A method and system for monitoring vital signs data of patients under hemodialysis

Abstract

The present invention relates to the field of deep learning technology, and discloses a method and system for monitoring patient vital signs data under hemodialysis, the method comprising: performing baseline analysis on hemodialysis patients, analyzing the dry weight of hemodialysis patients, and calculating the target ultrafiltration volume of dry weight; analyzing the personalized factors of hemodialysis patients during hemodialysis, identifying the vital signs fluctuation pattern of hemodialysis patients during hemodialysis, and analyzing the patient psychological factors affecting the vital signs fluctuation pattern; analyzing the degree of change of the vital signs fluctuation pattern by the personalized intervention mechanism, and constructing a psychological monitoring system for hemodialysis patients; setting an information interconnection interface between the psychological monitoring system and the vital signs monitoring equipment, setting an abnormal vital signs alarm for hemodialysis patients, and analyzing the emotional fluctuations of hemodialysis patients during hemodialysis; adjusting the acceptable dynamic interval of the abnormal vital signs alarm in real time to obtain the adjustment interval. The present invention can monitor the vital signs data of patients in a psychological state.

Description

Technical Field

[0001] The present invention relates to the field of deep learning technology, and in particular to a method and system for monitoring vital sign data of patients under hemodialysis. Background Art

[0002] Patient vital signs data monitoring refers to the continuous and real-time monitoring of the patient's basic physiological parameters, including body temperature, heart rate, respiratory rate and blood pressure. Through patient vital signs data monitoring, medical staff can promptly detect changes in the patient's condition and adjust the treatment plan to improve the patient's safety and treatment effect. With the continuous advancement of medical standards, patient vital signs data monitoring technology has been widely used in the treatment of hemodialysis patients.

[0003] At present, during the monitoring of patients' vital signs data under hemodialysis, the psychological state of the patients is not monitored. The patients' psychological state is gradually unbalanced due to the periodicity of hemodialysis and the dialysis effect, which leads to large mood swings in the patients during the monitoring process, which is easy to cause complications and thus affect the quality of the patients' hemodialysis. Therefore, a solution is urgently needed to monitor the vital signs data of patients under psychological state. Summary of the invention

[0004] In order to solve the above problems, the present invention provides a method and system for monitoring vital sign data of patients under hemodialysis, which can monitor the vital sign data of patients under psychological state.

[0005] In a first aspect, the present invention provides a method for monitoring vital sign data of a patient under hemodialysis, comprising:

[0006] Obtaining a medical history report of a hemodialysis patient, performing a baseline analysis on the hemodialysis patient based on the medical history report to obtain a baseline analysis result, analyzing the dry weight of the hemodialysis patient based on the baseline analysis result, and calculating a target ultrafiltration volume of the dry weight;

[0007] Analyzing personalized factors of the hemodialysis patient during the hemodialysis process, and based on the personalized factors, identifying the physical sign fluctuation pattern of the hemodialysis patient during the hemodialysis process, and analyzing the patient's psychological factors that affect the physical sign fluctuation pattern;

[0008] Based on the patient's psychological factors, a psychological analysis is performed on the hemodialysis patient to obtain a psychological analysis result, a personalized intervention mechanism for the psychological analysis result is constructed, and the degree of change of the physical sign fluctuation pattern by the personalized intervention mechanism is analyzed. When the degree of change is greater than the expected effect, a psychological monitoring system for the hemodialysis patient is constructed;

[0009] Configuring a vital sign monitoring device for the target ultrafiltration volume, and setting an information interconnection interface between the psychological monitoring system and the vital sign monitoring device, and setting an abnormal vital sign alarm for the hemodialysis patient based on the information interconnection interface, and analyzing the emotional fluctuations of the hemodialysis patient during the hemodialysis process;

[0010] Based on the emotional fluctuations, the acceptable dynamic interval of the abnormal vital sign alarm is adjusted in real time to obtain an adjusted interval, and the adjusted interval is used as the vital sign data monitoring result of the hemodialysis patient.

[0011] In a possible implementation of the first aspect, performing a baseline analysis on the hemodialysis patient based on the previous medical history report to obtain a baseline analysis result includes:

[0012] Based on the previous medical history report, basic physical sign measurements are performed on the hemodialysis patient to obtain basic physical sign measurement results;

[0013] Based on the previous medical history report, measuring the biochemical indexes of the hemodialysis patient to obtain the biochemical index measurement results;

[0014] Analyzing the pre-dialysis physical condition of the hemodialysis patient based on the basic physical sign measurement results and the biochemical index measurement results;

[0015] The pre-dialysis physical condition was taken as the baseline analysis result.

[0016] In a possible implementation of the first aspect, the analyzing the personalized factors of the hemodialysis patient during the hemodialysis process includes:

[0017] Analyzing the physical health status of the hemodialysis patient;

[0018] Based on the physical health condition, analyzing the previous complication records of the hemodialysis patient;

[0019] Analyzing the dialysis adequacy index of the hemodialysis patient based on the previous complication records;

[0020] Based on the dialysis adequacy index, risk analysis is performed on the previous complication records to obtain a risk level;

[0021] Using the risk level as the complication risk index;

[0022] The complication risk index is used to identify personalized factors of the hemodialysis patient during the hemodialysis process.

[0023] In a possible implementation of the first aspect, analyzing the dialysis adequacy index of the hemodialysis patient based on the previous complication record includes:

[0024] Calculating the urea clearance index of the hemodialysis patient based on the previous complication records;

[0025] Calculating the dialysis clearance of the hemodialysis patient based on the previous complication records;

[0026] The urea clearance index and the dialysis clearance amount are used as the dialysis adequacy indicators.

[0027] In a possible implementation of the first aspect, analyzing the patient's psychological factors that affect the physical sign fluctuation pattern includes:

[0028] Recording patient-doctor communication statements in a time series corresponding to the physical sign fluctuation pattern;

[0029] Extracting patient psychological characteristics from the patient-doctor communication statements;

[0030] Based on the patient's psychological characteristics, calculating the patient's psychological probability corresponding to the patient-doctor communication statement;

[0031] using the patient psychological probability to identify the patient psychological category corresponding to the patient-doctor communication statement;

[0032] The patient psychological categories are used to analyze patient psychological factors that affect the physical sign fluctuation pattern.

