A data processing method and system for mental health assessment

Abstract

The present invention proposes a data processing method and system for mental health assessment. The data processing method for mental health assessment includes: real-time collection of physiological data information of patients, and generation of physiological data unit index values ​​corresponding to patients based on the physiological data information; sending the physiological data unit index values ​​corresponding to each data collection unit period to the medical cloud platform, and obtaining the patient's current index parameters through the medical cloud platform each time a physiological data unit index value is received; judging whether it is necessary to send the patient's physiological data unit index values ​​and their corresponding index parameters to the medical terminal according to the data retrieval instruction of the medical terminal; the medical terminal obtains the patient's comprehensive evaluation index parameters based on all physiological data unit index values ​​and their corresponding index parameters collected after the last visit. The system includes modules corresponding to the steps of the method.

Description

Technical Field

[0001] The invention proposes a data processing method and system for mental health assessment, belonging to the technical field of medical data processing. Background Art

[0002] Mental health assessment is a scientific and systematic method that helps people better understand their mental state and problems by evaluating the individual's mental condition, and provides effective intervention measures to improve mental health.

[0003] Assessment usually includes the comprehensive use of clinical interviews, behavioral observations, tests and other methods to conduct a comprehensive, systematic and in-depth analysis of the psychological phenomena of individuals or groups. Clinical interview is one of the most commonly used methods in mental health assessment. Through face-to-face communication, the psychological condition, emotional state, behavioral performance and other aspects of the person being assessed are understood, so as to draw an assessment conclusion. In addition, scientific psychological measurement methods can also be used to assess the mental health status and psychological quality of the examinee. The significance of mental health assessment is that it can help people discover psychological problems in a timely manner, prevent and treat mental illnesses, and improve the individual's mental health level. Through assessment, detailed information about individual psychological characteristics, cognitive abilities, emotional states, personality traits, psychological problems and other aspects can be obtained, which is helpful for the diagnosis and treatment process.

[0004] However, in the current mental health assessment process, it is often necessary to collect the patient's physiological data information in real time due to the long-term observation scenario of mental health. Physiological data is used as a physiological indicator for evaluating psychological problems. The occurrence of many mental illnesses will affect the changes in physiological data in terms of manifestation. Therefore, it is necessary to process and analyze the patient's physiological data information. Real-time collection of the patient's physiological data will result in a very large amount of data processing, which in turn increases the data processing volume of the terminal, resulting in the problem of excessive terminal data processing load, which in turn reduces the data processing efficiency of the health assessment. Summary of the invention

[0005] The present invention provides a data processing method and system for mental health assessment, which is used to solve the problem that the data processing volume is very large due to the need to collect the patient's physiological data information in real time in the long-term observation scenario of mental health, thereby increasing the data processing volume of the terminal, resulting in excessive terminal data processing load and low data processing efficiency. The technical solutions adopted are as follows:

[0006] A data processing method for mental health assessment, the data processing method for mental health assessment comprising:

[0007] Collect the patient's physiological data information in real time, and generate the patient's corresponding physiological data unit indicator value based on the physiological data information;

[0008] Send the physiological data unit index value corresponding to each data collection unit period to the medical cloud platform, and obtain the patient's current index parameter through the medical cloud platform every time a physiological data unit index value is received;

[0009] Determine whether it is necessary to send the patient's physiological data unit index value and its corresponding index parameter to the medical terminal according to the data retrieval instruction of the medical terminal;

[0010] The medical terminal obtains the comprehensive evaluation index parameters of the patient based on all physiological data unit index values ​​and their corresponding index parameters collected after the last visit.

[0011] Furthermore, the physiological data information of the patient is collected in real time, and the physiological data unit index value corresponding to the patient is generated according to the physiological data information, including:

[0012] Retrieving the data collection unit time period corresponding to the patient from the medical terminal, wherein the value range of the data collection unit time period is 1 day to 3 days;

[0013] The target physiological data information of the patient is collected in real time in each data collection unit period through a data collection device worn by the patient; wherein the target physiological data information includes heart rate, blood pressure, respiratory rate and skin electrode response;

[0014] The physiological data unit index value corresponding to each data collection unit time period of the patient is obtained according to the target physiological data information of the patient collected in each data collection unit time period.

[0015] Furthermore, obtaining the physiological data unit index value corresponding to each data collection unit period of the patient according to the target physiological data information collected by the patient in each data collection unit period includes:

[0016] Extract the patient's heart rate and respiratory rate in each data acquisition unit period; wherein the monitoring period of the heart rate and respiratory rate is every 1 minute;

[0017] The first index component is obtained by using the heart rate and respiratory rate of the patient in each data acquisition unit period; wherein the first index component is obtained by the following formula:

[0018]

[0019]

[0020]

[0021] Among them, Z 01 Represents the first index component; Zc01 and Z c02 Respectively represent the heart rate coefficient and respiratory rate coefficient; n represents the total number of monitoring cycles of heart rate and respiratory rate contained in each data acquisition unit period; C 01i and C 02i Respectively represent the heart rate value and respiratory rate value collected in the i-th monitoring cycle;

[0022] Extracting the patient's blood pressure in each data collection unit period; wherein the blood pressure monitoring cycle is twice per day;

[0023] The second index component is obtained by using the blood pressure of the patient in each data collection unit period; wherein the first index component is obtained by the following formula:

[0024]

[0025]

[0026]

[0027] Among them, Z 02 Represents the second index component; Z c03 and Z c04 They represent the systolic pressure coefficient and the diastolic pressure coefficient respectively; m represents the number of blood pressure collections; S 01i and S 02i They represent the systolic and diastolic blood pressure values ​​corresponding to the i-th blood pressure test respectively; C 01max Indicates the heart rate value corresponding to the maximum systolic blood pressure in the blood pressure test within the data collection unit period; C max Indicates the maximum heart rate within the data collection unit period; C 01p It indicates the average heart rate during the data collection unit period;

[0028] Extracting the skin electrode response of the patient in each data acquisition unit period; wherein the monitoring period of the skin electrode response is every 1 minute;

[0029] The third index component is obtained by using the skin electrode response of the patient in each data acquisition unit period; wherein the third index component is obtained by the following formula:

[0030]

[0031] Among them, Z 03 represents the third index component; k represents the number of acquisitions of skin electrical point response; G i represents the value corresponding to the i-th skin electrode response acquisition; G0 represents the preset skin electrode response threshold; G 01gIndicates the heart rate value corresponding to the maximum value of the skin electrical point response; G 02g Indicates the respiratory rate value corresponding to the maximum value of the skin electrical point response; C 02max Indicates the maximum respiratory rate within the data collection unit period;

[0032] The first index component, the second index component and the third index component are used to obtain the physiological data unit index value corresponding to each data collection unit period, wherein the physiological data unit index value corresponding to each data collection unit period is obtained by the following formula:

[0033]

[0034] Among them, Z represents the value of the physiological data unit indicator; α 01 , α 02 and α 03 Respectively represent the weight values ​​corresponding to the first indicator component, the second indicator component and the third indicator component.

[0035] Furthermore, the physiological data unit index value corresponding to each data collection unit period is sent to the medical cloud platform, and the current index parameter of the patient is obtained by the medical cloud platform each time a physiological data unit index value is received, including:

[0036] The data collection device worn by the patient sends the physiological data unit indicator value corresponding to each data collection unit period to the medical cloud platform;

[0037] When the medical cloud platform receives the physiological data unit indicator value sent by the data acquisition device, it uses all the physiological data unit indicator values ​​collected after the patient's last visit and the indicator parameters obtained when the medical cloud platform received the patient's last physiological data unit indicator value to obtain the indicator parameters corresponding to each time the medical platform receives the current physiological data unit indicator value.

[0038] Further, when the medical cloud platform receives the physiological data unit indicator value sent by the data acquisition device, it uses all the physiological data unit indicator values ​​collected after the patient's last visit and the indicator parameter obtained when the medical cloud platform receives the patient's last physiological data unit indicator value to obtain the indicator parameter corresponding to each physiological data unit indicator value received by the medical platform, including:

[0039] When the medical cloud platform receives the physiological data unit index value sent by the data acquisition device, it retrieves all the physiological data unit index values ​​collected after the patient's last visit;

[0040] The index comprehensive parameters are obtained by using the unit index values ​​of all physiological data collected after the patient's last visit; wherein the index comprehensive parameters are obtained by the following formula:

[0041]

[0042] Among them, Z h represents the comprehensive parameter of the index; r represents the number of all the unit index values ​​of physiological data collected since the last visit at the current moment; Z i Indicates the data value corresponding to the value of the i-th physiological data unit indicator;

[0043] Retrieving the index parameter obtained by the medical cloud platform when receiving the last physiological data unit index value of the patient as a reference parameter;

[0044] The comprehensive index parameter and the reference parameter are used to obtain the index parameter corresponding to each time the medical platform receives the current physiological data unit index value; wherein the index parameter is obtained by the following formula:

[0045]

[0046] Among them, Z b It indicates the indicator parameter corresponding to each physiological data unit indicator value received by the medical platform; Z x It indicates the indicator parameter corresponding to each time the medical platform receives the indicator value of the last physiological data unit; Z s Indicates the data value corresponding to each physiological data unit indicator value received by the medical platform; Z e Indicates the data value corresponding to the last physiological data unit indicator value received by the medical platform.

