Online chest wound patient monitoring system and method

Abstract

The invention belongs to the technical field of chest wound online monitoring, and particularly relates to an online chest wound patient monitoring system and method. By monitoring the chest pressure change and the bioelectrical impedance change of the patient in real time, the physiological state of the chest wound patient is accurately monitored and evaluated, the fine physiological change can be captured by using the flexible sensing array and is quantified into deviation information of the corresponding chest pressure change parameter and the bioelectrical impedance change parameter, and the accuracy of the physiological state of the chest wound patient is improved. Compared with the prior art, a more intuitive diagnosis basis is provided for doctors, meanwhile, abnormal changes of the physiological state of the patient can be found in time through setting of a dynamic threshold interval and output of deviation information, and in the process of monitoring the physiological state of the patient, a personalized reference physiological range is further set, so that the accuracy of monitoring the physiological state of the patient is improved. In addition, the monitoring frequency can be automatically adjusted according to the recovery condition of the patient through the self-adaptive adjusting function, and reasonable utilization of monitoring resources is guaranteed.

Description

Technical Field

[0001] The present invention belongs to the technical field of online chest trauma monitoring, and in particular relates to an online chest trauma patient monitoring system and method. Background Art

[0002] With the continuous development of information technology, the monitoring and evaluation of chest trauma has gradually shifted from traditional manual testing to intelligent, automated online monitoring. Compared with manual testing, online monitoring has higher accuracy and real-time performance. Traditional manual testing methods rely on the experience and judgment of medical staff and are easily affected by human factors, resulting in inaccurate monitoring results, which in turn affects the patient's treatment effect and recovery process. The online chest trauma patient monitoring system can accurately assess the patient's recovery status by monitoring the patient's physiological data in real time, providing a reliable reference for medical staff.

[0003] Most of the existing online chest trauma monitoring systems can only simply collect and record the patient's physiological data, lack intelligent analysis and evaluation functions, and cannot accurately judge the patient's recovery ability and trend, thus affecting the practicality of monitoring. In addition, the collected physiological data are often used to determine the patient's recovery status based on fixed evaluation standards, which will undoubtedly ignore the differences between individuals. For example, some groups have stronger recovery abilities, while others have weaker recovery abilities. If a unified evaluation standard is used, it may lead to misjudgment of the patient's recovery status. Based on this, the present invention proposes an online chest trauma patient monitoring method to solve the above problems. Summary of the Invention

[0004] The purpose of the present invention is to provide an online chest trauma patient monitoring system and method, which can monitor the patient's physiological data in real time and perform intelligent analysis and evaluation based on individual differences, so as to accurately judge the patient's recovery ability and trend.

[0005] The technical solutions adopted by the present invention are as follows: An online chest trauma patient monitoring method, comprising: By deploying a flexible sensor array, chest pressure distribution data and bioelectrical impedance data are collected and summarized into physiological monitoring data packets; Perform real-time analysis on the chest pressure distribution data and bioelectrical impedance data in the physiological monitoring data package, and output chest pressure change parameters and bioelectrical impedance change parameters; The chest pressure change parameter and the bioelectrical impedance change parameter are fused to generate a comprehensive monitoring index, and the comprehensive monitoring index is compared with a pre-established reference physiological range, and the deviation information of the chest pressure change parameter and the bioelectrical impedance change parameter is output; Evaluate the patient's recovery ability based on deviation information, and integrate the recovery ability with real-time monitoring indicators to obtain quantitative assessment results of the trauma recovery stage and record them as monitoring characteristic parameters; The monitoring frequency of the matching flexible sensor array is adaptively adjusted according to the monitoring characteristic parameters, and the monitoring period of the patient is determined according to the adaptive adjustment result.

[0006] In a preferred embodiment, the flexible sensing array includes multi-channel piezoresistive sensors and bioelectrical impedance measurement electrodes arranged in a matrix. The multi-channel piezoresistive sensors are used to monitor pressure changes in various parts of the chest cavity, and the bioelectrical impedance measurement electrodes are used to measure the bioelectrical impedance value inside the chest cavity.