[0033] In a possible implementation of the first aspect, analyzing the patient's psychological factors affecting the physical sign fluctuation pattern by using the patient's psychological category includes:

[0034] Performing value assignment processing on the patient's psychological category to obtain a valued psychological category;

[0035] Using the patient's psychological probability, construct a valued psychological sequence corresponding to the valued psychological category in the time series corresponding to the physical sign fluctuation pattern;

[0036] calculating the correlation between the physical sign fluctuation pattern and the assigned psychological sequence;

[0037] When the correlation is greater than a preset correlation, the target assigned psychology corresponding to the correlation in the assigned psychology sequence is used as the patient psychological factor that affects the physical sign fluctuation pattern.

[0038] In a possible implementation of the first aspect, setting an information interconnection interface between the psychological monitoring system and the vital sign monitoring device includes:

[0039] Collecting monitoring data of the psychological monitoring system and the physical sign monitoring device;

[0040] Performing standardization processing on the monitoring data to obtain standardized data;

[0041] Constructing a data integration system for the standardized data;

[0042] Based on the data integration system, analyzing the correlation data between the psychological monitoring system and the vital sign monitoring device in real time;

[0043] Constructing a visualization interface for the associated data;

[0044] The visualization interface is used as the information interconnection interface.

[0045] In a possible implementation of the first aspect, setting an abnormal vital sign alarm for the hemodialysis patient based on the information interconnection interface includes:

[0046] Based on the information interconnection interface, setting a preset threshold value for the hemodialysis patient;

[0047] Setting the alarm triggering mode of the preset threshold;

[0048] Based on the preset threshold and the alarm triggering mode, an abnormal vital sign alarm of the hemodialysis patient is determined.

[0049] In a possible implementation of the first aspect, adjusting the acceptable dynamic interval of the abnormal vital sign alarm in real time based on the emotional fluctuation to obtain the adjusted interval includes:

[0050] Calculating the emotional mean of the emotional fluctuations;

[0051] Calculating the emotional difference between the emotional fluctuation and the emotional mean;

[0052] When the emotion difference is the maximum difference, collecting a first target fluctuation corresponding to the maximum difference from the emotion fluctuation;

[0053] Querying a first collection time when collecting a first target fluctuation corresponding to the emotion difference;

[0054] When the emotion difference is a minimum difference, collecting a second target fluctuation corresponding to the minimum difference from the emotion fluctuation;

[0055] Querying a second collection time when collecting a second target fluctuation corresponding to the emotion difference;

[0056] Calculating the physical sign difference between the physiological parameter at the first acquisition moment and the physiological parameter at the second acquisition moment;

[0057] Normalizing the physical sign difference to obtain a normalized physical sign difference;

[0058] Based on the normalized vital sign difference, an acceptable dynamic interval for adjusting the vital sign abnormality alarm is calculated to obtain an adjustment interval.

[0059] In a second aspect, the present invention provides a patient vital sign data monitoring system for hemodialysis, the system comprising:

[0060] An ultrafiltration volume calculation module is used to obtain a medical history report of a hemodialysis patient, perform a baseline analysis on the hemodialysis patient based on the medical history report, obtain a baseline analysis result, analyze the dry weight of the hemodialysis patient based on the baseline analysis result, and calculate a target ultrafiltration volume of the dry weight;

[0061] A factor analysis module, used for analyzing the personalized factors of the hemodialysis patient during the hemodialysis process, and based on the personalized factors, identifying the physical sign fluctuation pattern of the hemodialysis patient during the hemodialysis process, and analyzing the patient's psychological factors that affect the physical sign fluctuation pattern;

[0062] A system construction module, for performing a psychological analysis on the hemodialysis patient based on the patient's psychological factors, obtaining a psychological analysis result, constructing a personalized intervention mechanism for the psychological analysis result, and analyzing the degree of change of the physical sign fluctuation pattern by the personalized intervention mechanism. When the degree of change is greater than the expected effect, constructing a psychological monitoring system for the hemodialysis patient;

[0063] An emotion analysis module, used to configure the target ultrafiltration volume vital sign monitoring device, and set an information interconnection interface between the psychological monitoring system and the vital sign monitoring device, and based on the information interconnection interface, set an abnormal vital sign alarm for the hemodialysis patient, and analyze the emotional fluctuations of the hemodialysis patient during the hemodialysis process;

[0064] The interval adjustment module is used to adjust the acceptable dynamic interval of the abnormal vital sign alarm in real time based on the emotional fluctuation, obtain the adjusted interval, and use the adjusted interval as the vital sign data monitoring result of the hemodialysis patient.

[0065] Compared with the prior art, the technical principle and beneficial effects of this solution are:

[0066] The embodiment of the present invention can help doctors develop personalized treatment plans by obtaining the medical history report of the hemodialysis patient. Furthermore, the embodiment of the present invention can identify the patient's abnormal conditions and reduce the risk of complications by performing a baseline analysis on the hemodialysis patient based on the medical history report to obtain a baseline analysis result. Furthermore, the embodiment of the present invention can improve the safety of the dialysis process and reduce dialysis complications by analyzing the dry weight of the hemodialysis patient based on the baseline analysis result. Furthermore, the embodiment of the present invention can ensure that the patient's hemodialysis process can be carried out effectively and reduce the risk of physical discomfort to the patient by calculating the target ultrafiltration volume of the dry weight. By analyzing the personalized factors of the hemodialysis patient during the hemodialysis process, the accuracy of the patient's vital sign monitoring data can be improved. Furthermore, the embodiment of the present invention can provide a basis for formulating a personalized treatment plan for the patient by identifying the vital sign fluctuation pattern of the hemodialysis patient during the hemodialysis process based on the personalized factors. Furthermore, the embodiment of the present invention can help the patient better adapt to the hemodialysis process by analyzing the patient's psychological factors that affect the vital sign fluctuation pattern. The embodiment of the present invention can help the patient identify psychological barriers during the hemodialysis process by performing a psychological analysis on the hemodialysis patient based on the patient's psychological factors to obtain a psychological analysis result. Furthermore, the embodiment of the present invention can By constructing a personalized intervention mechanism based on the psychological analysis results, the patient's participation can be enhanced and the patient can actively cooperate with the dialysis work. Furthermore, the embodiment of the present invention can analyze the degree of change of the physical sign fluctuation pattern by the personalized intervention mechanism, so that the patient can better control the physical signs and reduce the physical sign fluctuations caused by psychological factors. Furthermore, the embodiment of the present invention can improve the patient's overall dialysis experience and improve the quality of physical sign data monitoring by constructing a psychological monitoring system for the hemodialysis patient when the degree of change is greater than the expected effect. The embodiment of the present invention can reduce the risk of abnormal physical signs of patients during hemodialysis by configuring the physical sign monitoring equipment of the target ultrafiltration amount. Furthermore, the embodiment of the present invention can construct a psychological monitoring system for the hemodialysis patient when the degree of change is greater than the expected effect. The information interconnection interface between the psychological monitoring system and the vital sign monitoring device can monitor the patient's psychological changes in real time during the vital sign data monitoring process, and improve the measurement accuracy of the vital sign data. Furthermore, the embodiment of the present invention sets an abnormal vital sign alarm for the hemodialysis patient based on the information interconnection interface, and can promptly discover and deal with the patient's abnormal conditions. Furthermore, the embodiment of the present invention analyzes the emotional fluctuations of the hemodialysis patient during the hemodialysis process to prevent the patient from developing psychological diseases, thereby affecting the dialysis effect. The embodiment of the present invention adjusts the acceptable dynamic range of the abnormal vital sign alarm in real time based on the emotional fluctuations, and can balance the sensitivity of the abnormal vital sign alarm and reduce unnecessary alarms.Therefore, the embodiment of the present invention provides a method and system for monitoring the vital signs data of a patient under hemodialysis, which can monitor the vital signs data of the patient under psychological state. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0068] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0069] Figure 1 A schematic diagram of a flow chart of a method for monitoring vital sign data of a patient under hemodialysis provided by an embodiment of the present invention;

