and embedded into the current video frame. Receive the abnormal flag signal, mark the time when the abnormality occurs on the corresponding video frame according to the timestamp, and display the abnormality type; All generated video frames are encoded in chronological order to generate a complete video file, which is then sent to the preset terminal.

6. The intelligent ascites drainage monitoring system according to claim 1 or 5, characterized in that: The liquid inlet monitoring module is also specifically used for: Collecting the instantaneous flow rate data of the flushing liquid to form a first signal; Decomposing the first signal into a plurality of intrinsic mode component signals by applying a preset signal decomposition algorithm; For each of the intrinsic mode component signals, a fast Fourier transform is applied to convert the intrinsic mode component signal into a frequency domain to obtain a frequency component; Draw a first spectrum diagram according to the frequency components; Analyzing the first spectrum graph to identify aliased component signals to obtain a second spectrum graph; identifying and extracting the maximum intensity in the second spectrum as the first intensity; Calculating the product of the first intensity and a preset ratio to obtain a screening intensity threshold; screening out data points with intensities greater than the screening intensity threshold to form an optimized spectrum curve; Identify and segment the optimized frequency spectrum curve into a plurality of data segments through the extreme value points of the optimized frequency spectrum curve; Selecting a smallest data segment from all data segments, and setting a frequency corresponding to a maximum intensity in the smallest data segment as a reference frequency of white noise; Calculate the amplitude mean of all data points in the second spectrum graph and multiply it by a predetermined ratio to determine a reference amplitude of white noise; Divide the aliasing component signal identified from the first spectrum diagram into a plurality of signal segments; determine a frequency ratio as a first ratio by comparing the maximum intensity corresponding frequency of each signal segment with the maximum intensity corresponding frequency of the aliasing component signal; The first ratio is negatively correlated and multiplied by the base frequency to obtain the added frequency; Calculate the product of the first ratio and the reference amplitude to obtain an added amplitude; Adding white noise to the aliasing component signal based on the adding frequency and the adding amplitude to generate an updated aliasing component signal; According to the white noise adding parameters of each signal segment, the corresponding filter kernel parameters are determined; Decomposing the updated aliasing component signal and filtering it using the filter kernel parameters until no new aliasing component signal is generated, so as to obtain an optimized component signal; The optimized component signals are recombined to obtain optimized flushing liquid instantaneous flow rate data for calculating the total accumulation amount.

7. An intelligent ascites drainage monitoring method, characterized in that: include: Obtain the instantaneous flow rate data of the flushing liquid; Obtaining a total amount of liquid imbibed during a first predetermined time period; Calculate the total accumulation amount within a first predetermined time period according to the instantaneous flow rate data of the flushing liquid and the total liquid absorption amount; determine whether the total accumulation amount is greater than a first preset threshold value, and issue a first alarm signal when the total accumulation amount is greater than the first preset threshold value; Calculating the drainage efficiency according to the total accumulation amount, determining whether the drainage efficiency is less than a third preset threshold, and issuing a second alarm signal when the drainage efficiency is less than the third preset threshold; In response to the first alarm signal or the second alarm signal, an alarm is controlled to sound an alarm.

8. An electronic device, characterized in that: include: one or more processors; a storage device having one or more programs stored thereon; When the one or more programs are executed by the one or more processors, the one or more processors implement the method as claimed in claim 7.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processing device, the method according to claim 7 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processing device, the method according to claim 7 is implemented.

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