[0007] In a preferred embodiment, after the thoracic pressure distribution data and the bioelectrical impedance data are collected, a data preprocessing step is performed, including: Perform noise filtering on chest pressure distribution data and bioelectrical impedance data to eliminate interference signals during the acquisition process; The noise-filtered thoracic pressure distribution data and bioelectrical impedance data are normalized so that they are at the same level. Timestamps are added to the thoracic pressure distribution data and bioelectrical impedance data at the same magnitude to determine the temporal characteristics of the thoracic pressure distribution data and the bioelectrical impedance data.

[0008] In a preferred embodiment, the step of performing real-time analysis on the chest pressure distribution data and the bioelectrical impedance data in the physiological monitoring data packet and outputting the chest pressure change parameter and the bioelectrical impedance change parameter includes: Acquire chest pressure distribution data, calculate the pressure distribution differences of each chest region based on the preset initial time window length, and adaptively adjust the time window length based on the pressure distribution differences in adjacent time windows; Acquire bioelectrical impedance data, apply multi-frequency excitation signals to chest tissue, and collect corresponding impedance response data; Perform time-frequency analysis on the impedance response data, extract the impedance phase angle at the characteristic frequency point, and calculate the phase angle change rate within adjacent monitoring cycles. The pressure distribution difference and phase angle change rate were recorded as the thoracic pressure change parameter and bioelectrical impedance change parameter, respectively.

[0009] In a preferred embodiment, the step of fusing the chest pressure change parameter and the bioelectrical impedance change parameter to generate a comprehensive monitoring indicator includes: Obtaining chest cavity pressure change parameters and bioelectrical impedance change parameters, and respectively calculating real-time weight parameters of the chest cavity pressure change parameters and the bioelectrical impedance change parameters; Normalizing the chest pressure change parameters and bioelectrical impedance change parameters; The normalized chest pressure change parameters and bioelectrical impedance change parameters are weightedly fused according to the real-time weight parameters, and the weighted fusion results are recorded as comprehensive monitoring indicators.

[0010] In a preferred embodiment, the step of comparing the comprehensive monitoring index with a pre-established reference physiological range and outputting deviation information of the chest pressure change parameter and the bioelectrical impedance change parameter includes: Classify and map comprehensive monitoring indicators according to trauma type, and establish dynamic threshold intervals corresponding to pneumothorax, hemothorax, and rib fractures; Compare the cumulative change rate of the comprehensive monitoring indicators in the time series year on year and record it as the benchmark characteristic parameter; comparing baseline characteristic parameters to reference physiological ranges; When the baseline characteristic parameters exceed the reference physiological range, the positive deviation degree of the chest pressure change parameters and the bioelectrical impedance change parameters relative to the dynamic threshold interval is output, and the deviation type is marked as too high. The positive deviation degree and the corresponding monitoring time point are recorded as deviation information; When the baseline characteristic parameters fall within the reference physiological range, it indicates that the patient's trauma recovery status is stable, and the changing trend of the comprehensive monitoring indicators is continuously monitored; When the baseline characteristic parameter is lower than the reference physiological range, the negative deviation degree of the chest pressure change parameter and the bioelectrical impedance change parameter relative to the dynamic threshold interval is output, and the deviation type is marked as too low. The negative deviation degree and the corresponding monitoring time point are recorded as deviation information; The construction of the reference physiological range includes the following steps: Collecting deviation information from the patient's historical records, and extracting the proportions of positive deviation and negative deviation respectively, and recording the proportion of positive deviation as a first characteristic parameter, and recording the proportion of negative deviation as a second characteristic parameter; A physiological characteristic profile of the individual patient is constructed based on the first characteristic parameter and the second characteristic parameter, and the physiological characteristic profile is compared and analyzed with a normal physiological profile to output a reference physiological range that matches the individual patient.