[0047] Further, judging whether it is necessary to send the patient's physiological data unit index value and its corresponding index parameter to the medical terminal according to the data retrieval instruction of the medical terminal includes:

[0048] The medical cloud platform determines in real time whether it has received a data retrieval instruction about the patient sent by the medical terminal;

[0049] When the medical cloud platform receives a data retrieval instruction about a patient from a medical terminal, it sends all the unit index values ​​of the physiological data collected after the last visit of the patient to the medical terminal;

[0050] Retrieve each indicator parameter corresponding to all the physiological data unit indicator values ​​collected after the last visit corresponding to the current patient, and send each indicator parameter to the medical terminal.

[0051] Furthermore, the medical terminal obtains the patient's comprehensive evaluation index parameters according to all physiological data unit index values ​​and their corresponding index parameters collected after the last visit, including:

[0052] The medical terminal obtains a weight coefficient of an indicator parameter corresponding to each physiological data unit indicator value according to all physiological data unit indicator values ​​collected after the patient's last visit;

[0053] The medical terminal obtains comprehensive evaluation index parameters by using weight coefficients of index parameters corresponding to individual physiological data unit index values ​​in combination with index parameters corresponding to each physiological data unit index value collected after the patient's last visit.

[0054] Furthermore, the medical terminal obtains the weight coefficient of the indicator parameter corresponding to each physiological data unit indicator value according to all physiological data unit indicator values ​​collected after the patient's last visit, including:

[0055] The medical terminal retrieves all physiological data unit index values ​​collected by the patient after the patient's last visit;

[0056] The medical terminal retrieves the brain wave data information collected by the patient during the last visit; wherein the brain wave data information includes frequency information, amplitude information and phase information;

[0057] The medical terminal uses the time distance between the brain wave data information and each physiological data unit indicator value to obtain the indicator intensity coefficient corresponding to each physiological data unit indicator value; wherein the indicator intensity coefficient corresponding to each physiological data unit indicator value is obtained by the following formula:

[0058]

[0059]

[0060] Among them, q represents the index intensity coefficient corresponding to the value of the i-th physiological data unit index; ISC i Indicates the time coefficient corresponding to the value of the i-th physiological data unit indicator; T n Indicates the timestamp of the generation of the report corresponding to the EEG data information; T i Indicates the timestamp of the physiological data unit indicator value; min(ISC) indicates the minimum value of the generated time coefficient; max(ISC) indicates the maximum value of the generated time coefficient; Z F Indicates the physiological data unit index value corresponding to the maximum value of the generated time coefficient; Z L Indicates the value of the physiological data unit index corresponding to the minimum value of the generated time coefficient;

[0061] The weight coefficient of the indicator parameter corresponding to the physiological data unit indicator value is obtained by using the physiological data unit indicator value and its corresponding indicator intensity coefficient; wherein the weight coefficient is obtained by the following formula:

[0062]

[0063] Wherein, λ represents the weight coefficient of the index parameter corresponding to the i-th unit index value of the physiological data; λ c Represents the initial weight coefficient of the indicator parameter corresponding to the i-th unit indicator value of the physiological data.

[0064] Furthermore, the medical terminal uses the weight coefficient of the indicator parameter corresponding to each physiological data unit indicator value in combination with the indicator parameter corresponding to each physiological data unit indicator value collected after the patient's last visit to obtain a comprehensive evaluation indicator parameter, including:

[0065] Retrieving the index parameter corresponding to each unit index value of the physiological data collected after the patient's last visit;

[0066] The comprehensive evaluation index parameters are obtained by using the index parameters and their corresponding weight coefficients corresponding to each unit index value of the physiological data collected after the patient's last visit, wherein the comprehensive evaluation index parameters are obtained by the following formula:

[0067]

[0068] Among them, Z zh represents the comprehensive evaluation index parameter; R represents the total number of values ​​of each physiological data unit index collected after the last visit; Z bi Indicates the value of the indicator parameter corresponding to the i-th physiological data unit indicator value.

[0069] A data processing system for mental health assessment, the data processing system for mental health assessment comprising:

[0070] A real-time acquisition module is used to collect the patient's physiological data information in real time and generate the patient's corresponding physiological data unit indicator value according to the physiological data information;

[0071] The indicator parameter module is used to send the physiological data unit indicator value corresponding to each data collection unit period to the medical cloud platform, and obtain the patient's current indicator parameter through the medical cloud platform each time a physiological data unit indicator value is received;

[0072] An information sending module, used to determine whether it is necessary to send the patient's physiological data unit index value and its corresponding index parameter to the medical terminal according to the data retrieval instruction of the medical terminal;

[0073] The comprehensive index acquisition module is used for the medical terminal to obtain the patient's comprehensive evaluation index parameters based on all physiological data unit index values ​​and their corresponding index parameters collected after the last visit.

[0074] Beneficial effects of the present invention:

[0075] The data processing method and system for mental health assessment proposed by the present invention fuses and processes the physiological data information by multi-source fusion of a large amount of physiological data information of the patient at the data acquisition end, thereby improving the data processing capability of the data acquisition end corresponding to each patient, effectively reducing the amount of data and data frequency sent by the data acquisition end to the terminal, and thus reducing the data processing load of the terminal to the greatest extent. At the same time, by real-time acquisition and transmission of physiological data, the physiological state of the patient can be continuously monitored, abnormal changes can be discovered in time, and timely intervention and treatment are possible. Using the medical cloud platform for data processing and parameter acquisition can efficiently process a large amount of data and ensure the accuracy of the data, providing strong support for the doctor's decision-making. By comprehensively analyzing the data collected multiple times, a more comprehensive and in-depth evaluation result can be obtained, which helps the doctor to understand the patient's health status more accurately and formulate a more appropriate treatment plan. Transmitting data on demand can reduce unnecessary communication burden, optimize the allocation of medical resources, and improve the efficiency of medical services. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] Figure 1 is a flow chart of the method of the present invention;

[0077] Figure 2 The system block diagram of the system of the present invention. DETAILED DESCRIPTION

[0078] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0079] The embodiment of the present invention proposes a data processing method for mental health assessment, such as Figure 1 As shown, the data processing method applied to mental health assessment includes:

[0080] S1. Collect the patient's physiological data information in real time, and generate the patient's corresponding physiological data unit indicator value according to the physiological data information;

[0081] S2. Send the physiological data unit index value corresponding to each data collection unit period to the medical cloud platform, and obtain the patient's current index parameter through the medical cloud platform each time a physiological data unit index value is received;

[0082] S3, judging whether it is necessary to send the patient's physiological data unit index value and its corresponding index parameter to the medical terminal according to the data retrieval instruction of the medical terminal;

[0083] S4. The medical terminal obtains the patient's comprehensive evaluation index parameters based on all physiological data unit index values ​​and their corresponding index parameters collected after the last visit.

[0084] The working principle of the above technical solution is as follows: First, the system collects the patient's physiological data information in real time, such as heart rate, blood pressure, respiratory rate, etc. The above data is converted into specific physiological data unit indicator values, which can quantitatively reflect the patient's physiological state.

[0085] Subsequently, the physiological data unit indicator value corresponding to each data collection unit period (such as every minute, every hour, etc.) is sent to the medical cloud platform. When the medical cloud platform receives each value, it will further obtain the patient's current indicator parameters, which may include other health information or diagnostic data related to the physiological data.

[0086] Then, the medical cloud platform determines whether it is necessary to send the patient's physiological data unit index value and its corresponding index parameter to the medical terminal according to the data retrieval instruction of the medical terminal (such as the doctor's workstation, nurse station, etc.), ensuring the on-demand transmission of data and improving the efficiency and pertinence of data transmission.

[0087] Finally, after receiving the data, the medical terminal will conduct a comprehensive analysis based on the values ​​of all physiological data units and their corresponding parameters collected after the last visit to obtain the patient's comprehensive evaluation parameters. The accumulated physiological data is used to form a more comprehensive and in-depth health status assessment.

