Neurology patient psychological nursing analysis system and method based on intelligent chip

Abstract

The invention relates to the technical field of patient psychological nursing, in particular to a neurology patient psychological nursing analysis system and method based on an intelligent chip, and the method comprises the steps: analyzing the difference degree of the physiological characteristics of an anxiety patient before and after an operation based on preoperative physiological characteristic data and postoperative physiological characteristic data; based on the symptom reaction data and the operation data of the anxiety patient, analyzing the operation complexity of the anxiety patient; according to the physiological feature difference degree analysis result before and after the operation and the operation complexity degree analysis result, the psychological stress risk of the anxiety disorder patient is evaluated; according to the psychological stress risk assessment result, patient psychological nursing early warning is given to medical staff, by accurately quantifying the psychological stress risk, the high-risk patient can be recognized in the early stage, postoperative acute anxiety, delirium and other complications are avoided, and the operation safety and rehabilitation quality are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of patient psychological care, and in particular to a system and method for analyzing psychological care for neurological patients based on an intelligent chip. Background Art

[0002] Anxiety disorder is a highly prevalent mental disorder worldwide, and its prevalence is particularly prominent among surgical patients, which is specifically manifested in preoperative anxiety in surgical patients. Among them, neurological patients are more likely to experience preoperative anxiety due to the characteristics of their disease and the complexity of their treatment. Surgery, as a strong physiological and psychological stressor, can easily trigger a series of reactions in patients, such as sympathetic hyperactivity and the release of inflammatory factors. These physiological changes not only aggravate the original anxiety symptoms of anxiety patients, but are also likely to induce complications such as postoperative acute stress disorder and delirium. Traditional postoperative psychological care for anxiety patients often relies on scale assessments and empirical interventions by medical staff. Although these methods can identify explicit anxiety in anxiety patients after surgery, it is difficult to capture their latent physiological stress responses.

[0003] However, traditional postoperative psychological care for patients with anxiety disorders often relies on scale assessments and empirical intervention by medical staff. Although these methods can identify the explicit anxiety of patients with anxiety disorders after surgery, they are unable to capture their latent physiological stress responses; they ignore the complex physiological changes of patients with anxiety disorders during the perioperative period, especially the dynamic fluctuations of key indicators such as autonomic dysfunction, endocrine system activation, and immune response; at the same time, existing technologies do not take into account that in neurological surgery, surgical operations may directly disturb the emotion regulation neural network, further amplifying the psychological stress risk of patients with anxiety disorders.

[0004] In order to solve these problems, this application designs a psychological care analysis system and method for neurology patients based on smart chips. Summary of the Invention

[0005] The purpose of the present invention is to provide a psychological care analysis system and method for neurology patients based on smart chips. By analyzing the degree of difference in physiological characteristics and the complexity of surgery of anxiety patients before and after surgery, the psychological stress risk of anxiety patients can be assessed, thereby identifying high-risk patients at an early stage, avoiding the occurrence of complications such as acute anxiety and delirium after surgery, and significantly improving surgical safety and recovery quality.

[0006] The present invention is achieved in that:

[0007] In a first aspect, the present invention provides a method for analyzing psychological care for neurology patients based on a smart chip, comprising the following steps:

[0008] S1. Obtain preoperative and postoperative physiological characteristic data of patients with anxiety disorders, as well as symptom response data and surgical data of patients with anxiety disorders;

[0009] S2. Based on the preoperative and postoperative physiological characteristic data, analyze the degree of difference in physiological characteristics of patients with anxiety disorders before and after surgery;

[0010] S3. Analyze the complexity of surgery for patients with anxiety disorders based on their symptom response data and surgical data.

[0011] S4. Assess the psychological stress risk of patients with anxiety disorders based on the analysis of the degree of difference in physiological characteristics before and after surgery and the analysis of the complexity of surgery;

[0012] S5. Provide patient psychological care warnings to medical staff based on the results of psychological stress risk assessment.

[0013] Preferably, based on the above solution, step S2 analyzes the degree of difference in physiological characteristics of anxiety patients before and after surgery based on the preoperative physiological characteristic data and the postoperative physiological characteristic data, specifically including:

[0014] S21. Extracting preoperative and postoperative physiological characteristic data of patients with anxiety disorders;

[0015] S22. Based on the preoperative physiological characteristic data and the postoperative physiological characteristic data, the degree of difference in the physiological characteristics of the anxiety disorder patients before and after the operation is analyzed to obtain the analysis results of the degree of difference in the physiological characteristics before and after the operation.