[0070] Figure 2 A schematic diagram of a module of a patient vital sign data monitoring system for hemodialysis provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0071] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0072] The embodiment of the present invention provides a method for monitoring patient vital signs data under hemodialysis, and the execution subject of the method for monitoring patient vital signs data under hemodialysis includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present invention. In other words, the method for monitoring patient vital signs data under hemodialysis can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc. The server can be an independent server, or it can be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and big data and artificial intelligence platforms.

[0073] See also Figure 1 FIG. 1 is a flow chart of a method for monitoring vital signs of a patient under hemodialysis provided by an embodiment of the present invention. Figure 1The method for monitoring vital signs of patients under hemodialysis described in the invention includes:

[0074] S1. Obtain a medical history report of a hemodialysis patient, perform a baseline analysis on the hemodialysis patient based on the medical history report to obtain a baseline analysis result, analyze the dry weight of the hemodialysis patient based on the baseline analysis result, and calculate a target ultrafiltration volume of the dry weight.

[0075] The embodiment of the present invention can help doctors develop personalized treatment plans by obtaining the medical history report of hemodialysis patients. The medical history report refers to diseases, health problems, surgical experiences and any related medical reports that a person has suffered in the past, which can be obtained through historical medical diagnosis records.

[0076] Furthermore, the embodiment of the present invention performs a baseline analysis on the hemodialysis patient based on the previous medical history report to obtain a baseline analysis result, which can identify the patient's abnormal condition and reduce the risk of complications. The baseline analysis result refers to an initial examination report obtained by examining the patient's health condition before undergoing hemodialysis.

[0077] As an embodiment of the present invention, the baseline analysis is performed on the hemodialysis patient based on the previous medical history report to obtain the baseline analysis result, including: based on the previous medical history report, basic physical signs of the hemodialysis patient are measured to obtain basic physical signs measurement results; based on the previous medical history report, biochemical indexes of the hemodialysis patient are measured to obtain biochemical index measurement results; based on the basic physical signs measurement results and the biochemical index measurement results, the pre-dialysis physical condition of the hemodialysis patient is analyzed; and the pre-dialysis physical condition is used as the baseline analysis result.

[0078] Among them, the basic vital sign measurement results refer to the measurement data of a series of basic physiological indicators of the hemodialysis patient before hemodialysis, including weight, blood pressure and respiratory rate, etc. The biochemical indicator measurement results refer to the data on the levels of chemical substances in the human body obtained through laboratory tests, including blood, urine and glycoprotein, etc. The pre-dialysis physical condition refers to the patient's physical condition before starting dialysis treatment.

[0079] Optionally, the basic physical sign measurement of the hemodialysis patient based on the previous medical history report can be obtained through a physiological sign measuring instrument, and the biochemical index measurement of the hemodialysis patient based on the previous medical history report can be achieved through laboratory examination.

[0080] Furthermore, the embodiments of the present invention can improve the safety of the dialysis process and reduce dialysis complications by analyzing the dry weight of the hemodialysis patient based on the baseline analysis results. The dry weight refers to the ideal weight of the patient in the absence of edema and fluid overload, which can be obtained through bioelectrical impedance analysis.

[0081] Furthermore, the embodiment of the present invention can ensure that the patient's hemodialysis process can be carried out effectively and reduce the risk of physical discomfort to the patient by calculating the target ultrafiltration volume of the dry body weight. The target ultrafiltration volume refers to the amount of fluid that needs to be removed from the patient's body during the dialysis process, which can be obtained by the difference between the patient's current weight and the dry body weight.

[0082] S2. Analyze the personalized factors of the hemodialysis patient during the hemodialysis process, and based on the personalized factors, identify the physical sign fluctuation pattern of the hemodialysis patient during the hemodialysis process, and analyze the patient's psychological factors that affect the physical sign fluctuation pattern.

[0083] The embodiment of the present invention can improve the accuracy of the patient's vital sign monitoring data by analyzing the personalized factors of the hemodialysis patient during the hemodialysis process. The personalized factors refer to the complication factors that affect the patient's hemodialysis, including physiological complication factors and pathological complication factors.

[0084] As an embodiment of the present invention, the analysis of the personalized factors of the hemodialysis patient during the hemodialysis process includes: analyzing the physical health status of the hemodialysis patient; based on the physical health status, analyzing the previous complication records of the hemodialysis patient; based on the previous complication records, analyzing the dialysis adequacy index of the hemodialysis patient; based on the dialysis adequacy index, performing risk analysis on the previous complication records to obtain a risk level; using the risk level as the complication risk index; and using the complication risk index to identify the personalized factors of the hemodialysis patient during the hemodialysis process.

[0085] Among them, the physical health status refers to the patient's physical health status indicators, including heart function indicators and residual renal function indicators; the previous complication record refers to the detailed record of complications that occurred in the patient's past medical treatment; the dialysis adequacy index refers to a series of parameters for analyzing whether the hemodialysis treatment has achieved the expected effect, including urea clearance index (Kt / V) and β2-microglobulin (β2-MG) clearance rate, etc.; the risk level refers to the level after quantification and classification of the possibility of health problems or adverse events that the patient may encounter within a specific time.