[0088] The effect of the above technical solution is: by collecting and transmitting physiological data in real time, the patient's physiological state can be continuously monitored, abnormal changes can be detected in time, and timely intervention and treatment are possible. Using the medical cloud platform for data processing and parameter acquisition can efficiently process a large amount of data and ensure the accuracy of the data, providing strong support for doctors' decision-making. By comprehensively analyzing the data collected multiple times, more comprehensive and in-depth evaluation results can be obtained, which helps doctors understand the patient's health status more accurately and formulate more appropriate treatment plans. Transmitting data on demand can reduce unnecessary communication burdens, optimize the allocation of medical resources, and improve the efficiency of medical services.

[0089] In summary, the above technical solution of this embodiment realizes a comprehensive, continuous and efficient assessment of the patient's health status by real-time collection, transmission and analysis of physiological data, and provides technical support for improving the quality of medical services and patient experience.

[0090] In one embodiment of the present invention, the physiological data information of the patient is collected in real time, and a physiological data unit index value corresponding to the patient is generated according to the physiological data information, including:

[0091] S101, retrieve the data collection unit time period corresponding to the patient from the medical terminal (doctor's information and data input platform), wherein the value range of the data collection unit time period is 1 day to 3 days;

[0092] S102, collecting target physiological data information of the patient in each data collection unit period in real time through a data collection device worn by the patient; wherein the target physiological data information includes heart rate, blood pressure, respiratory rate and skin electrode response;

[0093] S103, obtaining a physiological data unit index value corresponding to each data collection unit period of the patient according to the target physiological data information collected from the patient in each data collection unit period.

[0094] The working principle of the above technical solution is as follows: First, retrieve the data collection unit period corresponding to the patient from the medical terminal (such as the doctor's information and data input platform). The data collection unit period here is pre-set, ranging from 1 day to 3 days. The selection of this period may be based on the patient's health status, treatment needs or doctor's evaluation and suggestions.

[0095] Next, the patient's target physiological data information for each data collection unit period is collected in real time through the data collection device (such as a wearable health monitoring device) worn by the patient. The above target physiological data information includes heart rate, blood pressure, respiratory rate, and skin electrode response, etc. The above indicators can reflect the patient's physiological state and emotional changes.

[0096] After collecting physiological data information, the system will convert the above data into corresponding physiological data unit indicator values ​​according to the preset algorithm or standard. The above values ​​can quantitatively describe the patient's physiological condition and provide objective and accurate data support for doctors.

[0097] The effects of the above technical solution are: by retrieving the patient-specific data collection unit time period from the medical terminal, personalized settings for data collection are realized, and the frequency and duration of data collection can be adjusted according to the patient's specific situation. Physiological data information is collected in real time through the data collection device worn by the patient, ensuring the real-time and accuracy of the data, and being able to detect the patient's physiological changes in a timely manner. The target physiological data information collected includes heart rate, blood pressure, respiratory rate, and skin electrode response, which can fully reflect the patient's physiological state and emotional changes, and provide a richer data basis for the doctor's comprehensive evaluation. Converting physiological data information into physiological data unit indicator values ​​facilitates doctors to conduct quantitative analysis and comparison, and improves the accuracy and objectivity of the evaluation.

[0098] To sum up, the above technical solution of this embodiment realizes a comprehensive, continuous and accurate assessment of the patient's physiological state through personalized data collection settings and real-time and accurate data collection and conversion, provides strong data support for doctors, and helps to improve the quality and efficiency of medical services.

[0099] In one embodiment of the present invention, obtaining the physiological data unit index value corresponding to each data collection unit period of the patient according to the target physiological data information of the patient collected in each data collection unit period includes:

[0100] S1031, extracting the patient's heart rate and respiratory rate in each data collection unit period; wherein the monitoring period of the heart rate and respiratory rate is every 1 minute, that is, the patient's heart rate and respiratory rate in the current minute are collected once every minute;

[0101] S1032. Obtain a first index component using the patient's heart rate and respiratory rate in each data collection unit period; wherein the first index component is obtained by the following formula:

[0102]

[0103]

[0104]

[0105] Among them, Z 01 Represents the first index component; Z c01 and Z c02 Respectively represent the heart rate coefficient and respiratory rate coefficient; n represents the total number of monitoring cycles of heart rate and respiratory rate contained in each data acquisition unit period; C 01i and C 02i Respectively represent the heart rate value and respiratory rate value collected in the i-th monitoring cycle;

[0106] S1033, extracting the blood pressure of the patient in each data collection unit period; wherein the blood pressure monitoring cycle is to collect blood pressure twice a day, that is, to collect blood pressure of the patient once a day in the morning and evening of the same day;

[0107] The second index component is obtained by using the blood pressure of the patient in each data collection unit period; wherein the first index component is obtained by the following formula:

[0108]

[0109]

[0110]

[0111] Among them, Z 02 Represents the second index component; Z c03 and Z c04 Respectively represent the systolic pressure coefficient and the diastolic pressure coefficient; m represents the number of blood pressure collections; S 01i and S 02i They represent the systolic and diastolic blood pressure values ​​corresponding to the i-th blood pressure test respectively; C 01max Indicates the heart rate value corresponding to the maximum systolic blood pressure in the blood pressure test within the data collection unit period; C max Indicates the maximum heart rate within the data collection unit period; C 01p It indicates the average heart rate during the data collection unit period;

[0112] S1034, extracting the skin electrode response of the patient in each data collection unit period; wherein the monitoring period of the skin electrode response is every 1 minute, that is, the value corresponding to the skin electrode response of the patient is collected once every minute;

[0113] S1035. Obtain a third index component using the skin electrode response of the patient in each data collection unit period; wherein the third index component is obtained by the following formula:

[0114]

[0115] Among them, Z 03 represents the third index component; k represents the number of acquisitions of skin electrical point response; G i represents the value corresponding to the i-th skin electrode response acquisition; G0 represents the preset skin electrode response threshold; G 01g Indicates the heart rate value corresponding to the maximum value of the skin electrical point response; G 02g Indicates the respiratory rate value corresponding to the maximum value of the skin electrical point response; C 02max Indicates the maximum respiratory rate within the data collection unit period;

[0116] S1036. Obtain the physiological data unit indicator value corresponding to each data collection unit period by using the first indicator component, the second indicator component and the third indicator component, wherein the physiological data unit indicator value corresponding to each data collection unit period is obtained by the following formula:

[0117]

[0118] Among them, Z represents the value of the physiological data unit indicator; α 01 , α 02 and α 03 Respectively represent the weight values ​​corresponding to the first indicator component, the second indicator component and the third indicator component.

[0119] The working principle of the above technical solution is as follows: First, the system collects the patient's heart rate and respiratory rate data once a minute. The collected heart rate and respiratory rate data are combined with preset coefficients (heart rate coefficient and respiratory rate coefficient) to calculate the first index component through a specific formula. This component reflects the comprehensive situation of the patient's heart rate and respiratory rate.

[0120] Then, the system collects the patient's blood pressure data twice a day, corresponding to the morning and evening time periods. Combining the blood pressure data (systolic and diastolic) and the heart rate data in the same data collection unit period, the second indicator component is calculated through a specific formula. This component comprehensively considers the relationship between blood pressure and heart rate.

[0121] Subsequently, the system collects the patient's skin electrode response data once a minute. Using the skin electrode response data, combined with the preset threshold and the heart rate and respiratory rate data in the same data collection unit period, the third indicator component is calculated through a specific formula. This component reflects the relationship between the skin electrode response and the heart rate and respiratory rate.

[0122] Finally, the system calculates the physiological data unit index value corresponding to each data collection unit period through a specific formula based on the first index component, the second index component and the third index component, combined with their respective weight values. This value is a comprehensive evaluation that can fully reflect the patient's physiological condition.

[0123] The effect of the above technical solution is: the system collects data such as the patient's heart rate, respiratory rate, blood pressure and skin electrodermal response in real time, ensuring the real-time and accuracy of the data, and can promptly detect the patient's physiological changes. By combining multiple physiological indicator data and using specific formulas and coefficients for calculation, a comprehensive physiological data unit indicator value can be obtained, which fully reflects the patient's physiological condition. The indicator calculation of each data collection unit time period takes into account the patient's specific data during the time period, so personalized physiological condition assessment can be achieved. The physiological data unit indicator value can provide doctors with an objective evaluation basis and assist doctors in making more accurate diagnosis and treatment decisions.

[0124] Traditional methods usually rely on only a single physiological parameter (such as heart rate, blood pressure, etc.) to evaluate the patient's physiological condition, which is often not comprehensive and accurate enough. The above technical solution of this embodiment can evaluate the patient's physiological condition more comprehensively and accurately by comprehensively considering multiple physiological parameters such as heart rate, respiratory rate, blood pressure, and skin electrode response. Different physiological parameters have different change frequencies and importance. How to effectively monitor and collect these data is one of the technical problems to be solved by the above technical solution. The above technical solution of this embodiment sets different monitoring cycles according to the characteristics of physiological parameters, such as collecting heart rate and respiratory rate once a minute, collecting blood pressure twice a day, etc., which not only ensures the real-time nature of the data, but also improves the collection efficiency. At the same time, the above technical solution of this embodiment converts physiological data into index components through formula calculation, and further integrates them into physiological data unit index values, thereby realizing data quantification and standardization.