[0016] Preferably, based on the above solution, step S22 analyzes the degree of difference in physiological characteristics of anxiety patients before and after surgery, specifically including:

[0017] S221. Analyze the degree of physiological differences of the autonomic nervous system based on the preoperative physiological characteristic data and the postoperative physiological characteristic data to obtain an analysis result of the degree of physiological differences of the autonomic nervous system;

[0018] S222. Analyze the degree of physiological differences of the endocrine system based on the preoperative physiological characteristic data and the postoperative physiological characteristic data to obtain an analysis result of the degree of physiological differences of the endocrine system;

[0019] S223. Analyze the degree of physiological differences of the immune system based on the preoperative physiological characteristic data and the postoperative physiological characteristic data to obtain an analysis result of the degree of physiological differences of the immune system;

[0020] S223. Perform weighted summation on the analysis results of the degree of physiological differences of the autonomic nervous system, the endocrine system, and the immune system to obtain the analysis results of the degree of difference in physiological characteristics of anxiety patients before and after surgery.

[0021] Preferably, based on the above solution, step S3 analyzes the complexity of the surgery of the anxiety patient based on the symptom response data and surgery data of the anxiety patient, which specifically includes the following steps:

[0022] S31. Extracting symptom response data and surgical data of anxiety patients; wherein the symptom response data includes: a heat distribution map of anxiety somatization symptoms generated by preoperative electromyography of anxiety patients; and the surgical data includes: a three-dimensional spatial mask matrix of anxiety patients obtained by preoperative image segmentation and intraoperative physiological characteristic data;

[0023] S32. Based on the symptom response data and surgical data of the anxiety disorder patients, the surgical complexity of the anxiety disorder patients is analyzed to obtain the analysis results of the surgical complexity of the anxiety disorder patients.

[0024] Preferably, based on the above solution, step S32 is to analyze the complexity of the surgery for the anxiety patient, including the following specific steps:

[0025] S321. Analyze the symptom-surgery correlation strength based on the anxiety somatization symptom heat distribution map, the three-dimensional spatial mask matrix of anxiety patients, and the intraoperative physiological characteristic data to obtain the symptom-surgery correlation strength analysis results for anxiety patients;

[0026] S322. Analyze the degree of intraoperative physiological compensation based on the intraoperative physiological characteristic data to obtain an analysis result of the degree of intraoperative physiological compensation in patients with anxiety disorder;

[0027] S323. Perform weighted summation on the symptom-surgery association strength analysis results and the intraoperative physiological compensation degree analysis results to obtain the surgical complexity analysis results for anxiety disorder patients.

[0028] Preferably, based on the above scheme, step S4 is to assess the psychological stress risk of the anxiety patient based on the analysis results of the difference in physiological characteristics before and after surgery and the analysis results of the complexity of surgery, including the following specific steps:

[0029] S41. Obtaining the analyzed results of the difference in physiological characteristics before and after the operation and the analysis results of the complexity of the operation;

[0030] S42. Assess the psychological stress risk of patients with anxiety disorders based on the analysis results of the degree of difference in physiological characteristics before and after surgery and the analysis results of the complexity of surgery.

[0031] Preferably, based on the above solution, in step S5, a patient psychological care warning is provided to medical staff based on the psychological stress risk assessment result, specifically including:

[0032] S51. Obtain the psychological stress risk assessment results of the anxiety disorder patient;

[0033] S52. A psychological stress risk threshold is preset. When the psychological stress risk assessment result of an anxiety patient is greater than the psychological stress risk threshold, a psychological care warning for the patient is issued to medical staff.