[0086] Optionally, the analysis of the physical health status of the hemodialysis patient can be obtained through the previous medical history report and basic physical sign examination of the hemodialysis patient.

[0087] As another embodiment of the present invention, analyzing the dialysis adequacy index of the hemodialysis patient based on the previous complication record includes: calculating the urea clearance index of the hemodialysis patient based on the previous complication record using the following formula:

[0088]

[0089] in, represents the urea clearance index, V represents the urea distribution volume, K ti represents the urea clearance of the i-th dialysis in the previous complication record, and n represents the number of dialysis sessions;

[0090] Based on the previous complication records, the hemodialysis clearance of the hemodialysis patient was calculated using the following formula:

[0091]

[0092] Among them, K t represents the dialysis clearance, represents the urea clearance of the i-th dialysis in the previous complication record, and n represents the number of dialysis sessions;

[0093] The urea clearance index and the dialysis clearance amount are used as the dialysis adequacy indicators.

[0094] The urea clearance index is a statistical parameter based on the urea kinetic system and is used to analyze the adequacy of dialysis. The dialysis clearance refers to the ability of the dialyzer to remove a certain solute per unit time.

[0095] Optionally, based on the dialysis adequacy index, risk analysis is performed on the previous complication records to obtain a risk level, which can be achieved using the DOPPS scoring system.

[0096] Furthermore, the embodiments of the present invention can provide a basis for formulating personalized treatment plans for patients by identifying the physical sign fluctuation pattern of the hemodialysis patient during the hemodialysis process based on the personalized factors. The physical sign fluctuation pattern refers to the law or pattern of changes in the physiological indicators of an individual over a period of time, such as blood pressure, heart rate, and blood oxygen saturation.

[0097] As an embodiment of the present invention, the identifying of the vital sign fluctuation pattern of the hemodialysis patient during the hemodialysis process based on the personalized factors includes: analyzing the components of the personalized factors; analyzing the full-course monitoring data of the components during the hemodialysis process; constructing a trend graph of the full-course monitoring data to obtain the vital sign fluctuation pattern.

[0098] Among them, the constituent elements refer to the components of the personalized factors of the hemodialysis patient, the full monitoring data refer to the observation data of the physical signs of the hemodialysis patient before, during and after dialysis, and the trend chart refers to a chart showing the trend of changes in the patient's physical signs data over time.

[0099] Optionally, the analysis of the components of the personalized factors can be achieved by clinical analysis, the full-course monitoring data of the analysis of the components during the hemodialysis process can be obtained through the patient's examination records, and the construction of a trend graph of the full-course monitoring data to obtain the vital sign fluctuation pattern can be obtained through a line graph.

[0100] Furthermore, the embodiments of the present invention can help patients better adapt to the hemodialysis process by analyzing the patient's psychological factors that affect the physical sign fluctuation pattern. The patient's psychological factors refer to factors that affect the patient's physical and mental health and disease management, which can be obtained through psychological analysis of the patient.

[0101] In one embodiment of the present invention, the analyzing of the patient psychological factors affecting the physical sign fluctuation pattern includes: recording the patient-doctor communication statements in the time series corresponding to the physical sign fluctuation pattern; and extracting the patient psychological characteristics in the patient-doctor communication statements using the following formula:

[0102] z l =ADAPTER((BERT(x i ,y j ))⊕z l-1 )

[0103] z=Tanh(((BERT(x i ,y j ))⊕z l )w+b)

[0104] Among them, z represents the patient's psychological characteristics, z l represents the hidden features extracted by ADAPTER and BERT, z l-1 represents the hidden features extracted from the previous layer, l represents the layer number of ADAPTER, BERT represents a natural language processing model based on deep learning, ADAPTER represents the adapter structure of transformer, and ⊕ represents (BERT(x i,y j )) and z l-1 The splicing operation between 0 represents z composed of 0 l-1 The initial state, x i represents the i-th communication object, which includes patients and doctors, y j Represents x i The jth patient-doctor communication sentence, w represents the weight parameter, and b represents the bias parameter;

[0105] Based on the patient's psychological characteristics, the patient's psychological probability corresponding to the patient-doctor communication statement is calculated using the following formula:

[0106] p=Softmax(w′(z+BERT(y j )))

[0107] Among them, p represents the patient's psychological probability, w′ represents the weight parameter when calculating the patient's psychological probability, and y j Represents x i The jth patient-doctor communication sentence, BERT represents a natural language processing model based on deep learning, z represents the patient's psychological characteristics, and Softmax represents the activation function;

[0108] The patient psychological probability is used to identify the patient psychological category corresponding to the patient-doctor communication statement; and the patient psychological category is used to analyze the patient psychological factors that affect the physical sign fluctuation pattern.

[0109] In another embodiment of the present invention, the analyzing of the patient psychological factors affecting the physical sign fluctuation pattern by using the patient psychological category includes: performing value assignment processing on the patient psychological category to obtain the assigned psychological category; constructing an assigned psychological sequence corresponding to the assigned psychological category in the time series corresponding to the physical sign fluctuation pattern by using the patient psychological probability; and calculating the correlation between the physical sign fluctuation pattern and the assigned psychological sequence by using the following formula:

[0110]

[0111] Among them, ρ X,Y represents the correlation, cov(X,Y) represents the covariance matrix between the physical sign fluctuation pattern and the assigned psychological sequence, σ X represents the variance of the full monitoring data in the physical sign fluctuation mode, σ Y represents the variance of the assigned psychological sequence, μ X represents the mean value of the whole monitoring data in the physical sign fluctuation mode, X represents the whole monitoring data in the physical sign fluctuation mode, μ Yrepresents the mean of the assigned psychological sequence, Y represents the assigned psychological sequence, and E represents expectation;

[0112] When the correlation is greater than a preset correlation, the target assigned psychology corresponding to the correlation in the assigned psychology sequence is used as the patient psychological factor that affects the physical sign fluctuation pattern.

[0113] The assigned psychological sequence refers to a sequence of changes in the patient's psychological probability corresponding to each category of psychological state over time, such as a sequence of changes in the patient's psychological probability corresponding to tension over time.

[0114] Optionally, the patient's psychological category is assigned a value to obtain a psychological category in which the patient's psychological category is represented by a numerical value. For example, if the patient's psychological category includes tension, excitement, fear and excitement, 1, 2, 3 and 4 are used to represent tension, excitement, fear and excitement respectively.