[0125] In addition, by comprehensively considering multiple physiological parameters, the above-mentioned technical solution of this embodiment can more accurately evaluate the patient's physiological condition and reduce the error caused by the evaluation of a single parameter. Setting different monitoring cycles ensures real-time monitoring and collection of physiological data, so that the evaluation results can reflect the changes in the patient's physiological condition more promptly. By comprehensively considering multiple physiological parameters such as heart rate, respiratory rate, blood pressure, and skin electrode response, the above-mentioned technical solution of this embodiment can comprehensively evaluate the patient's physiological condition from multiple angles, avoiding the limitations of a single indicator evaluation. Converting physiological data into a unified indicator value allows data from different patients or the same patient at different time points to be directly compared and analyzed, providing strong support for clinical decision-making.

[0126] In summary, the above technical solution of this embodiment realizes real-time, accurate and comprehensive evaluation of the patient's physiological condition by real-time collection of multiple physiological indicator data and comprehensive calculation using specific formulas and coefficients, providing strong support for doctors' decision-making.

[0127] In one embodiment of the present invention, the physiological data unit index value corresponding to each data collection unit period is sent to the medical cloud platform, and the current index parameter of the patient is obtained by the medical cloud platform each time a physiological data unit index value is received, including:

[0128] S201, the data acquisition device worn by the patient sends the physiological data unit indicator value corresponding to each data acquisition unit period to the medical cloud platform;

[0129] S202. When the medical cloud platform receives the physiological data unit indicator value sent by the data acquisition device, it uses all the physiological data unit indicator values ​​collected after the patient's last visit and the indicator parameters obtained when the medical cloud platform received the patient's last physiological data unit indicator value to obtain the indicator parameters corresponding to each time the medical platform receives the current physiological data unit indicator value.

[0130] The working principle of the above technical solution is as follows: First, the data acquisition device worn by the patient is responsible for real-time collection of physiological data, and calculates the value of the physiological data unit indicator corresponding to each data collection unit period. Then, the above value will be automatically sent to the medical cloud platform.

[0131] Then, after receiving the physiological data unit indicator value sent by the data acquisition device, the medical cloud platform will immediately start processing the above data. The key step of processing is to use all the physiological data unit indicator values ​​collected by the patient after the last visit, and combine them with the indicator parameters obtained by the medical cloud platform when receiving the patient's last physiological data unit indicator value, to calculate the indicator parameters corresponding to the currently received physiological data unit indicator value.

[0132] Finally, the calculated index parameters will be updated and stored by the medical cloud platform for subsequent analysis and use. At the same time, the above parameters will also provide doctors with real-time feedback on the patient's current physiological state.

[0133] The effect of the above technical solution is: by sending and receiving physiological data unit indicator values ​​in real time, the medical cloud platform can obtain the patient's latest physiological status information, ensuring the real-time and continuity of the evaluation. Using the indicator parameters of all physiological data unit indicator values ​​collected by the patient after the last visit and the previously received values, the medical cloud platform can perform dynamic analysis to obtain the latest indicator parameters. This dynamic analysis method can more accurately reflect the changes in the patient's physiological state and provide doctors with more accurate feedback. The medical cloud platform can integrate the physiological data of patients from multiple visits to form a complete health record, which helps doctors to fully understand the patient's health status and formulate more accurate treatment plans. Through automated data transmission and processing, the medical cloud platform can reduce manual operations, improve the efficiency of medical services, and provide patients with a better medical experience.

[0134] To sum up, the above technical solution of this embodiment realizes real-time and accurate assessment of the patient's physiological state by sending and receiving physiological data unit indicator values ​​in real time and performing dynamic analysis in combination with previous physiological data and indicator parameters, providing strong decision-making support for doctors and improving the efficiency and quality of medical services.

[0135] In one embodiment of the present invention, when the medical cloud platform receives the physiological data unit indicator value sent by the data acquisition device, it uses all the physiological data unit indicator values ​​collected after the patient's last visit and the indicator parameter obtained by the medical cloud platform when receiving the patient's last physiological data unit indicator value to obtain the indicator parameter corresponding to each physiological data unit indicator value received by the medical platform, including:

[0136] S2021. When the medical cloud platform receives the physiological data unit indicator value sent by the data acquisition device, it retrieves all the physiological data unit indicator values ​​collected after the patient's last visit;

[0137] S2022. Obtain comprehensive index parameters using all the unit index values ​​of the physiological data collected after the patient's last visit; wherein the comprehensive index parameters are obtained by the following formula:

[0138]

[0139] Among them, Z h represents the comprehensive parameter of the index; r represents the number of all the unit index values ​​of physiological data collected since the last visit at the current moment; Z i Indicates the data value corresponding to the value of the i-th physiological data unit indicator;

[0140] S2023, retrieving the index parameter obtained by the medical cloud platform when receiving the last physiological data unit index value of the patient as a reference parameter;

[0141] S2024. Using the comprehensive index parameter and the reference parameter, obtain the index parameter corresponding to each time the medical platform receives the current physiological data unit index value; wherein the index parameter is obtained by the following formula:

[0142]

[0143] Among them, Z b It indicates the indicator parameter corresponding to each physiological data unit indicator value received by the medical platform; Z x It indicates the indicator parameter corresponding to each time the medical platform receives the indicator value of the last physiological data unit; Z s Indicates the data value corresponding to each physiological data unit indicator value received by the medical platform; Z e Indicates the data value corresponding to the last physiological data unit indicator value received by the medical platform.

[0144] The working principle of the above technical solution is: when the medical cloud platform receives the physiological data unit indicator value sent by the data acquisition device, it will first retrieve all the physiological data unit indicator values ​​collected by the patient after the last visit. The above values ​​are an important basis for evaluating the patient's current physiological state. Using all the retrieved physiological data unit indicator values, the indicator comprehensive parameter is calculated through a specific formula. This comprehensive parameter reflects the overall physiological state change of the patient since the last visit. The medical cloud platform will further retrieve the indicator parameter obtained when receiving the patient's last physiological data unit indicator value as a reference parameter for the current calculation. This reference parameter provides a benchmark for calculating the current indicator parameter. Finally, the medical cloud platform uses the indicator comprehensive parameter, the reference parameter and the currently received physiological data unit indicator value to calculate the indicator parameter corresponding to the medical platform when each physiological data unit indicator value is received through a specific formula. This indicator parameter is an accurate assessment of the patient's current physiological state.

[0145] The effect of the above technical solution is: by retrieving the unit indicator values ​​of all physiological data collected after the patient's last visit, and combining them with the currently received values ​​for calculation, the patient's physiological state changes can be comprehensively and dynamically evaluated. Using specific formulas and parameters for calculation, more accurate indicator parameters can be obtained, providing doctors with more accurate information on the patient's physiological state. The medical cloud platform can receive and process the unit indicator values ​​of physiological data in real time, thereby calculating the indicator parameters in real time, providing real-time feedback to doctors, and helping doctors to adjust treatment plans in a timely manner. The indicator parameters obtained through data analysis and calculation can provide strong support for doctors' decision-making, making decisions more scientific and objective.

[0146] At the same time, traditional methods usually evaluate the patient's physiological condition based only on a single or a small number of physiological data unit indicator values, which often cannot accurately reflect the patient's overall and dynamic changes. The above-mentioned technical solution of this embodiment realizes the dynamic analysis and evaluation of the patient's physiological condition by retrieving all the physiological data unit indicator values ​​collected after the patient's last visit, and combining them with the physiological data received in real time. In addition, in the process of continuously receiving physiological data, how to ensure the continuity and stability of the indicator parameters is a key issue. The above-mentioned technical solution of this embodiment uses the indicator parameters when the physiological data was received last time as a reference, combined with the unit indicator values ​​of the currently received physiological data, to calculate new indicator parameters, thereby ensuring the continuity and stability of the indicator parameters.

[0147] The above-mentioned technical scheme of this embodiment receives and processes the unit indicator values ​​of physiological data in real time. The above-mentioned technical scheme of this embodiment can timely reflect the changes in the patient's physiological condition and provide doctors with real-time diagnosis basis. By comprehensively considering all the unit indicator values ​​of physiological data of the patient since the last visit, the above-mentioned technical scheme of this embodiment can more comprehensively evaluate the patient's physiological condition and reduce the errors caused by single or small data evaluations. By calculating new indicator parameters using reference parameters and the currently received unit indicator values ​​of physiological data, the above-mentioned technical scheme of this embodiment ensures the continuity and stability of the indicator parameters, making the evaluation results more reliable and consistent. By obtaining continuous and stable indicator parameters, the above-mentioned technical scheme of this embodiment provides doctors with strong data support and decision-making basis, which helps to formulate more accurate and effective treatment plans.