[0034] In a second aspect, the present invention provides a psychological care analysis system for neurology patients based on a smart chip, comprising:

[0035] A data acquisition module is used to obtain preoperative physiological characteristic data and postoperative physiological characteristic data of patients with anxiety disorders, and simultaneously obtain symptom response data and surgical data of patients with anxiety disorders;

[0036] A physiological characteristic difference degree analysis module is used to analyze the degree of difference in physiological characteristics of anxiety patients before and after surgery based on preoperative physiological characteristic data and postoperative physiological characteristic data;

[0037] A surgical complexity analysis module is used to analyze the surgical complexity of patients with anxiety disorders based on their symptom response data and surgical data;

[0038] The psychological stress risk assessment module is used to assess the psychological stress risk of patients with anxiety disorders based on the analysis results of the degree of difference in physiological characteristics before and after surgery and the analysis results of the complexity of surgery;

[0039] Patient psychological care early warning module, used to provide medical staff with patient psychological care early warning based on the results of psychological stress risk assessment;

[0040] The control module is used to control the operation of the data acquisition module, the physiological characteristics difference analysis module, the operation complexity analysis module, the psychological stress risk assessment module, and the patient psychological care early warning module.

[0041] In a third aspect, the present invention provides an electronic device comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes a smart chip-based psychological care analysis method for neurological patients by calling the computer program stored in the memory.

[0042] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0043] The present invention analyzes the degree of difference in physiological characteristics before and after surgery in patients with anxiety disorders based on preoperative physiological characteristic data and postoperative physiological characteristic data; analyzes the complexity of surgery in patients with anxiety disorders based on symptom response data and surgical data; evaluates the psychological stress risk of patients with anxiety disorders based on the analysis results of the degree of difference in physiological characteristics before and after surgery and the analysis results of the complexity of surgery; and provides medical staff with patient psychological care warnings based on the psychological stress risk assessment results. By accurately quantifying the psychological stress risk, high-risk patients can be identified early, and the occurrence of complications such as acute anxiety and delirium after surgery can be avoided, significantly improving surgical safety and recovery quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Other features, objects and advantages of the present invention will become more apparent upon reading the detailed description of non-limiting embodiments made with reference to the following drawings:

[0045] Figure 1 This is a schematic diagram of the overall process of the psychological care analysis method for neurology patients based on a smart chip of the present invention;

[0046] Figure 2 This is a schematic diagram of the structure of the intelligent chip-based psychological care analysis system for neurology patients of the present invention;

[0047] Figure 3 This is a flowchart of the analysis steps of the method for analyzing psychological care for neurological patients based on a smart chip of the present invention. DETAILED DESCRIPTION

[0048] The technical solution of the present invention is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations on the technical solution of the present invention. In the absence of conflict, the embodiments of the present invention and the technical features in the embodiments can be combined with each other.

[0049] Example 1

[0050] The psychological care analysis method for neurological patients based on smart chips provided in this embodiment can be targeted at patients with anxiety disorders who need to undergo surgical treatment in neurology, especially individuals who need to systematically monitor their physiological and psychological states before and after surgery. Such patients with anxiety disorders usually suffer from significant autonomic nervous system disorders, endocrine disorders or abnormal immune activation due to anxiety. Therefore, this embodiment quantifies the impact of surgical stress on the somatization of anxiety in patients with anxiety disorders through the fusion analysis of multi-dimensional physiological indicator data and surgery-related data. For example, for anxiety patients undergoing laparoscopic surgery, wearable devices are used to continuously monitor HRV and muscle tension before surgery to generate symptom heat maps, and inflammatory factor levels are recorded in real time during surgery. Combined with the surgical area mask reconstructed by three-dimensional images, the anatomical overlap and physiological compensation level are calculated, and finally the psychological stress risk of patients with anxiety disorders is dynamically analyzed through an exponential model, thereby providing protection for the patient's psychological care process.

[0051] like Figure 1 、 Figure 3 As shown, this embodiment provides a method for analyzing psychological care for neurological patients based on a smart chip, which specifically includes the following steps:

[0052] S1. Obtain preoperative and postoperative physiological characteristic data of patients with anxiety disorders, as well as symptom response data and surgical data of patients with anxiety disorders;

[0053] S2. Based on the preoperative and postoperative physiological characteristic data, analyze the degree of difference in physiological characteristics of patients with anxiety disorders before and after surgery;

[0054] S3. Analyze the complexity of surgery for patients with anxiety disorders based on their symptom response data and surgical data.

[0055] S4. Assess the psychological stress risk of patients with anxiety disorders based on the analysis of the degree of difference in physiological characteristics before and after surgery and the analysis of the complexity of surgery;

[0056] S5. Provide patient psychological care warnings to medical staff based on the results of psychological stress risk assessment.