[0011] In a preferred embodiment, the step of evaluating the patient's recovery ability based on the deviation information and integrating the recovery ability with the real-time monitoring index includes: When the deviation information corresponds to a positive deviation degree, it indicates that the patient's recovery ability is higher than the standard recovery level. The chest pressure change parameters and bioelectrical impedance change parameters in the real-time monitoring indicators are correlated with the positive deviation degree to calculate the recovery acceleration factor; The recovery acceleration factor is integrated with the real-time monitoring index to form an accelerated recovery evaluation index, which is recorded as a monitoring characteristic parameter; When the deviation information corresponds to a negative deviation degree, it indicates that the patient's recovery ability is lower than the standard recovery level. The chest pressure change parameters and bioelectrical impedance change parameters in the real-time monitoring indicators are correlated with the negative deviation degree to calculate the recovery delay factor. The recovery delay factor is integrated with the real-time monitoring index to form a delayed recovery evaluation index, which is recorded as a monitoring characteristic parameter.

[0012] In a preferred embodiment, the step of adaptively adjusting the monitoring frequency of the matching flexible sensing array according to the monitoring characteristic parameters and determining the patient's monitoring period according to the adaptive adjustment result includes: When the monitoring characteristic parameter is an accelerated recovery evaluation index, the accelerated change gradient of the accelerated recovery evaluation index is calculated; When the change gradient of the accelerated recovery assessment index does not fall within the standard change range, it indicates that the patient's recovery speed is abnormal, and the sampling frequency of the flexible sensor array is adjusted according to the gradient increment ratio. Otherwise, the current sampling frequency is maintained and monitoring continues; When the monitoring characteristic parameter is a delayed recovery assessment index, the delayed change gradient of the delayed recovery assessment index is calculated; When the change gradient of the delayed recovery assessment index does not fall within the standard change range, it indicates that the patient's recovery speed is abnormal, and the sampling frequency of the flexible sensor array is adjusted according to the gradient reduction ratio. Otherwise, the current sampling frequency is maintained for continued monitoring.

[0013] The present invention further provides an online chest trauma patient monitoring system, using the above-mentioned online chest trauma patient monitoring method, comprising: A parameter acquisition module, which is used to collect chest pressure distribution data and bioelectrical impedance data by deploying a flexible sensor array and summarize them into a physiological monitoring data packet; A parameter analysis module, which is used to perform real-time analysis on the chest pressure distribution data and bioelectrical impedance data in the physiological monitoring data packet, and output chest pressure change parameters and bioelectrical impedance change parameters; a parameter fusion module, which is used to fuse the chest pressure change parameter and the bioelectrical impedance change parameter to generate a comprehensive monitoring index, compare the comprehensive monitoring index with a pre-established reference physiological range, and output deviation information between the chest pressure change parameter and the bioelectrical impedance change parameter; A quantitative assessment module is used to assess the patient's recovery ability based on the deviation information, and integrate the recovery ability with the real-time monitoring indicators to obtain a quantitative assessment result of the trauma recovery stage and record it as a monitoring characteristic parameter; The adaptive adjustment module is used to adaptively adjust the monitoring frequency of the matching flexible sensor array according to the monitoring characteristic parameters, and determine the patient's monitoring period according to the adaptive adjustment result.

[0014] An electronic device, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can perform the above-mentioned online chest trauma patient monitoring method.

[0015] The technical effects achieved by the present invention are: The present invention realizes accurate monitoring and evaluation of the physiological state of patients with chest trauma by real-time monitoring of the patient's chest pressure changes and bioelectrical impedance changes. By using a flexible sensor array, it can capture subtle physiological changes and quantify them into deviation information of corresponding chest pressure change parameters and bioelectrical impedance change parameters, providing doctors with a more intuitive diagnostic basis. At the same time, through the setting of dynamic threshold intervals and the output of deviation information, abnormal changes in the patient's physiological state can be discovered in time, providing strong support for timely intervention and treatment. In the process of monitoring the patient's physiological state, a personalized reference physiological range is also set, so that the monitoring results are more in line with the actual situation of the individual patient, thereby improving the accuracy and reliability of monitoring. In addition, the adaptive adjustment function can automatically adjust the monitoring frequency according to the patient's recovery condition, which not only ensures the continuity of monitoring but also avoids unnecessary waste of resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic flow chart of the method of the present invention; Figure 2 It is a schematic diagram of the system modules of the present invention; Figure 3 It is a schematic structural diagram of an electronic device of the present invention. DETAILED DESCRIPTION

[0017] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0018] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0019] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in a preferred embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it constitute a separate or selective embodiment that is mutually exclusive of other embodiments.