[0148] To sum up, the above technical solution of this embodiment realizes a comprehensive, dynamic and accurate assessment of the patient's physiological state by retrieving historical data, calculating comprehensive parameters, using reference parameters and receiving new data in real time, providing doctors with real-time and accurate decision support.

[0149] In one embodiment of the present invention, judging whether it is necessary to send the patient's physiological data unit index value and its corresponding index parameter to the medical terminal according to the data retrieval instruction of the medical terminal includes:

[0150] S301, the medical cloud platform determines in real time whether it has received a data retrieval instruction about the patient sent by the medical terminal;

[0151] S302, when the medical cloud platform receives a data retrieval instruction about a patient from a medical terminal, it sends all the unit index values ​​of the physiological data collected after the last visit of the patient to the medical terminal;

[0152] S303, retrieve each indicator parameter corresponding to all the physiological data unit indicator values ​​collected after the last visit of the current patient, and send each indicator parameter to the medical terminal.

[0153] The working principle of the above technical solution is as follows: the medical cloud platform will continuously monitor whether it has received a data retrieval instruction from the medical terminal. This instruction is usually issued by a doctor or medical worker on the medical terminal to obtain the patient's physiological data unit indicator value and the corresponding indicator parameters. Once the medical cloud platform confirms that it has received the data retrieval instruction for a specific patient, it will immediately start processing the request. In response, the medical cloud platform will send all the physiological data unit indicator values ​​collected by the patient since the last visit to the medical terminal. The above physiological data unit indicator values ​​reflect the changes in the patient's physiological state over a period of time. In addition to sending the physiological data unit indicator values, the medical cloud platform will further retrieve each indicator parameter corresponding to the above values. The above indicator parameters are obtained by analyzing and calculating the physiological data, and can provide more in-depth and specific information on the patient's physiological state. After the retrieval is completed, the medical cloud platform will also send the above indicator parameters to the medical terminal.

[0154] The effect of the above technical solution is: by real-time judgment and response to the data retrieval instructions of the medical terminal, the medical cloud platform can realize real-time data interaction with the medical terminal, ensuring that doctors or medical workers can obtain the required patient physiological data and indicator parameters in a timely manner. Sending the unit indicator values ​​of all physiological data collected by the patient since the last visit can help doctors fully understand the changes in the patient's physiological state and better assess the condition. The indicator parameters are obtained by analyzing and calculating the physiological data. They can provide doctors with more in-depth and specific information on the patient's physiological state, thereby supporting doctors to make more accurate diagnosis and treatment decisions. Through automated data retrieval and sending functions, the medical cloud platform can reduce the time doctors or medical workers spend manually searching and organizing data, thereby improving work efficiency.

[0155] To sum up, the above-mentioned technical solution of this embodiment realizes the rapid sending of unit indicator values ​​and indicator parameters of patient physiological data by real-time response to data retrieval instructions of the medical terminal, provides doctors with comprehensive and accurate patient physiological status information, and improves the efficiency and quality of medical services.

[0156] In one embodiment of the present invention, the medical terminal obtains the comprehensive evaluation index parameters of the patient based on all the physiological data unit index values ​​and their corresponding index parameters collected after the last visit, including:

[0157] S401, the medical terminal obtains a weight coefficient of an indicator parameter corresponding to each physiological data unit indicator value according to all physiological data unit indicator values ​​collected after the patient's last visit;

[0158] S402: The medical terminal obtains comprehensive evaluation index parameters by using weight coefficients of index parameters corresponding to individual physiological data unit index values ​​in combination with index parameters corresponding to each physiological data unit index value collected after the patient's last visit.

[0159] The working principle of the above technical solution is: the medical terminal will first obtain the weight coefficient of the indicator parameter corresponding to each physiological data unit indicator value based on all the physiological data unit indicator values ​​collected by the patient after the last visit. The above weight coefficient reflects the importance of different indicator parameters in the comprehensive evaluation, which is usually based on medical knowledge, expert experience or data analysis. After obtaining the weight coefficient, the medical terminal will use the above weight coefficient in combination with the corresponding indicator parameter to calculate a comprehensive evaluation indicator parameter. This calculation process usually involves weighted summation of the indicator parameters or the use of other complex mathematical models. Through this process, the medical terminal can derive a comprehensive evaluation indicator parameter that can fully reflect the patient's physiological state.

[0160] The effect of the above technical solution is: by comprehensively considering the numerical values ​​of multiple physiological data unit indicators and their corresponding indicator parameters, and assigning different weight coefficients, a more comprehensive and integrated evaluation result can be obtained, which more accurately reflects the patient's physiological state. The setting of the weight coefficient can be adjusted according to the specific situation of the patient, so that the comprehensive evaluation result is more in line with the individual differences of the patient. The comprehensive evaluation indicator parameters can provide doctors with more intuitive and comprehensive information on the patient's physiological state, which helps doctors make more accurate and scientific diagnosis and treatment decisions. Through automated calculation and evaluation processes, medical terminals can reduce the workload of doctors in manually analyzing and processing data and improve work efficiency.

[0161] To sum up, the above technical solution of this embodiment realizes a comprehensive and integrated evaluation of the patient's physiological state by using weight coefficients and index parameters to calculate comprehensive evaluation index parameters, provides strong decision support for doctors, and improves the quality and efficiency of medical services.

[0162] In one embodiment of the present invention, the medical terminal obtains the weight coefficient of the indicator parameter corresponding to each physiological data unit indicator value according to all physiological data unit indicator values ​​collected after the patient's last visit, including:

[0163] S4011, the medical terminal retrieves all physiological data unit index values ​​collected after the patient's last visit;

[0164] S4012, the medical terminal retrieves the brain wave data information collected by the patient during the last visit; wherein the brain wave data information includes frequency information, amplitude information and phase information;

[0165] S4013, the medical terminal uses the time distance between the brain wave data information and each physiological data unit indicator value to obtain the indicator intensity coefficient corresponding to each physiological data unit indicator value; wherein the indicator intensity coefficient corresponding to each physiological data unit indicator value represents the importance of each physiological data unit indicator value in the data comprehensive evaluation process, and the indicator intensity coefficient corresponding to each physiological data unit indicator value is obtained by the following formula:

[0166]

[0167]

[0168] Among them, q represents the index intensity coefficient corresponding to the value of the i-th physiological data unit index; ISC i Indicates the time coefficient corresponding to the value of the i-th physiological data unit indicator; T n Indicates the timestamp of the generation of the report corresponding to the EEG data information; T i Indicates the timestamp of the physiological data unit indicator value; min(ISC) indicates the minimum value of the generated time coefficient; max(ISC) indicates the maximum value of the generated time coefficient; Z F Indicates the physiological data unit index value corresponding to the maximum value of the generated time coefficient; Z L Indicates the value of the physiological data unit index corresponding to the minimum value of the generated time coefficient;

[0169] S4014, using the physiological data unit indicator value and its corresponding indicator intensity coefficient to obtain the weight coefficient of the indicator parameter corresponding to the physiological data unit indicator value; wherein the weight coefficient is obtained by the following formula:

[0170]

[0171] Wherein, λ represents the weight coefficient of the index parameter corresponding to the i-th unit index value of the physiological data; λ c Represents the initial weight coefficient of the indicator parameter corresponding to the i-th unit indicator value of the physiological data.

[0172] The working principle of the above technical solution is: the medical terminal first retrieves all the unit indicator values ​​of the physiological data collected after the patient's last visit, and the above data reflects the changes in the patient's physiological state over a period of time.

[0173] Next, the medical terminal will retrieve the EEG data collected during the patient's last visit. EEG data contains frequency information, amplitude information, and phase information. The above information can reflect the electrophysiological activity of the brain and has important reference value for evaluating the patient's overall physiological state.

[0174] Subsequently, after obtaining the physiological data unit indicator value and brain wave data information, the medical terminal will calculate the indicator intensity coefficient corresponding to each physiological data unit indicator value. This coefficient is calculated based on the time distance between the physiological data unit indicator value and the brain wave data information. The closer the time distance, the greater the indicator intensity coefficient, indicating that the physiological data unit indicator value is more important in the comprehensive evaluation.

[0175] Finally, the medical terminal will use the physiological data unit indicator value and its corresponding indicator strength coefficient to calculate the weight coefficient of the indicator parameter corresponding to each physiological data unit indicator value. The initial weight coefficient is usually determined based on medical knowledge or expert experience, and then adjusted according to the indicator strength coefficient to reflect the relative importance of different physiological data unit indicator values ​​in the comprehensive evaluation.