[0057] As a preferred technical solution of the present invention, step S2 analyzes the degree of difference in physiological characteristics of anxiety patients before and after surgery based on the preoperative physiological characteristic data and the postoperative physiological characteristic data, specifically including:

[0058] S21. Extracting preoperative and postoperative physiological characteristic data of patients with anxiety disorders;

[0059] S22. Based on the preoperative physiological characteristic data and the postoperative physiological characteristic data, the degree of difference in the physiological characteristics of the anxiety disorder patients before and after the operation is analyzed to obtain the analysis results of the degree of difference in the physiological characteristics before and after the operation.

[0060] As a preferred technical solution of the present invention, step S22 analyzes the degree of difference in physiological characteristics of anxiety patients before and after surgery, specifically including:

[0061] S221. Based on the preoperative and postoperative physiological characteristic data, analyze the degree of physiological differences in the autonomic nervous system to obtain the results of the analysis of the degree of physiological differences in the autonomic nervous system. The autonomic nervous system of patients with anxiety disorders usually exhibits physiological manifestations of sympathetic hyperactivity and vagal inhibition. Therefore, this step quantifies the changes in vagal nerve function in patients with anxiety disorders by analyzing the patient's heart rate variability. At the same time, the degree of sympathetic nerve activation in patients with anxiety disorders is quantified by measuring the skin conductance levels before and after surgery, thereby comprehensively analyzing the degree of physiological differences in the autonomic nervous system in patients with anxiety disorders. The formula for calculating the degree of physiological differences in the autonomic nervous system is: Wherein, Dans is the degree of physiological difference of the autonomic nervous system in patients with anxiety disorder, Ha is the average postoperative heart rate variability of patients with anxiety disorder in the postoperative physiological characteristic data, Sa is the average postoperative skin conductance level of patients with anxiety disorder in the postoperative physiological characteristic data, Hb is the average preoperative heart rate variability of patients with anxiety disorder in the preoperative physiological characteristic data, and Sb is the average preoperative skin conductance level of patients with anxiety disorder in the preoperative physiological characteristic data;

[0062] S222. Based on the preoperative physiological characteristic data and the postoperative physiological characteristic data, the degree of physiological difference of the endocrine system is analyzed to obtain the results of the analysis of the degree of physiological difference of the endocrine system. The HPA axis is the core endocrine system for the human body to cope with stress. Its normal operation depends on the dynamic balance of secreted hormones, but patients with anxiety disorders often have HPA axis dysfunction, which is specifically manifested as abnormal cortisol secretion. Therefore, this step obtains the cortisol circadian rhythm curves of patients with anxiety disorders before and after surgery, and obtains the area under the cortisol circadian rhythm curves of patients with anxiety disorders before and after surgery by the trapezoidal method. According to the difference in the area under the cortisol circadian rhythm curves before and after surgery, the difference in the overall activation level of the HPA axis of patients with anxiety disorders is quantified, thereby obtaining the results of the analysis of the degree of physiological difference of the endocrine system. The calculation formula for the degree of physiological difference of the endocrine system is: Wherein, Dhpa is the degree of physiological difference of the endocrine system in patients with anxiety disorder, Ca is the area under the curve of the postoperative cortisol circadian rhythm in patients with anxiety disorder in the postoperative physiological characteristic data, and Cb is the area under the curve of the preoperative cortisol circadian rhythm in patients with anxiety disorder in the preoperative physiological characteristic data;

[0063] S223. Based on the preoperative physiological characteristic data and the postoperative physiological characteristic data, the degree of physiological difference of the immune system is analyzed to obtain the analysis results of the degree of physiological difference of the immune system. Anxiety disorder is significantly associated with chronic low-grade inflammation. In this embodiment, the level of inflammatory factors in the immune system is detected, and the exponentially increasing inflammatory factors are logarithmically transformed to linearize the difference in the level of inflammatory factors before and after surgery in anxiety patients. Therefore, this step can more accurately assess the pathological state of anxiety disorder by analyzing the difference in the level of inflammatory factors in the immune system of anxiety patients before and after surgery. The calculation formula for the degree of physiological difference of the immune system is: Among them, Dim is the degree of physiological difference of the immune system of patients with anxiety disorders, ILa is the postoperative leukocyte mediator-6 level of patients with anxiety disorders in the postoperative physiological characteristic data, Cra is the postoperative C-reactive protein level of patients with anxiety disorders in the postoperative physiological characteristic data, ILb is the preoperative leukocyte mediator-6 level of patients with anxiety disorders in the preoperative physiological characteristic data, and Crb is the preoperative C-reactive protein level of patients with anxiety disorders in the preoperative physiological characteristic data;