[0115] S3. Based on the patient's psychological factors, a psychological analysis is performed on the hemodialysis patient to obtain a psychological analysis result, a personalized intervention mechanism for the psychological analysis result is constructed, and the degree of change of the physical sign fluctuation pattern caused by the personalized intervention mechanism is analyzed. When the degree of change is greater than the expected effect, a psychological monitoring system for the hemodialysis patient is constructed.

[0116] The embodiment of the present invention can help patients identify psychological barriers during hemodialysis by performing psychological analysis on the hemodialysis patients based on the patients' psychological factors to obtain psychological analysis results. The psychological analysis results refer to conclusions drawn from measurement, analysis and interpretation of the patients' psychological states, psychological characteristics or psychological problems through psychological analysis tools or methods.

[0117] Optionally, based on the patient's psychological factors, a psychological analysis is performed on the hemodialysis patient to obtain a psychological analysis result, which can be obtained through a standardized psychological scale, such as the Hamilton Anxiety Rating Scale (HAMA) and the Beck Depression Inventory (BDI).

[0118] Furthermore, the embodiments of the present invention can enhance the patient's participation and actively cooperate with dialysis work by constructing a personalized intervention mechanism based on the psychological analysis results. The personalized intervention mechanism is a series of psychological support measures designed and implemented according to the specific circumstances and needs of the individual.

[0119] As an embodiment of the present invention, the construction of a personalized intervention mechanism for the psychological analysis results includes: obtaining the inducing factors of the psychological analysis results; based on the inducing factors, stimulating the intrinsic motivation of a preset individual to undergo behavioral changes; and based on the intrinsic motivation, constructing the personalized intervention mechanism.

[0120] The inducing factors refer to the causes that cause patients to have psychological problems, and the intrinsic motivation refers to the driving force that drives an individual to carry out an activity or behavior.

[0121] Optionally, the analysis of the triggering factors of the psychological analysis results can be obtained through interviews with patients, and stimulating the intrinsic motivation of a preset individual to undergo behavioral changes based on the triggering factors can be achieved using cognitive behavioral therapy.

[0122] Furthermore, the embodiments of the present invention can enable patients to better control their physical signs and reduce physical sign fluctuations caused by psychological factors by analyzing the degree of change of the physical sign fluctuation pattern caused by the personalized intervention mechanism. The degree of change refers to the degree to which a certain state changes from one state to another.

[0123] Optionally, the analysis of the degree of change of the physical sign fluctuation pattern by the personalized intervention mechanism can be obtained through a randomized controlled trial.

[0124] Furthermore, the embodiment of the present invention can improve the patient's overall dialysis experience and improve the quality of vital sign data monitoring by constructing a psychological monitoring system for the hemodialysis patient when the degree of change is greater than the expected effect. The psychological monitoring system refers to a monitoring system that analyzes an individual's psychological state, behavioral patterns, and mental health status through a regular and systematic method.

[0125] As an embodiment of the present invention, the construction of the psychological monitoring system for the hemodialysis patient includes: constructing an emotion detection device for the hemodialysis patient; based on the emotion detection device, collecting the emotion category of the hemodialysis patient; based on the emotion category, analyzing the mental health status of the hemodialysis patient; constructing an output mechanism for the mental health status; and constructing the psychological monitoring system under the output mechanism.

[0126] Among them, the emotion detection device refers to a device that identifies and analyzes emotional states by analyzing individual physiological signals, behavioral characteristics or voice patterns; the emotion category refers to the classification of emotions according to different dimensions; the mental health state refers to the patient's mental state under different emotion categories; and the output mechanism refers to the output method of psychological and behavioral results.

[0127] Optionally, the construction of the emotion detection device for the hemodialysis patient can be implemented using an emotion detector, and the collection of the emotion category of the hemodialysis patient based on the emotion detection device can be obtained through the built-in sensor of the emotion detector, and the process of constructing the psychological monitoring system under the output mechanism refers to using professional monitoring instruments to monitor the output results under the output mechanism.

[0128] S4. Configure a vital sign monitoring device for the target ultrafiltration volume, and set an information interconnection interface between the psychological monitoring system and the vital sign monitoring device; based on the information interconnection interface, set an abnormal vital sign alarm for the hemodialysis patient, and analyze the emotional fluctuations of the hemodialysis patient during the hemodialysis process.

[0129] The embodiment of the present invention can reduce the risk of abnormal patient vital signs during hemodialysis by configuring the target ultrafiltration amount vital sign monitoring device, wherein the vital sign monitoring device refers to an instrument for monitoring changes in patient vital sign data, such as a blood oximeter or a sphygmomanometer.

[0130] Optionally, the vital sign monitoring device configured to determine the target ultrafiltration volume may be obtained through a dialysis machine.

[0131] Furthermore, the embodiment of the present invention can monitor the patient's psychological changes during the physical sign data monitoring process in real time and improve the measurement accuracy of the physical sign data by constructing an information interconnection interface between the psychological monitoring system and the physical sign monitoring device. The information interconnection interface refers to a display platform that can simultaneously display the patient's physical sign monitoring data and psychological state.

[0132] As an embodiment of the present invention, the setting of the information interconnection interface between the psychological monitoring system and the vital sign monitoring device includes: collecting monitoring data of the psychological monitoring system and the vital sign monitoring device; standardizing the monitoring data to obtain standardized data; constructing a data integration system for the standardized data; based on the data integration system, analyzing the related data between the psychological monitoring system and the vital sign monitoring device in real time; constructing a visualization interface for the related data; and using the visualization interface as the information interconnection interface.

[0133] Among them, the monitoring data refers to the output data of monitoring the psychological monitoring system and the physical sign monitoring equipment, the standardized data refers to the data of different equipment converted into data in a standard format, the data integration system refers to a data integration platform that can integrate the data of the psychological monitoring system and the physical sign monitoring equipment, the associated data refers to the associated data between the data information of the psychological monitoring system and the physical sign monitoring equipment, and the visualization interface refers to a screen display interface that interacts with the user through graphic elements such as windows, icons, menus, buttons, etc.

[0134] Optionally, the monitoring data collected from the psychological monitoring system and the vital sign monitoring device can be obtained through the monitoring device, the standardization processing of the monitoring data to obtain standardized data can be achieved by using RobustScaler, the data integration system for constructing the standardized data can be obtained through API integration, and the real-time analysis of the correlation data between the psychological monitoring system and the vital sign monitoring device based on the data integration system can be achieved through a machine learning algorithm.

[0135] Furthermore, the embodiment of the present invention can timely discover and handle abnormal conditions of the patient by setting an abnormal vital sign alarm for the hemodialysis patient based on the information interconnection interface. The abnormal vital sign alarm refers to an alarm set for monitoring abnormal physiological parameters of the patient.