[0176] The effect of the above technical solution is: by introducing brain wave data information and calculating the index intensity coefficient according to the time distance, the above technical solution of this embodiment can evaluate the patient's physiological state more individually, while taking into account the dynamic changes of the unit index value of the physiological data. As an important indicator reflecting the electrophysiological activity state of the brain, the introduction of brain wave data can improve the accuracy of the comprehensive evaluation and make the evaluation results closer to the patient's actual physiological state. By calculating the weight coefficient, the above technical solution of this embodiment can provide doctors with more scientific and objective decision-making support, help doctors better understand the patient's physiological state, and formulate more accurate treatment plans. The automated data retrieval and calculation process can reduce the workload of doctors in manually processing data, optimize the workflow, and improve work efficiency.

[0177] Different physiological data unit indicator values ​​have different importance for evaluating the health status of patients. How to accurately assign weights to each physiological data unit indicator value is the key to ensuring the accuracy of the evaluation results. The above-mentioned technical scheme of this embodiment introduces brain wave data information, combines the time distance between each physiological data unit indicator value and the brain wave data information, calculates the indicator intensity coefficient for each physiological data unit indicator value, and then determines its weight coefficient, thereby solving the weight allocation problem. At the same time, brain wave data information is an important indicator reflecting the functional state of the brain, while the physiological data unit indicator value reflects the functional state of each system of the body. How to effectively associate the two to more comprehensively evaluate the health status of the patient is a problem that the above-mentioned technical scheme of this embodiment needs to solve. By calculating the time distance between each physiological data unit indicator value and the brain wave data information, and determining the indicator intensity coefficient accordingly, the above-mentioned technical scheme of this embodiment achieves an effective association between the two.

[0178] At the same time, by assigning a suitable weight coefficient to each physiological data unit indicator value, the above-mentioned technical solution of this embodiment can more accurately reflect the importance of different physiological indicators of the patient in the evaluation process, thereby improving the accuracy of the evaluation. By introducing brain wave data information and combining the physiological data unit indicator values, the above-mentioned technical solution of this embodiment can more comprehensively evaluate the patient's overall health status and reduce the error caused by the evaluation of a single indicator. The indicator intensity coefficient calculation method based on time distance proposed in the above-mentioned technical solution of this embodiment can dynamically adjust the weight coefficients of different physiological data unit indicator values, so that the weight allocation is more reasonable and accurate. By providing more accurate and comprehensive evaluation results, the above-mentioned technical solution of this embodiment can provide strong support for doctors' clinical decision-making and help to formulate more accurate and effective treatment plans.

[0179] In summary, the above technical solution of this embodiment realizes personalized and dynamic evaluation of the patient's physiological state by introducing brain wave data information and calculating the index intensity coefficient and weight coefficient, providing doctors with more accurate and scientific decision support and optimizing the medical service process. At the same time, the above technical solution of this embodiment calculates a suitable weight coefficient for each physiological data unit index value by introducing brain wave data information and combining the time distance of the physiological data unit index value, thereby improving the accuracy and comprehensiveness of the evaluation and providing strong support for clinical decision-making.

[0180] In one embodiment of the present invention, the medical terminal uses the weight coefficient of the indicator parameter corresponding to each physiological data unit indicator value in combination with the indicator parameter corresponding to each physiological data unit indicator value collected after the patient's last visit to obtain the comprehensive evaluation indicator parameter, including:

[0181] S4021, retrieve the index parameter corresponding to each unit index value of the physiological data collected after the patient's last visit;

[0182] S4022. Obtain comprehensive evaluation index parameters using the index parameters and their corresponding weight coefficients corresponding to each unit index value of the physiological data collected after the patient's last visit, wherein the comprehensive evaluation index parameters are obtained by the following formula:

[0183]

[0184] Among them, Z zh represents the comprehensive evaluation index parameter; R represents the total number of values ​​of each physiological data unit index collected after the last visit; Z bi Indicates the value of the indicator parameter corresponding to the i-th physiological data unit indicator value.

[0185] The working principle of the above technical solution is: the medical terminal first retrieves the indicator parameters corresponding to each unit indicator value of physiological data collected after the patient's last visit. The above indicator parameters are obtained by further analysis and calculation of the unit indicator values ​​of physiological data, and can reflect the specific changes or characteristics of the patient's physiological state. After obtaining the indicator parameters and their corresponding weight coefficients, the medical terminal uses the above data to calculate the comprehensive evaluation indicator parameters. The calculation process is based on a specific formula, which multiplies the value of each indicator parameter by its corresponding weight coefficient, and adds all the products to obtain a comprehensive evaluation indicator parameter. This parameter is a comprehensive and comprehensive quantitative assessment of the patient's physiological state.

[0186] The effect of the above technical solution is: by comprehensively considering the indicator parameters corresponding to the numerical values ​​of multiple physiological data units and combining them with their weight coefficients for calculation, a comprehensive and accurate comprehensive evaluation indicator parameter can be obtained. This parameter can better reflect the patient's overall physiological state and help doctors make more accurate diagnosis and treatment decisions. Since the weight coefficient is calculated based on the patient's specific situation and brain wave data information, the comprehensive evaluation indicator parameter can also reflect the individual differences of the patient, realize personalized evaluation, and be objective and quantifiable. This enables doctors to understand the patient's physiological state more intuitively, and facilitates comparison and recording of changes in the patient's physiological state at different time points. Through automated data retrieval and calculation processes, medical terminals can reduce the workload of doctors in manually processing and analyzing data and improve work efficiency. Doctors can obtain patients' comprehensive evaluation indicator parameters more quickly, so as to make decisions faster.

[0187] To sum up, the above technical scheme of this embodiment realizes a comprehensive, accurate and personalized assessment of the patient's physiological state by retrieving indicator parameters and calculating comprehensive evaluation indicator parameters in combination with their weight coefficients, provides doctors with objective and quantifiable decision support, and improves the quality and efficiency of medical services.

[0188] The embodiment of the present invention provides a data processing system for mental health assessment. Figure 2 As shown, the data processing system applied to mental health assessment includes:

[0189] A real-time acquisition module is used to collect the patient's physiological data information in real time and generate the patient's corresponding physiological data unit indicator value according to the physiological data information;

[0190] The indicator parameter module is used to send the physiological data unit indicator value corresponding to each data collection unit period to the medical cloud platform, and obtain the patient's current indicator parameter through the medical cloud platform each time a physiological data unit indicator value is received;

[0191] An information sending module, used to determine whether it is necessary to send the patient's physiological data unit index value and its corresponding index parameter to the medical terminal according to the data retrieval instruction of the medical terminal;

[0192] The comprehensive index acquisition module is used for the medical terminal to obtain the patient's comprehensive evaluation index parameters based on all physiological data unit index values ​​and their corresponding index parameters collected after the last visit.

[0193] The working principle of the above technical solution is as follows: First, the system collects the patient's physiological data information in real time, such as heart rate, blood pressure, respiratory rate, etc. The above data is converted into specific physiological data unit indicator values, which can quantitatively reflect the patient's physiological state.

[0194] Subsequently, the physiological data unit indicator value corresponding to each data collection unit period (such as every minute, every hour, etc.) is sent to the medical cloud platform. When the medical cloud platform receives each value, it will further obtain the patient's current indicator parameters, which may include other health information or diagnostic data related to the physiological data.

[0195] Then, the medical cloud platform determines whether it is necessary to send the patient's physiological data unit index value and its corresponding index parameter to the medical terminal according to the data retrieval instruction of the medical terminal (such as the doctor's workstation, nurse station, etc.), ensuring the on-demand transmission of data and improving the efficiency and pertinence of data transmission.

[0196] Finally, after receiving the data, the medical terminal will conduct a comprehensive analysis based on the values ​​of all physiological data units and their corresponding parameters collected after the last visit to obtain the patient's comprehensive evaluation parameters. The accumulated physiological data is used to form a more comprehensive and in-depth health status assessment.

[0197] The effect of the above technical solution is: by collecting and transmitting physiological data in real time, the patient's physiological state can be continuously monitored, abnormal changes can be detected in time, and timely intervention and treatment are possible. Using the medical cloud platform for data processing and parameter acquisition can efficiently process a large amount of data and ensure the accuracy of the data, providing strong support for doctors' decision-making. By comprehensively analyzing the data collected multiple times, more comprehensive and in-depth evaluation results can be obtained, which helps doctors understand the patient's health status more accurately and formulate more appropriate treatment plans. Transmitting data on demand can reduce unnecessary communication burdens, optimize the allocation of medical resources, and improve the efficiency of medical services.

[0198] In summary, the above technical solution of this embodiment realizes a comprehensive, continuous and efficient assessment of the patient's health status by real-time collection, transmission and analysis of physiological data, and provides technical support for improving the quality of medical services and patient experience.