[0064] S223. Perform weighted summation on the analysis results of the degree of physiological differences in the autonomic nervous system, the endocrine system, and the immune system to obtain the analysis results of the degree of difference in physiological characteristics of patients with anxiety disorders before and after surgery. Abnormalities in the autonomic nervous, endocrine, and immune systems will jointly aggravate the somatic symptoms of anxiety in patients with anxiety disorders after surgery. Therefore, this step uses the weighted summation method to quantify the different degrees of influence of abnormal physiological characteristics of the autonomic nervous, endocrine, and immune systems on the degree of difference in physiological characteristics of patients with anxiety disorders before and after surgery. The calculation formula for the degree of difference in physiological characteristics before and after surgery is: Dt = a1×Dans+a2×Dhpa+a3×Dim, where Dt is the degree of difference in physiological characteristics of patients with anxiety disorders before and after surgery, and a1, a2, and a3 are the weights of the influence of physiological differences in the autonomic nervous system, the weights of the influence of physiological differences in the endocrine system, and the weights of the influence of physiological differences in the immune system, respectively.

[0065] As a preferred technical solution of the present invention, step S3 analyzes the complexity of the surgery of the anxiety patient based on the symptom response data and surgery data of the anxiety patient, which specifically includes the following steps:

[0066] S31. Extracting symptom response data and surgical data of anxiety patients; wherein the symptom response data includes: a heat distribution map of anxiety somatization symptoms generated by preoperative electromyography of anxiety patients; and the surgical data includes: a three-dimensional spatial mask matrix of anxiety patients obtained by preoperative image segmentation and intraoperative physiological characteristic data;

[0067] S32. Based on the symptom response data and surgical data of the anxiety disorder patients, the surgical complexity of the anxiety disorder patients is analyzed to obtain the analysis results of the surgical complexity of the anxiety disorder patients.

[0068] As a preferred technical solution of the present invention, step S32 analyzes the complexity of the surgery for the anxiety patient, including the following specific steps:

[0069] S321. Based on the heat distribution map of somatized anxiety symptoms, the three-dimensional spatial mask matrix of anxiety patients, and intraoperative physiological characteristic data, the symptom-surgery correlation strength is analyzed to obtain the symptom-surgery correlation strength analysis results for anxiety patients. The interaction between the real-time sympathetic nerve activity changes and the degree of spatial overlap during surgery can increase the psychological stress risk of anxiety patients. Therefore, this step quantifies the impact of the correlation between anxiety symptoms and the surgical area on psychological stress by multiplying the anatomical overlap intensity and the intraoperative sympathetic nerve activation level. The symptom-surgery correlation strength of anxiety patients is quantified, thereby achieving a comprehensive reflection of the physiological condition of anxiety patients during surgery. The calculation formula for the symptom-surgery correlation strength is: Among them, Csp is the symptom-surgery correlation strength of patients with anxiety disorders, Scl is the difference coefficient of intraoperative skin conductance level of patients with anxiety disorders in intraoperative physiological characteristic data, Sh is the thermal value set of all pixels in the thermal distribution map of somatization symptoms of anxiety, is to perform element-by-element multiplication of the elements in the two sets, Sr is the three-dimensional spatial mask matrix set of anxiety patients, where the voxel value of the surgical area of the anxiety patients in the three-dimensional spatial mask matrix set is 1, and the voxel value of the non-surgical area is 0; ∑ is the sum of the elements in the set;