[0020] See also Figure 1 As shown, the present invention provides an online chest trauma patient monitoring method, comprising: S1. Deploy a flexible sensor array to collect chest pressure distribution data and bioelectrical impedance data, and summarize them into physiological monitoring data packets; In step S1, when monitoring the physiological parameters of patients with chest trauma, it is first necessary to deploy a corresponding flexible sensor array to collect the patient's chest pressure distribution data, and at the same time collect relevant data on bioelectrical impedance. The chest pressure distribution data and bioelectrical impedance data are then aggregated and processed to form a comprehensive physiological monitoring data packet, wherein the flexible sensor array includes multi-channel piezoresistive sensors and bioelectrical impedance measurement electrodes arranged in a matrix, thereby achieving all-round monitoring of the patient's chest. Here, the multi-channel piezoresistive sensors are used to monitor pressure changes in various parts of the chest cavity, and the bioelectrical impedance measurement electrodes are used to measure the bioelectrical impedance value inside the chest cavity.

[0021] Secondly, after the chest pressure distribution data and bioelectrical impedance data are collected, the data preprocessing steps are performed, including: Perform noise filtering on chest pressure distribution data and bioelectrical impedance data to eliminate interference signals during the acquisition process; The noise-filtered thoracic pressure distribution data and bioelectrical impedance data are normalized so that they are at the same level. Adding timestamps to the chest cavity pressure distribution data and bioelectrical impedance data at the same magnitude to determine the time series characteristics of the chest cavity pressure distribution data and the bioelectrical impedance data; After completing the collection of thoracic pressure distribution data and bioelectrical impedance data, the collected thoracic pressure distribution data and bioelectrical impedance data are first subjected to noise filtering to eliminate various interference signals that may be introduced during the data collection process and ensure the purity and reliability of the monitored physiological data. In addition, based on the completion of noise filtering, the filtered thoracic pressure distribution data and bioelectrical impedance data are normalized. The purpose of normalization is to adjust data of different magnitudes to the same magnitude so that they can be effectively compared and integrated in the subsequent analysis process. Through normalization, the dimensional difference between the thoracic pressure distribution data and the bioelectrical impedance data can be eliminated, making the thoracic pressure distribution data and the bioelectrical impedance data numerically comparable. Finally, after normalization, timestamp information is added to the thoracic pressure distribution data and the bioelectrical impedance data. The addition of timestamps is to determine the temporal characteristics of each data piece to ensure that the temporal series relationship of the data can be accurately grasped in subsequent analysis. Through the annotation of timestamps, the specific collection time of each data piece can be understood, so that the data can be located and analyzed in the time dimension, further improving the accuracy of the data analysis results.