[0199] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if the above-mentioned modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include the above-mentioned modifications and variations.

Claims

1. A data processing method for mental health assessment, characterized in that: The data processing method applied to mental health assessment includes: Collect the patient's physiological data information in real time, and generate the patient's corresponding physiological data unit indicator value based on the physiological data information; Send the physiological data unit index value corresponding to each data collection unit period to the medical cloud platform, and obtain the patient's current index parameter through the medical cloud platform every time a physiological data unit index value is received; Determine whether it is necessary to send the patient's physiological data unit index value and its corresponding index parameter to the medical terminal according to the data retrieval instruction of the medical terminal; The medical terminal obtains the patient's comprehensive evaluation index parameters based on all physiological data unit index values ​​and their corresponding index parameters collected after the last visit; The real-time collection of the patient's physiological data information and the generation of the patient's corresponding physiological data unit index value according to the physiological data information include: Retrieving the data collection unit time period corresponding to the patient from the medical terminal, wherein the value range of the data collection unit time period is 1 day to 3 days; The target physiological data information of the patient is collected in real time in each data collection unit period through a data collection device worn by the patient; wherein the target physiological data information includes heart rate, blood pressure, respiratory rate and skin electrode response; Acquire the physiological data unit index value corresponding to each data collection unit period of the patient according to the target physiological data information of the patient collected in each data collection unit period; Wherein, obtaining the physiological data unit index value corresponding to each data collection unit period of the patient according to the target physiological data information of the patient collected in each data collection unit period includes: Extract the patient's heart rate and respiratory rate in each data acquisition unit period; wherein the monitoring period of the heart rate and respiratory rate is every 1 minute; The first index component is obtained by using the heart rate and respiratory rate of the patient in each data acquisition unit period; wherein the first index component is obtained by the following formula: Among them, Z 01 Represents the first index component; Z c01 and Z c02 Respectively represent the heart rate coefficient and respiratory rate coefficient; n represents the total number of monitoring cycles of heart rate and respiratory rate contained in each data acquisition unit period; C 01i and C 02i Respectively represent the heart rate value and respiratory rate value collected in the i-th monitoring cycle; Extracting the patient's blood pressure in each data collection unit period; wherein the blood pressure monitoring cycle is twice per day; The second index component is obtained by using the blood pressure of the patient in each data collection unit period; wherein the first index component is obtained by the following formula: Among them, Z 02 Represents the second index component; Z c03 and Z c04 Respectively represent the systolic pressure coefficient and the diastolic pressure coefficient; m represents the number of blood pressure collections; S 01i and S 02i They represent the systolic and diastolic blood pressure values ​​corresponding to the i-th blood pressure test respectively; C 01max Indicates the heart rate value corresponding to the maximum systolic blood pressure in the blood pressure test within the data collection unit period; C max Indicates the maximum heart rate within the data collection unit period; C 01p It indicates the average heart rate during the data collection unit period; Extracting the skin electrode response of the patient in each data acquisition unit period; wherein the monitoring period of the skin electrode response is every 1 minute; The third index component is obtained by using the skin electrode response of the patient in each data acquisition unit period; wherein the third index component is obtained by the following formula: Among them, Z 03 represents the third index component; k represents the number of acquisitions of skin electrical point response; G i represents the value corresponding to the i-th skin electrode response acquisition; G0 represents the preset skin electrode response threshold; C 01g Indicates the heart rate value corresponding to the maximum value of the skin electrical point response; C 02g Indicates the respiratory rate value corresponding to the maximum value of the skin electrical point response; C 02max Indicates the maximum respiratory rate within the data collection unit period; The first index component, the second index component and the third index component are used to obtain the physiological data unit index value corresponding to each data collection unit period, wherein the physiological data unit index value corresponding to each data collection unit period is obtained by the following formula: Among them, Z represents the value of the physiological data unit indicator; α 01 , α 02 and α 03 Respectively represent the weight values ​​corresponding to the first indicator component, the second indicator component and the third indicator component; The physiological data unit index value corresponding to each data collection unit period is sent to the medical cloud platform, and the current index parameter of the patient is obtained through the medical cloud platform each time a physiological data unit index value is received, including: The data collection device worn by the patient sends the physiological data unit indicator value corresponding to each data collection unit period to the medical cloud platform; When the medical cloud platform receives the physiological data unit indicator value sent by the data acquisition device, it uses all the physiological data unit indicator values ​​collected after the patient's last visit and the indicator parameter obtained when the medical cloud platform receives the patient's last physiological data unit indicator value to obtain the indicator parameter corresponding to each physiological data unit indicator value received by the medical platform. Among them, when the medical cloud platform receives the physiological data unit indicator value sent by the data acquisition device, it uses all the physiological data unit indicator values ​​collected after the patient's last visit and the indicator parameter obtained when the medical cloud platform receives the patient's last physiological data unit indicator value to obtain the indicator parameter corresponding to each physiological data unit indicator value received by the medical platform, including: When the medical cloud platform receives the physiological data unit index value sent by the data acquisition device, it retrieves all the physiological data unit index values ​​collected after the patient's last visit; The index comprehensive parameters are obtained by using the unit index values ​​of all physiological data collected after the patient's last visit; wherein the index comprehensive parameters are obtained by the following formula: Among them, Z h represents the comprehensive parameter of the index; r represents the number of all the unit index values ​​of physiological data collected since the last visit at the current moment; Z i Indicates the data value corresponding to the value of the i-th physiological data unit indicator; Retrieving the index parameter obtained by the medical cloud platform when receiving the last physiological data unit index value of the patient as a reference parameter; The comprehensive index parameter and the reference parameter are used to obtain the index parameter corresponding to each time the medical platform receives the current physiological data unit index value; wherein the index parameter is obtained by the following formula: Among them, Z b It indicates the indicator parameter corresponding to each physiological data unit indicator value received by the medical platform; Z x It indicates the indicator parameter corresponding to each time the medical platform receives the indicator value of the last physiological data unit; Z s Indicates the data value corresponding to each physiological data unit indicator value received by the medical platform; Z e Indicates the data value corresponding to the last physiological data unit indicator value received by the medical platform; The medical terminal obtains the patient's comprehensive evaluation index parameters based on all physiological data unit index values ​​and their corresponding index parameters collected after the last visit, including: The medical terminal obtains a weight coefficient of an indicator parameter corresponding to each physiological data unit indicator value according to all physiological data unit indicator values ​​collected after the patient's last visit; The medical terminal uses the weight coefficient of the indicator parameter corresponding to each physiological data unit indicator value in combination with the indicator parameter corresponding to each physiological data unit indicator value collected after the patient's last visit to obtain a comprehensive evaluation indicator parameter; The medical terminal uses the weight coefficient of the indicator parameter corresponding to each physiological data unit indicator value in combination with the indicator parameter corresponding to each physiological data unit indicator value collected after the patient's last visit to obtain the comprehensive evaluation indicator parameter, including: Retrieving the index parameter corresponding to each unit index value of the physiological data collected after the patient's last visit; The comprehensive evaluation index parameters are obtained by using the index parameters and their corresponding weight coefficients corresponding to each unit index value of the physiological data collected after the patient's last visit, wherein the comprehensive evaluation index parameters are obtained by the following formula: Among them, Z zh represents the comprehensive evaluation index parameter; i represents the weight coefficient of the index parameter corresponding to the ith physiological data unit index value, R represents the total number of each physiological data unit index value collected after the last visit; Z bi Indicates the value of the indicator parameter corresponding to the i-th physiological data unit indicator value.

2. The data processing method for mental health assessment according to claim 1, characterized in that: According to the data retrieval instruction of the medical terminal, it is determined whether the patient's physiological data unit index value and its corresponding index parameter need to be sent to the medical terminal, including: The medical cloud platform determines in real time whether it has received a data retrieval instruction about the patient sent by the medical terminal; When the medical cloud platform receives a data retrieval instruction about a patient from a medical terminal, it sends all the unit index values ​​of the physiological data collected after the last visit of the patient to the medical terminal; Retrieve each indicator parameter corresponding to all the physiological data unit indicator values ​​collected after the last visit corresponding to the current patient, and send each indicator parameter to the medical terminal.