[0070] S322. Analyze the degree of intraoperative physiological compensation based on the intraoperative physiological characteristic data to obtain an analysis result of the degree of intraoperative physiological compensation in anxiety patients. This step reflects the cardiovascular compensation load of anxiety patients by analyzing the degree of sustained deviation of heart rate during surgery, and further reflects the degree of intraoperative physiological compensation, thereby quantifying the complexity of the surgery in anxiety patients. The calculation formula for the degree of intraoperative physiological compensation is: Wherein, Csz is the degree of intraoperative physiological compensation of patients with anxiety disorder, T is the duration of surgery, h(t) is the real-time heart rate of patients with anxiety disorder at the tth moment during the surgery in the intraoperative physiological characteristic data, hjx is the mean of the preoperative resting heart rate of patients with anxiety disorder during the preoperative examination, and Sjx is the standard deviation of the preoperative resting heart rate of patients with anxiety disorder during the preoperative examination;

[0071] S323. Perform weighted summation on the analysis results of the symptom-surgery association strength and the analysis results of the intraoperative physiological compensation degree to obtain the analysis results of the surgical complexity of patients with anxiety disorder. This step achieves accurate quantification of the surgical complexity of patients with anxiety disorder by comprehensively analyzing the different degrees of influence of the symptom-surgery association strength and the intraoperative physiological compensation degree on the surgical complexity of patients with anxiety disorder. The calculation formula for surgical complexity is: Sf = b1 × Csp + b2 × Csz, where Sf is the surgical complexity of patients with anxiety disorder, b1 and b2 are the influence weights of the symptom-surgery association strength and the influence weights of the intraoperative physiological compensation degree, respectively.

[0072] As a preferred technical solution of the present invention, step S4 is to assess the psychological stress risk of anxiety patients based on the analysis results of the degree of difference in physiological characteristics before and after surgery and the analysis results of the complexity of surgery, including the following specific steps:

[0073] S41. Obtaining the analyzed results of the difference in physiological characteristics before and after the operation and the analysis results of the complexity of the operation;

[0074] S42. Based on the analysis results of the degree of difference in physiological characteristics before and after surgery and the analysis results of the complexity of surgery, the psychological stress risk of patients with anxiety disorders is evaluated. This step converts the interaction between the degree of difference in physiological characteristics and the complexity of surgery into a nonlinear psychological stress risk value through a bidirectional exponential synergistic effect. The exponential function amplifies the interaction between the degree of difference in physiological characteristics and the complexity of surgery. For example, when an anxiety patient has both a high degree of difference in physiological characteristics and a high degree of surgical complexity, the patient's psychological stress risk will increase exponentially, which is more in line with the pathological mechanism of a "vicious cycle" in which the somatization symptoms of anxiety disorder aggravate the patient's anxiety, and the anxiety further amplifies the patient's physiological response. The psychological stress risk assessment formula is: Rh = Dt × exp(Sf) + Sf × exp(Dt), where Rh is the psychological stress risk of patients with anxiety disorders.

[0075] As a preferred technical solution of the present invention, in step S5, according to the psychological stress risk assessment results, a patient psychological care warning is issued to medical staff, specifically including:

[0076] S51. Obtain the psychological stress risk assessment results of the anxiety disorder patient;

[0077] S52, preset a psychological stress risk threshold, when the psychological stress risk assessment result of the anxiety patient is greater than the psychological stress risk threshold, the patient psychological care warning is issued to the medical staff. Among them, the setting parameters (such as weights and thresholds) in this embodiment are obtained by experiments by those skilled in the art, and the specific experimental method is: obtain preoperative physiological characteristic data and postoperative physiological characteristic data of multiple historical anxiety patients, and simultaneously obtain symptom response data and surgical data of the corresponding anxiety patients; substitute the preoperative physiological characteristic data and postoperative physiological characteristic data and the symptom response data and surgical data of the corresponding anxiety patients into each step in this embodiment to obtain the psychological stress risk assessment results of multiple historical anxiety patients; obtain the judgment results of whether multiple historical anxiety patients have psychological stress risks, substitute the psychological stress risk assessment results of multiple historical anxiety patients obtained in each step in this embodiment and the judgment results of whether the corresponding anxiety patients have psychological stress risks into the fitting software, and output the values of the setting parameters (such as weights and thresholds) that meet the highest psychological stress risk judgment accuracy.