[0136] As an embodiment of the present invention, the abnormal vital sign alarm of the hemodialysis patient is set based on the information interconnection interface, including: setting a preset threshold of the hemodialysis patient based on the information interconnection interface; setting an alarm triggering method of the preset threshold; and determining the abnormal vital sign alarm of the hemodialysis patient based on the preset threshold and the alarm triggering method.

[0137] Among them, the preset threshold refers to the normal threshold of each patient's vital sign parameters pre-set on the dialysis machine, and the alarm triggering method refers to the mechanism by which the alarm system is activated and sends out a warning signal.

[0138] Optionally, the preset threshold for the hemodialysis patient is set based on the information interconnection interface and can be obtained by analyzing the patient's physical condition.

[0139] In one embodiment of the present invention, the alarm triggering method for setting the preset threshold includes: analyzing the abnormal vital sign level of the hemodialysis patient; configuring the notification method corresponding to the abnormal vital sign level; defining the emergency vital sign attributes of the hemodialysis patient based on the abnormal vital sign level; setting the emergency vital sign threshold of the emergency vital sign attribute; based on the emergency vital sign threshold, setting the emergency list of the notification method; based on the emergency list, setting the alarm triggering method of the preset threshold.

[0140] Among them, the abnormal vital sign level refers to the level divided according to the degree of abnormality of the vital sign, the notification method refers to the means and method used to convey information, messages or alarms, the emergency list refers to a list of abnormal vital sign treatments that require rapid intervention in certain emergency situations, the emergency vital sign attribute refers to the category of vital signs that may directly threaten the patient's life safety during hemodialysis and require immediate action, and the emergency vital sign threshold refers to the warning threshold that defines the vital sign is in serious danger.

[0141] Optionally, the analyzing of the abnormal level of physical signs of the hemodialysis patient may be implemented by using a symptom analysis scale, and the configuring of a notification method corresponding to the abnormal level of physical signs may be obtained through a sound alarm.

[0142] Optionally, the emergency sign attributes of the hemodialysis patient are defined based on the abnormal sign level, which can be obtained through the patient's physical response during the monitoring process, and the emergency sign thresholds of the emergency sign attributes are set by utilizing the danger value system of the medical system.

[0143] Furthermore, the embodiments of the present invention can prevent the patient from developing psychological illnesses, thereby affecting the dialysis effect, by analyzing the emotional fluctuations of the hemodialysis patient during the hemodialysis process. The emotional fluctuations refer to the changes experienced by the patient in terms of psychological state, emotional response, cognitive patterns and behavioral performance.

[0144] Optionally, the analysis of the emotional fluctuations of the hemodialysis patient during the hemodialysis process can be obtained through the patient's behavioral performance during the hemodialysis process.

[0145] S5. Based on the emotional fluctuations, the acceptable dynamic interval of the abnormal vital sign alarm is adjusted in real time to obtain an adjusted interval, and the adjusted interval is used as the vital sign data monitoring result of the hemodialysis patient.

[0146] The embodiment of the present invention can balance the sensitivity of the abnormal vital sign alarm and reduce unnecessary alarms by adjusting the acceptable dynamic range of the abnormal vital sign alarm in real time based on the emotional fluctuations. The acceptable dynamic range refers to the range of physiological parameter fluctuations allowed by the system during continuous monitoring of the patient's vital signs.

[0147] As an embodiment of the present invention, the method of adjusting the acceptable dynamic interval of the abnormal vital sign alarm in real time based on the emotional fluctuation to obtain the adjustment interval includes: calculating the emotional mean of the emotional fluctuation; calculating the emotional difference between the emotional fluctuation and the emotional mean; when the emotional difference is the maximum difference, collecting the first target fluctuation corresponding to the maximum difference from the emotional fluctuation; querying the first collection time when collecting the first target fluctuation corresponding to the emotional difference; when the emotional difference is the minimum difference, collecting the second target fluctuation corresponding to the minimum difference from the emotional fluctuation; querying the second collection time when collecting the second target fluctuation corresponding to the emotional difference; calculating the physical sign difference between the physiological parameters at the first collection time and the physiological parameters at the second collection time; normalizing the physical sign difference to obtain the normalized physical sign difference; based on the normalized physical sign difference, using the following formula to calculate the acceptable dynamic interval for adjusting the abnormal vital sign alarm to obtain the adjustment interval:

[0148] a′=a+Δe

[0149] b′=b-Δe

[0150] Where [a′, b′] represents the adjustment interval, [a, b] represents the acceptable dynamic interval, and Δe represents the normalized sign difference.

[0151] The physiological parameters can be obtained using the patient's examination report, and the physical sign difference refers to the difference in the physiological parameters between sampling moments.

[0152] It can be seen that the embodiment of the present invention can help doctors develop personalized treatment plans by obtaining the medical history report of the hemodialysis patient. Furthermore, the embodiment of the present invention can identify the patient's abnormal conditions and reduce the risk of complications by performing a baseline analysis on the hemodialysis patient based on the medical history report to obtain a baseline analysis result. Furthermore, the embodiment of the present invention can improve the safety of the dialysis process and reduce dialysis complications by analyzing the dry weight of the hemodialysis patient based on the baseline analysis result. Furthermore, the embodiment of the present invention can ensure that the patient's hemodialysis process can be carried out effectively and reduce the risk of physical discomfort to the patient by calculating the target ultrafiltration volume of the dry weight. The embodiment of the present invention can improve the accuracy of the patient's vital sign monitoring data by analyzing the personalized factors of the hemodialysis patient during the hemodialysis process. Furthermore, the embodiment of the present invention can provide a basis for formulating a personalized treatment plan for the patient by identifying the vital sign fluctuation pattern of the hemodialysis patient during the hemodialysis process based on the personalized factors. Furthermore, the embodiment of the present invention can help the patient better adapt to the hemodialysis process by analyzing the patient's psychological factors that affect the vital sign fluctuation pattern. The embodiment of the present invention can help the patient identify psychological barriers during the hemodialysis process by performing a psychological analysis on the hemodialysis patient based on the patient's psychological factors. The embodiment can enhance the patient's participation and actively cooperate with the dialysis work by constructing a personalized intervention mechanism based on the psychological analysis results. Furthermore, the embodiment of the present invention can allow patients to better control their physical signs and reduce physical sign fluctuations caused by psychological factors by analyzing the degree of change of the physical sign fluctuation pattern caused by the personalized intervention mechanism. Furthermore, the embodiment of the present invention can improve the patient's overall dialysis experience and improve the quality of physical sign data monitoring by constructing a psychological monitoring system for the hemodialysis patient when the degree of change is greater than the expected effect. The embodiment of the present invention can reduce the risk of abnormal physical signs in patients during hemodialysis by configuring the physical sign monitoring equipment of the target ultrafiltration amount. Furthermore, the embodiment of the present invention can By constructing an information interconnection interface between the psychological monitoring system and the vital sign monitoring device, the psychological changes of the patient during the vital sign data monitoring process can be monitored in real time, thereby improving the measurement accuracy of the vital sign data. Furthermore, the embodiment of the present invention sets an abnormal vital sign alarm for the hemodialysis patient based on the information interconnection interface, thereby timely discovering and handling the patient's abnormal conditions. Furthermore, the embodiment of the present invention analyzes the emotional fluctuations of the hemodialysis patient during the hemodialysis process to prevent the patient from developing a psychological illness, thereby affecting the dialysis effect. The embodiment of the present invention adjusts the acceptable dynamic range of the abnormal vital sign alarm in real time based on the emotional fluctuations, thereby balancing the sensitivity of the abnormal vital sign alarm and reducing unnecessary alarms.Therefore, the embodiment of the present invention provides a method and system for monitoring the vital signs data of a patient under hemodialysis, which can monitor the vital signs data of the patient under psychological state.