3. The data processing method for mental health assessment according to claim 1, characterized in that: The medical terminal obtains the weight coefficient of the indicator parameter corresponding to each physiological data unit indicator value according to all physiological data unit indicator values ​​collected after the patient's last visit, including: The medical terminal retrieves all physiological data unit index values ​​collected by the patient after the patient's last visit; The medical terminal retrieves the brain wave data information collected by the patient during the last visit; wherein the brain wave data information includes frequency information, amplitude information and phase information; The medical terminal uses the time distance between the brain wave data information and each physiological data unit indicator value to obtain the indicator intensity coefficient corresponding to each physiological data unit indicator value; wherein the indicator intensity coefficient corresponding to each physiological data unit indicator value is obtained by the following formula: in, Indicates the index intensity coefficient corresponding to the value of the i-th physiological data unit index; ISC i Indicates the time coefficient corresponding to the value of the i-th physiological data unit indicator; T n Indicates the timestamp of the generation of the report corresponding to the EEG data information; T i Indicates the timestamp of the physiological data unit indicator value; min (ISC) indicates the minimum value of the generated time coefficient; max (ISC) indicates the maximum value of the generated time coefficient; Z F Indicates the physiological data unit index value corresponding to the maximum value of the generated time coefficient; Z L Indicates the value of the physiological data unit index corresponding to the minimum value of the generated time coefficient; The weight coefficient of the indicator parameter corresponding to the physiological data unit indicator value is obtained by using the physiological data unit indicator value and its corresponding indicator intensity coefficient; wherein the weight coefficient is obtained by the following formula: Among them, λ i represents the weight coefficient of the index parameter corresponding to the i-th unit index value of the physiological data; ci Represents the initial weight coefficient of the indicator parameter corresponding to the i-th unit indicator value of the physiological data.

4. A data processing system for mental health assessment, characterized in that: The data processing system for mental health assessment includes: A real-time acquisition module is used to collect the patient's physiological data information in real time and generate the patient's corresponding physiological data unit indicator value according to the physiological data information; The indicator parameter module is used to send the physiological data unit indicator value corresponding to each data collection unit period to the medical cloud platform, and obtain the patient's current indicator parameter through the medical cloud platform each time a physiological data unit indicator value is received; An information sending module, used to determine whether it is necessary to send the patient's physiological data unit index value and its corresponding index parameter to the medical terminal according to the data retrieval instruction of the medical terminal; A comprehensive index acquisition module, used for the medical terminal to obtain the patient's comprehensive evaluation index parameters based on all physiological data unit index values ​​and their corresponding index parameters collected after the last visit; The real-time collection of the patient's physiological data information and the generation of the patient's corresponding physiological data unit index value according to the physiological data information include: Retrieving the data collection unit time period corresponding to the patient from the medical terminal, wherein the value range of the data collection unit time period is 1 day to 3 days; The target physiological data information of the patient is collected in real time in each data collection unit period through a data collection device worn by the patient; wherein the target physiological data information includes heart rate, blood pressure, respiratory rate and skin electrode response; Acquire the physiological data unit index value corresponding to each data collection unit period of the patient according to the target physiological data information of the patient collected in each data collection unit period; Wherein, obtaining the physiological data unit index value corresponding to each data collection unit period of the patient according to the target physiological data information of the patient collected in each data collection unit period includes: Extract the patient's heart rate and respiratory rate in each data acquisition unit period; wherein the monitoring period of the heart rate and respiratory rate is every 1 minute; The first index component is obtained by using the heart rate and respiratory rate of the patient in each data acquisition unit period; wherein the first index component is obtained by the following formula: Among them, Z 01 Represents the first index component; Z c01 and Z c02 Respectively represent the heart rate coefficient and respiratory rate coefficient; n represents the total number of monitoring cycles of heart rate and respiratory rate contained in each data acquisition unit period; C 01i and C 02i Respectively represent the heart rate value and respiratory rate value collected in the i-th monitoring cycle; Extracting the patient's blood pressure in each data collection unit period; wherein the blood pressure monitoring cycle is twice per day; The second index component is obtained by using the blood pressure of the patient in each data collection unit period; wherein the first index component is obtained by the following formula: Among them, Z 02 Represents the second index component; Z c03 and Z c04 Respectively represent the systolic pressure coefficient and the diastolic pressure coefficient; m represents the number of blood pressure collections; S 01i and S 02i They represent the systolic and diastolic blood pressure values ​​corresponding to the i-th blood pressure test respectively; C 01max Indicates the heart rate value corresponding to the maximum systolic blood pressure in the blood pressure test within the data collection unit period; C max Indicates the maximum heart rate within the data collection unit period; C 01p It indicates the average heart rate during the data collection unit period; Extracting the skin electrode response of the patient in each data acquisition unit period; wherein the monitoring period of the skin electrode response is every 1 minute; The third index component is obtained by using the skin electrode response of the patient in each data acquisition unit period; wherein the third index component is obtained by the following formula: Among them, Z 03 represents the third index component; k represents the number of acquisitions of skin electrical point response; G i represents the value corresponding to the i-th skin electrode response acquisition; G0 represents the preset skin electrode response threshold; C 01g Indicates the heart rate value corresponding to the maximum value of the skin electrical point response; C 02g Indicates the respiratory rate value corresponding to the maximum value of the skin electrical point response; C 02max Indicates the maximum respiratory rate within the data collection unit period; The first index component, the second index component and the third index component are used to obtain the physiological data unit index value corresponding to each data collection unit period, wherein the physiological data unit index value corresponding to each data collection unit period is obtained by the following formula: Among them, Z represents the value of the physiological data unit indicator; α 01 , α 02 and α 03 Respectively represent the weight values ​​corresponding to the first indicator component, the second indicator component and the third indicator component; The physiological data unit index value corresponding to each data collection unit period is sent to the medical cloud platform, and the current index parameter of the patient is obtained through the medical cloud platform each time a physiological data unit index value is received, including: The data collection device worn by the patient sends the physiological data unit indicator value corresponding to each data collection unit period to the medical cloud platform; When the medical cloud platform receives the physiological data unit indicator value sent by the data acquisition device, it uses all the physiological data unit indicator values ​​collected after the patient's last visit and the indicator parameter obtained when the medical cloud platform receives the patient's last physiological data unit indicator value to obtain the indicator parameter corresponding to each physiological data unit indicator value received by the medical platform. Among them, when the medical cloud platform receives the physiological data unit indicator value sent by the data acquisition device, it uses all the physiological data unit indicator values ​​collected after the patient's last visit and the indicator parameter obtained when the medical cloud platform receives the patient's last physiological data unit indicator value to obtain the indicator parameter corresponding to each physiological data unit indicator value received by the medical platform, including: When the medical cloud platform receives the physiological data unit index value sent by the data acquisition device, it retrieves all the physiological data unit index values ​​collected after the patient's last visit; The index comprehensive parameters are obtained by using the unit index values ​​of all physiological data collected after the patient's last visit; wherein the index comprehensive parameters are obtained by the following formula: Among them, Z h represents the comprehensive parameter of the index; r represents the number of all the unit index values ​​of physiological data collected since the last visit at the current moment; Z i Indicates the data value corresponding to the value of the i-th physiological data unit indicator; Retrieving the index parameter obtained by the medical cloud platform when receiving the last physiological data unit index value of the patient as a reference parameter; The comprehensive index parameter and the reference parameter are used to obtain the index parameter corresponding to each time the medical platform receives the current physiological data unit index value; wherein the index parameter is obtained by the following formula: Among them, Z b It indicates the indicator parameter corresponding to each physiological data unit indicator value received by the medical platform; Z x It indicates the indicator parameter corresponding to each time the medical platform receives the indicator value of the last physiological data unit; Z s Indicates the data value corresponding to each physiological data unit indicator value received by the medical platform; Z e Indicates the data value corresponding to the last physiological data unit indicator value received by the medical platform; The medical terminal obtains the patient's comprehensive evaluation index parameters based on all physiological data unit index values ​​and their corresponding index parameters collected after the last visit, including: The medical terminal obtains a weight coefficient of an indicator parameter corresponding to each physiological data unit indicator value according to all physiological data unit indicator values ​​collected after the patient's last visit; The medical terminal uses the weight coefficient of the indicator parameter corresponding to each physiological data unit indicator value in combination with the indicator parameter corresponding to each physiological data unit indicator value collected after the patient's last visit to obtain a comprehensive evaluation indicator parameter; The medical terminal uses the weight coefficient of the indicator parameter corresponding to each physiological data unit indicator value in combination with the indicator parameter corresponding to each physiological data unit indicator value collected after the patient's last visit to obtain the comprehensive evaluation indicator parameter, including: Retrieving the index parameter corresponding to each unit index value of the physiological data collected after the patient's last visit; The comprehensive evaluation index parameters are obtained by using the index parameters and their corresponding weight coefficients corresponding to each unit index value of the physiological data collected after the patient's last visit, wherein the comprehensive evaluation index parameters are obtained by the following formula: Among them, Z zh represents the comprehensive evaluation index parameter; i represents the weight coefficient of the index parameter corresponding to the ith physiological data unit index value, R represents the total number of each physiological data unit index value collected after the last visit; Z bi Indicates the value of the indicator parameter corresponding to the i-th physiological data unit indicator value.

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