[0078] Example 2

[0079] like Figure 2 As shown, this embodiment provides a psychological care analysis system for neurology patients based on a smart chip, including:

[0080] A data acquisition module is used to obtain preoperative physiological characteristic data and postoperative physiological characteristic data of patients with anxiety disorders, and simultaneously obtain symptom response data and surgical data of patients with anxiety disorders;

[0081] A physiological characteristic difference degree analysis module is used to analyze the degree of difference in physiological characteristics of anxiety patients before and after surgery based on preoperative physiological characteristic data and postoperative physiological characteristic data;

[0082] A surgical complexity analysis module is used to analyze the surgical complexity of patients with anxiety disorders based on their symptom response data and surgical data;

[0083] The psychological stress risk assessment module is used to assess the psychological stress risk of patients with anxiety disorders based on the analysis results of the degree of difference in physiological characteristics before and after surgery and the analysis results of the complexity of surgery;

[0084] Patient psychological care early warning module, used to provide medical staff with patient psychological care early warning based on the results of psychological stress risk assessment;

[0085] The control module is used to control the operation of the data acquisition module, the physiological characteristics difference analysis module, the operation complexity analysis module, the psychological stress risk assessment module, and the patient psychological care early warning module.

[0086] The above-mentioned parameters and steps for each unit module to realize the corresponding functions in the psychological care analysis system for neurological patients based on smart chips of the present invention can be referred to the parameters and steps in the embodiment of the psychological care analysis method for neurological patients based on smart chips above, and will not be repeated here.

[0087] Example 3

[0088] An electronic device according to an embodiment of the present invention includes a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes a smart chip-based psychological care analysis method for neurological patients by calling the computer program stored in the memory. It should be noted that all computer programs of the smart chip-based psychological care analysis method for neurological patients are implemented using the C language, wherein the data acquisition module, the physiological characteristic difference degree analysis module, the surgical complexity analysis module, the psychological stress risk assessment module, the patient psychological care warning module, and the control module are all controlled by a remote server.

[0089] Throughout this specification, references to terms such as "one embodiment," "example," or "specific example" indicate that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. In this specification, schematic representations of these terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0090] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to the specific embodiments described. Obviously, many modifications and variations are possible based on the content of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for analyzing psychological care for neurological patients based on smart chips, characterized in that: The steps include: S1. Obtain preoperative and postoperative physiological characteristic data of patients with anxiety disorders, as well as symptom response data and surgical data of patients with anxiety disorders; S2. Based on the preoperative and postoperative physiological characteristic data, analyze the degree of difference in physiological characteristics of patients with anxiety disorders before and after surgery; S3. Analyze the complexity of surgery for patients with anxiety disorders based on their symptom response data and surgical data. S4. Assess the psychological stress risk of patients with anxiety disorders based on the analysis of the degree of difference in physiological characteristics before and after surgery and the analysis of the complexity of surgery; S5. Provide patient psychological care warnings to medical staff based on the results of psychological stress risk assessment.

2. The method for analyzing psychological care for neurological patients based on smart chips according to claim 1, characterized in that: The step S2 analyzes the degree of difference in physiological characteristics before and after surgery of the anxiety disorder patient based on the preoperative physiological characteristic data and the postoperative physiological characteristic data, specifically including: S21. Extracting preoperative and postoperative physiological characteristic data of patients with anxiety disorders; S22. Based on the preoperative physiological characteristic data and the postoperative physiological characteristic data, the degree of difference in the physiological characteristics of the anxiety disorder patients before and after the operation is analyzed to obtain the analysis results of the degree of difference in the physiological characteristics before and after the operation.

3. The method for analyzing psychological care for neurological patients based on smart chips according to claim 2, characterized in that: The step S22 is to analyze the difference in physiological characteristics of anxiety patients before and after surgery, specifically including: S221. Analyze the degree of physiological differences of the autonomic nervous system based on the preoperative physiological characteristic data and the postoperative physiological characteristic data to obtain an analysis result of the degree of physiological differences of the autonomic nervous system; S222. Analyze the degree of physiological differences of the endocrine system based on the preoperative physiological characteristic data and the postoperative physiological characteristic data to obtain an analysis result of the degree of physiological differences of the endocrine system; S223. Analyze the degree of physiological differences of the immune system based on the preoperative physiological characteristic data and the postoperative physiological characteristic data to obtain an analysis result of the degree of physiological differences of the immune system; S223. Perform weighted summation on the analysis results of the degree of physiological differences of the autonomic nervous system, the endocrine system, and the immune system to obtain the analysis results of the degree of difference in physiological characteristics of anxiety patients before and after surgery.