[0022] S2. Analyze the chest pressure distribution data and bioelectrical impedance data in the physiological monitoring data packet in real time, and output chest pressure change parameters and bioelectrical impedance change parameters; In step S2, after the physiological data of the patient's chest cavity is collected, the chest cavity pressure distribution data and bioelectrical impedance data in the physiological monitoring data packet are analyzed in real time, thereby outputting parameters reflecting the changes in the patient's chest cavity pressure and bioelectrical impedance changes. By outputting the chest cavity pressure change parameters and bioelectrical impedance change parameters, dynamic data on the patient's recovery status can be provided to the doctor, so that the doctor can understand the patient's physiological state in a timely manner, and also provide data support for subsequent recovery assessment of the patient. The step of performing real-time analysis on the chest cavity pressure distribution data and bioelectrical impedance data in the physiological monitoring data packet and outputting the chest cavity pressure change parameters and bioelectrical impedance change parameters includes: Acquire chest pressure distribution data, calculate the pressure distribution differences of each chest region based on the preset initial time window length, and adaptively adjust the time window length based on the pressure distribution differences in adjacent time windows; Acquire bioelectrical impedance data, apply multi-frequency excitation signals to chest tissue, and collect corresponding impedance response data; Perform time-frequency analysis on the impedance response data, extract the impedance phase angle at the characteristic frequency point, and calculate the phase angle change rate within adjacent monitoring cycles. The pressure distribution difference and phase angle change rate were recorded as chest pressure change parameters and bioelectrical impedance change parameters respectively; Specifically, when performing real-time analysis of the chest pressure distribution data and bioelectrical impedance data in the physiological monitoring data package, it is first necessary to obtain the chest pressure distribution data and, based on a preset initial time window length, perform segmented calculations on the pressure distribution data of each chest region to determine the pressure distribution differences of each chest region in different time periods. The calculation formula for the pressure distribution difference is: ; Where, Represents a time window The pressure distribution difference, represents the total number of chest area divisions, Indicates the number of sampling points in the current time window, Represents the chest area In the time window No. The pressure value of each sampling point, Represents the chest area In the time window Average pressure; During this process, the time window length is adaptively adjusted based on the difference in pressure distribution within adjacent time windows to ensure data accuracy and real-time analysis. The time window adjustment amount is determined according to the following formula: ; Where, Indicates the time window adjustment amount, Indicates the preset adjustment coefficient (0< <1) is a symbolic function, Returns 1 when increasing and -1 when decreasing; In addition, it is necessary to obtain bioelectrical impedance data and apply multi-frequency excitation signals to the chest tissue to collect the corresponding impedance response data. The purpose is to fully obtain the impedance characteristics of the chest tissue through excitation signals of different frequencies. Then, the collected impedance response data is subjected to time-frequency analysis to extract the impedance phase angle of the characteristic frequency point. On this basis, the rate of change of the phase angle within adjacent monitoring cycles is calculated. The calculation formula is: ; Where, Indicates the The rate of change of phase angle at a frequency, Indicates the The monitoring cycle is The phase angle at the frequency, Indicates the monitoring cycle time interval; The calculation of the phase angle change rate can accurately reflect the dynamic changes of bioelectrical impedance. Finally, the calculated pressure distribution difference and phase angle change rate are recorded as chest pressure change parameters and bioelectrical impedance change parameters, respectively, for subsequent analysis and application.

[0023] S3. Fusing the chest pressure change parameter and the bioelectrical impedance change parameter to generate a comprehensive monitoring index, comparing the comprehensive monitoring index with a pre-established reference physiological range, and outputting deviation information between the chest pressure change parameter and the bioelectrical impedance change parameter; In step S3, to obtain more accurate monitoring results, the chest pressure change parameter and the bioelectrical impedance change parameter are fused to generate a corresponding comprehensive monitoring index. The comprehensive monitoring index is then compared with a pre-established reference physiological range to promptly detect any abnormalities and output deviation information between the chest pressure change parameter and the bioelectrical impedance change parameter. The step of fusing the chest pressure change parameter and the bioelectrical impedance change parameter to generate the comprehensive monitoring index includes: Obtaining chest cavity pressure change parameters and bioelectrical impedance change parameters, and respectively calculating real-time weight parameters of the chest cavity pressure change parameters and the bioelectrical impedance change parameters; Normalizing the chest pressure change parameters and bioelectrical impedance change parameters; The normalized chest pressure change parameters and bioelectrical impedance change parameters are weighted and fused according to the real-time weight parameters, and the weighted fusion results are recorded as comprehensive monitoring indicators; Specifically, when fusing the chest pressure change parameters and the bioelectrical impedance change parameters, it is first necessary to obtain the chest pressure change parameters and the bioelectrical impedance change parameters, and calculate the real-time weight parameters of the chest pressure change parameters and the bioelectrical impedance change parameters respectively. The calculation formula of the real-time weight parameters is: , where The real-time weight parameter representing the chest pressure change parameter, represents the chest pressure change parameter, Represents the bioelectrical impedance change parameter, =1- , The real-time weight parameter representing the bioelectrical impedance change parameter is then normalized for the acquired chest pressure change parameter and bioelectrical impedance change parameter. The purpose of normalization is to eliminate the influence of the differences in parameter dimensions and numerical ranges on the fusion results, so that various parameters can be compared and fused on the same scale. Finally, the normalized chest pressure change parameter and bioelectrical impedance change parameter are weightedly fused according to the real-time weight parameter calculated previously, and the weighted fusion result is recorded as a comprehensive monitoring indicator to reflect the recovery status of the monitored object.