[0153] like Figure 2 FIG. 1 is a functional module diagram of a patient vital sign data monitoring system for hemodialysis according to the present invention.

[0154] The patient vital sign data monitoring system 200 for hemodialysis of the present invention can be installed in an electronic device. According to the functions to be implemented, the patient vital sign data monitoring system for hemodialysis can include an ultrafiltration volume calculation module 201, a factor analysis module 202, a system construction module 203, a sentiment analysis module 204 and an interval adjustment module 205. The module of the present invention can also be referred to as a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0155] In the embodiment of the present invention, the functions of each module / unit are as follows:

[0156] The ultrafiltration volume calculation module 201 is used to obtain a medical history report of a hemodialysis patient, perform a baseline analysis on the hemodialysis patient based on the medical history report, obtain a baseline analysis result, analyze the dry weight of the hemodialysis patient based on the baseline analysis result, and calculate a target ultrafiltration volume of the dry weight;

[0157] The factor analysis module 202 is used to analyze the personalized factors of the hemodialysis patient during the hemodialysis process, and based on the personalized factors, identify the physical sign fluctuation pattern of the hemodialysis patient during the hemodialysis process, and analyze the patient's psychological factors that affect the physical sign fluctuation pattern;

[0158] The system construction module 203 is used to perform a psychological analysis on the hemodialysis patient based on the patient's psychological factors, obtain a psychological analysis result, construct a personalized intervention mechanism for the psychological analysis result, and analyze the degree of change of the physical sign fluctuation pattern by the personalized intervention mechanism. When the degree of change is greater than the expected effect, a psychological monitoring system for the hemodialysis patient is constructed;

[0159] The emotion analysis module 204 is used to configure the target ultrafiltration volume vital sign monitoring device, and set the information interconnection interface between the psychological monitoring system and the vital sign monitoring device, and based on the information interconnection interface, set the vital sign abnormality alarm of the hemodialysis patient, and analyze the emotional fluctuations of the hemodialysis patient during the hemodialysis process;

[0160] The interval adjustment module 205 is used to adjust the acceptable dynamic interval of the abnormal vital sign alarm in real time based on the emotional fluctuation, obtain an adjusted interval, and use the adjusted interval as the vital sign data monitoring result of the hemodialysis patient.

[0161] In detail, each module in the patient vital sign data monitoring system 200 for hemodialysis according to the embodiment of the present invention is used in the same manner as described above. Figure 1 The same technical means as described in the method for monitoring patient vital signs data under hemodialysis are used and can produce the same technical effects, so they will not be repeated here.

[0162] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0163] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0164] Therefore, no matter from which point of view, the embodiments should be regarded as illustrative and non-restrictive, and the scope of the present invention is limited by the appended claims rather than the above description, so it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any attached figure mark in the claims should not be regarded as limiting the claims involved.

[0165] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0166] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A method for monitoring vital sign data of a patient under hemodialysis, characterized in that: The method comprises: Obtaining a medical history report of a hemodialysis patient, performing a baseline analysis on the hemodialysis patient based on the medical history report to obtain a baseline analysis result, analyzing the dry weight of the hemodialysis patient based on the baseline analysis result, and calculating a target ultrafiltration volume of the dry weight; Analyze the personalized factors of the hemodialysis patient during the hemodialysis process, wherein the personalized factors refer to a series of factors for customizing the dialysis treatment plan according to the patient's specific health status, previous complication records and other relevant medical information, and identify the physical sign fluctuation pattern of the hemodialysis patient during the hemodialysis process based on the personalized factors, and analyze the patient's psychological factors affecting the physical sign fluctuation pattern, wherein the analysis of the patient's psychological factors affecting the physical sign fluctuation pattern includes: Recording patient-doctor communication statements in a time series corresponding to the physical sign fluctuation pattern; Extracting patient psychological characteristics from the patient-doctor communication statements; Based on the patient's psychological characteristics, calculating the patient's psychological probability corresponding to the patient-doctor communication statement; using the patient psychological probability to identify the patient psychological category corresponding to the patient-doctor communication statement; Performing value assignment processing on the patient's psychological category to obtain a valued psychological category; Using the patient's psychological probability, construct a valued psychological sequence corresponding to the valued psychological category in the time series corresponding to the physical sign fluctuation pattern; The correlation between the physical sign fluctuation pattern and the assigned psychological sequence is calculated using the following formula; When the correlation is greater than a preset correlation, the target assigned psychology corresponding to the correlation in the assigned psychology sequence is used as the patient psychological factor affecting the physical sign fluctuation pattern; Based on the patient's psychological factors, a psychological analysis is performed on the hemodialysis patient to obtain a psychological analysis result, a personalized intervention mechanism for the psychological analysis result is constructed, and the degree of change of the physical sign fluctuation pattern by the personalized intervention mechanism is analyzed. When the degree of change is greater than the expected effect, a psychological monitoring system for the hemodialysis patient is constructed; Configuring a vital sign monitoring device for the target ultrafiltration volume, and setting an information interconnection interface between the psychological monitoring system and the vital sign monitoring device, and setting an abnormal vital sign alarm for the hemodialysis patient based on the information interconnection interface, and analyzing the emotional fluctuations of the hemodialysis patient during the hemodialysis process; Based on the emotional fluctuations, the acceptable dynamic interval of the abnormal vital sign alarm is adjusted in real time to obtain an adjusted interval, and the adjusted interval is used as the vital sign data monitoring result of the hemodialysis patient.