4. The method for analyzing psychological care for neurological patients based on smart chips according to claim 3 is characterized in that: The step S3 analyzes the complexity of the surgery of the anxiety patient based on the symptom response data and surgery data of the anxiety patient, and specifically includes the following steps: S31. Extracting symptom response data and surgical data of anxiety patients; wherein the symptom response data includes: a heat distribution map of anxiety somatization symptoms generated by preoperative electromyography of anxiety patients; and the surgical data includes: a three-dimensional spatial mask matrix of anxiety patients obtained by preoperative image segmentation and intraoperative physiological characteristic data; S32. Based on the symptom response data and surgical data of the anxiety disorder patients, the surgical complexity of the anxiety disorder patients is analyzed to obtain the analysis results of the surgical complexity of the anxiety disorder patients.

5. The method for analyzing psychological care for neurological patients based on smart chips according to claim 4 is characterized in that: The step S32 of analyzing the complexity of the surgery for the anxiety patient includes the following specific steps: S321. Analyze the symptom-surgery correlation strength based on the anxiety somatization symptom heat distribution map, the three-dimensional spatial mask matrix of anxiety patients, and the intraoperative physiological characteristic data to obtain the symptom-surgery correlation strength analysis results for anxiety patients; S322. Analyze the degree of intraoperative physiological compensation based on the intraoperative physiological characteristic data to obtain an analysis result of the degree of intraoperative physiological compensation in patients with anxiety disorder; S323. Perform weighted summation on the symptom-surgery association strength analysis results and the intraoperative physiological compensation degree analysis results to obtain the surgical complexity analysis results for anxiety disorder patients.

6. The method for analyzing psychological care for neurological patients based on smart chips according to claim 5 is characterized in that: Step S4, based on the analysis results of the difference in physiological characteristics before and after surgery and the analysis results of the complexity of surgery, assesses the psychological stress risk of the anxiety patient, including the following specific steps: S41. Obtaining the analyzed results of the difference in physiological characteristics before and after the operation and the analysis results of the complexity of the operation; S42. Assess the psychological stress risk of patients with anxiety disorders based on the analysis results of the degree of difference in physiological characteristics before and after surgery and the analysis results of the complexity of surgery.

7. The method for analyzing psychological care for neurological patients based on smart chips according to claim 6, characterized in that: In step S5, according to the psychological stress risk assessment result, a psychological care warning for the patient is provided to medical staff, specifically including: S51. Obtain the psychological stress risk assessment results of the anxiety disorder patient; S52. A psychological stress risk threshold is preset. When the psychological stress risk assessment result of an anxiety patient is greater than the psychological stress risk threshold, a psychological care warning for the patient is issued to medical staff.

8. A smart chip-based psychological care analysis system for neurology patients, used to implement the smart chip-based psychological care analysis method for neurology patients according to any one of claims 1 to 7, characterized in that: The system comprises: A data acquisition module is used to obtain preoperative physiological characteristic data and postoperative physiological characteristic data of patients with anxiety disorders, and simultaneously obtain symptom response data and surgical data of patients with anxiety disorders; A physiological characteristic difference degree analysis module is used to analyze the degree of difference in physiological characteristics of anxiety patients before and after surgery based on preoperative physiological characteristic data and postoperative physiological characteristic data; A surgical complexity analysis module is used to analyze the surgical complexity of patients with anxiety disorders based on their symptom response data and surgical data; The psychological stress risk assessment module is used to assess the psychological stress risk of patients with anxiety disorders based on the analysis results of the degree of difference in physiological characteristics before and after surgery and the analysis results of the complexity of surgery; Patient psychological care early warning module, used to provide medical staff with patient psychological care early warning based on the results of psychological stress risk assessment; A control module is used to control the operation of the data acquisition module, the physiological characteristics difference degree analysis module, the operation complexity analysis module, the psychological stress risk assessment module, and the patient psychological care early warning module.

9. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes the smart chip-based psychological care analysis method for neurological patients as described in any one of claims 1 to 7 by calling the computer program stored in the memory.

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