[0024] Secondly, the steps of comparing the comprehensive monitoring indicators with the pre-established reference physiological range and outputting deviation information of the chest pressure change parameter and the bioelectrical impedance change parameter include: Classify and map comprehensive monitoring indicators according to trauma type, and establish dynamic threshold intervals corresponding to pneumothorax, hemothorax, and rib fractures; Compare the cumulative change rate of the comprehensive monitoring indicators in the time series year on year and record it as the benchmark characteristic parameter; comparing baseline characteristic parameters to reference physiological ranges; When the baseline characteristic parameters exceed the reference physiological range, the positive deviation degree of the chest pressure change parameters and the bioelectrical impedance change parameters relative to the dynamic threshold interval is output, and the deviation type is marked as too high. The positive deviation degree and the corresponding monitoring time point are recorded as deviation information; When the baseline characteristic parameters fall within the reference physiological range, it indicates that the patient's trauma recovery status is stable, and the changing trend of the comprehensive monitoring indicators is continuously monitored; When the baseline characteristic parameter is lower than the reference physiological range, the negative deviation degree of the chest pressure change parameter and the bioelectrical impedance change parameter relative to the dynamic threshold interval is output, and the deviation type is marked as too low. The negative deviation degree and the corresponding monitoring time point are recorded as deviation information; The construction of the reference physiological range includes the following steps: Collecting deviation information from the patient's historical records, and extracting the proportions of positive deviation and negative deviation respectively, and recording the proportion of positive deviation as a first characteristic parameter, and recording the proportion of negative deviation as a second characteristic parameter; Constructing a physiological characteristic profile of the individual patient based on the first characteristic parameter and the second characteristic parameter, comparing and analyzing the physiological characteristic profile with a normal physiological profile, and outputting a reference physiological range that matches the individual patient; Specifically, when comparing the comprehensive monitoring indicators with the pre-constructed reference physiological range, it is first necessary to classify and map the comprehensive monitoring indicators according to different trauma types, establish dynamic threshold intervals corresponding to specific trauma types such as pneumothorax, hemothorax, and rib fractures, and ensure that each trauma type has its own specific monitoring range. Then, the cumulative change rate of the comprehensive monitoring indicators in the time series is compared year-on-year, and this cumulative change rate is recorded as the baseline characteristic parameter. The baseline characteristic parameter is then compared with the pre-constructed reference physiological range to determine whether the patient's physiological state is within the normal range. When the baseline characteristic parameter exceeds the reference physiological range, the chest pressure change parameter is output and the physiological range is compared. The degree of positive deviation of the bioelectrical impedance change parameter from the dynamic threshold interval is output, and this deviation type is marked as too high. At the same time, the positive deviation degree and the corresponding monitoring time point are recorded as deviation information. When the baseline characteristic parameter falls within the reference physiological range, it indicates that the patient's trauma recovery state is relatively stable. At this time, it is necessary to continuously monitor the change trend of the comprehensive monitoring indicators to ensure that any abnormalities are discovered in time. When the baseline characteristic parameter is lower than the reference physiological range, the degree of negative deviation of the chest pressure change parameter and the bioelectrical impedance change parameter from the dynamic threshold interval is output, and this deviation type is marked as too low. At the same time, the negative deviation degree and the corresponding monitoring time point are recorded in detail as deviation information; It should be noted that in the process of constructing a reference physiological range, it is first necessary to collect deviation information from the patient's historical records, and extract the proportion of positive deviation and negative deviation respectively, and record the proportion of positive deviation in detail as the first characteristic parameter, and the proportion of negative deviation in detail as the second characteristic parameter. Then, based on the first characteristic parameter and the second characteristic parameter, the individual physiological characteristic profile of the patient is constructed. The physiological characteristic profile can reflect the patient's physiological characteristics in a personalized way. For example, in the same treatment environment, the patient's historical recovery record continues to maintain a negative deviation, but is still recovering slowly, which means that the patient's recovery ability is weak. At this time, using normal evaluation standards to evaluate may misjudge the patient's recovery status. However, through the physiological characteristic profile, it can be closer to the patient's actual recovery ability, thereby giving a more accurate reference physiological range.