2. The method according to claim 1, characterized in that: Based on the previous medical history report, a baseline analysis is performed on the hemodialysis patient to obtain a baseline analysis result, including: Based on the previous medical history report, basic physical sign measurements are performed on the hemodialysis patient to obtain basic physical sign measurement results; Based on the previous medical history report, measuring the biochemical indexes of the hemodialysis patient to obtain the biochemical index measurement results; Analyzing the pre-dialysis physical condition of the hemodialysis patient based on the basic physical sign measurement results and the biochemical index measurement results; The pre-dialysis physical condition was taken as the baseline analysis result.

3. The method according to claim 1, characterized in that The analyzing of personalized factors of the hemodialysis patient during the hemodialysis process includes: Analyzing the physical health status of the hemodialysis patient; Based on the physical health condition, analyzing the previous complication records of the hemodialysis patient; Analyzing the dialysis adequacy index of the hemodialysis patient based on the previous complication records; Based on the dialysis adequacy index, risk analysis is performed on the previous complication records to obtain a risk level; Determining a complication risk index for the hemodialysis patient according to the risk level; The complication risk index is used to identify personalized factors of the hemodialysis patient during the hemodialysis process.

4. The method according to claim 3, characterized in that The dialysis adequacy index of the hemodialysis patient is analyzed based on the previous complication record, including: Calculating the urea clearance index of the hemodialysis patient based on the previous complication records; Calculating the dialysis clearance of the hemodialysis patient based on the previous complication records; The urea clearance index and the dialysis clearance amount are used as the dialysis adequacy indicators.

5. The method according to claim 1, characterized in that The information interconnection interface between the psychological monitoring system and the vital sign monitoring device is provided, including: Collecting monitoring data of the psychological monitoring system and the physical sign monitoring device; Performing standardization processing on the monitoring data to obtain standardized data; Constructing a data integration system for the standardized data; Based on the data integration system, analyzing the correlation data between the psychological monitoring system and the vital sign monitoring device in real time; Constructing a visualization interface for the associated data; The visualization interface is used as the information interconnection interface.

6. The method according to claim 1, characterized in that The step of setting an abnormal vital sign alarm for the hemodialysis patient based on the information interconnection interface includes: Based on the information interconnection interface, setting a preset threshold value for the hemodialysis patient; Setting the alarm triggering mode of the preset threshold; Based on the preset threshold and the alarm triggering mode, an abnormal vital sign alarm of the hemodialysis patient is determined.

7. The method according to claim 1, characterized in that The method of adjusting the acceptable dynamic interval of the abnormal vital sign alarm in real time based on the emotional fluctuation to obtain the adjustment interval includes: Calculating the emotional mean of the emotional fluctuations; Calculating the emotional difference between the emotional fluctuation and the emotional mean; When the emotion difference is the maximum difference, collecting a first target fluctuation corresponding to the maximum difference from the emotion fluctuation; Querying a first collection time when collecting a first target fluctuation corresponding to the emotion difference; When the emotion difference is a minimum difference, collecting a second target fluctuation corresponding to the minimum difference from the emotion fluctuation; Querying a second collection time when collecting a second target fluctuation corresponding to the emotion difference; Calculating the physical sign difference between the physiological parameter at the first acquisition moment and the physiological parameter at the second acquisition moment; Normalizing the physical sign difference to obtain a normalized physical sign difference; Based on the normalized vital sign difference, the acceptable dynamic interval for adjusting the vital sign abnormality alarm is calculated using the following formula to obtain an adjustment interval.

8. A patient vital sign data monitoring system for hemodialysis, characterized in that: The system comprises: An ultrafiltration volume calculation module is used to obtain a medical history report of a hemodialysis patient, perform a baseline analysis on the hemodialysis patient based on the medical history report, obtain a baseline analysis result, analyze the dry weight of the hemodialysis patient based on the baseline analysis result, and calculate a target ultrafiltration volume of the dry weight; The factor analysis module is used to analyze the personalized factors of the hemodialysis patient during the hemodialysis process, wherein the personalized factors refer to a series of factors for customizing the dialysis treatment plan according to the patient's specific health status, previous complication records and other relevant medical information, and based on the personalized factors, identify the physical sign fluctuation pattern of the hemodialysis patient during the hemodialysis process, and analyze the patient's psychological factors affecting the physical sign fluctuation pattern, wherein the analysis of the patient's psychological factors affecting the physical sign fluctuation pattern includes: Recording patient-doctor communication statements in a time series corresponding to the physical sign fluctuation pattern; Extracting patient psychological characteristics from the patient-doctor communication statements; Based on the patient's psychological characteristics, calculating the patient's psychological probability corresponding to the patient-doctor communication statement; using the patient psychological probability to identify the patient psychological category corresponding to the patient-doctor communication statement; Performing value assignment processing on the patient's psychological category to obtain a valued psychological category; Using the patient's psychological probability, construct a valued psychological sequence corresponding to the valued psychological category in the time series corresponding to the physical sign fluctuation pattern; The correlation between the physical sign fluctuation pattern and the assigned psychological sequence is calculated using the following formula; When the correlation is greater than a preset correlation, the target assigned psychology corresponding to the correlation in the assigned psychology sequence is used as the patient psychological factor affecting the physical sign fluctuation pattern; A system construction module, for performing a psychological analysis on the hemodialysis patient based on the patient's psychological factors, obtaining a psychological analysis result, constructing a personalized intervention mechanism for the psychological analysis result, and analyzing the degree of change of the physical sign fluctuation pattern by the personalized intervention mechanism. When the degree of change is greater than the expected effect, constructing a psychological monitoring system for the hemodialysis patient; An emotion analysis module, used to configure the target ultrafiltration volume vital sign monitoring device, and set an information interconnection interface between the psychological monitoring system and the vital sign monitoring device, and based on the information interconnection interface, set an abnormal vital sign alarm for the hemodialysis patient, and analyze the emotional fluctuations of the hemodialysis patient during the hemodialysis process; The interval adjustment module is used to adjust the acceptable dynamic interval of the abnormal vital sign alarm in real time based on the emotional fluctuation, obtain the adjusted interval, and use the adjusted interval as the vital sign data monitoring result of the hemodialysis patient.

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