[0025] S4. Assess the patient's recovery ability based on the deviation information, and integrate the recovery ability with the real-time monitoring indicators to obtain a quantitative assessment result of the trauma recovery stage, which is recorded as a monitoring characteristic parameter; In step S4, after the deviation information is output, the assessment results are integrated with the real-time monitored indicators to obtain the assessment results of the trauma recovery stage and record them as monitoring characteristic parameters. The steps of assessing the patient's recovery ability based on the deviation information and integrating the recovery ability with the real-time monitoring indicators include: When the deviation information corresponds to a positive deviation degree, it indicates that the patient's recovery ability is higher than the standard recovery level. The chest pressure change parameters and bioelectrical impedance change parameters in the real-time monitoring indicators are correlated with the positive deviation degree to calculate the recovery acceleration factor; The recovery acceleration factor is integrated with the real-time monitoring index to form an accelerated recovery evaluation index, which is recorded as a monitoring characteristic parameter; When the deviation information corresponds to a negative deviation degree, it indicates that the patient's recovery ability is lower than the standard recovery level. The chest pressure change parameters and bioelectrical impedance change parameters in the real-time monitoring indicators are correlated with the negative deviation degree to calculate the recovery delay factor. The recovery delay factor is integrated with the real-time monitoring index to form a delayed recovery assessment index, which is recorded as a monitoring characteristic parameter; Specifically, after the deviation information of the patient's recovery process is output, the patient's recovery ability will be evaluated based on the deviation information, and the recovery ability will be integrated with the real-time monitoring indicators. When the deviation information corresponds to a positive deviation degree, it indicates that the patient's recovery ability is higher than the standard recovery level. In this case, it is necessary to correlate the chest pressure change parameters and bioelectrical impedance change parameters in the real-time monitoring indicators with the positive deviation degree to calculate the patient's recovery acceleration factor, and then the calculated recovery acceleration factor is integrated with the real-time monitoring indicators accordingly to form an accelerated recovery evaluation indicator, and recorded as a monitoring characteristic parameter for subsequent tracking and analysis. On the other hand, when the deviation information corresponds to a negative deviation degree, it indicates that the patient's recovery ability is significantly lower than the standard. Recovery level. In this case, it is also necessary to correlate the chest pressure change parameters and bioelectrical impedance change parameters in the real-time monitoring indicators with the degree of negative deviation, and calculate the patient's recovery delay factor. The recovery delay factor can quantify the degree of slowdown in the patient's recovery speed. Finally, the calculated recovery delay factor is effectively integrated with the real-time monitoring indicators to form a delayed recovery assessment index, and recorded as a monitoring characteristic parameter. The same patient will only correspond to one assessment result, namely the accelerated recovery assessment index or the delayed recovery assessment index, which avoids misjudgment of the patient's recovery status and improves the accuracy of the assessment. After obtaining the quantitative assessment results of the trauma recovery stage, medical staff can understand the patient's recovery status more intuitively, thereby formulating a more reasonable treatment plan to accelerate the patient's recovery process.

[0026] S5. Adaptively adjusting the monitoring frequency of the matching flexible sensor array according to the monitoring characteristic parameters, and determining the patient's monitoring period according to the adaptive adjustment result; In step S5, after the patient's monitoring characteristic parameters are output, the monitoring frequency of the matching flexible sensor array is adaptively adjusted to minimize unnecessary monitoring while ensuring that changes in the patient's physiological state can be captured, thereby improving monitoring efficiency and patient comfort. The steps of adaptively adjusting the monitoring frequency of the matching flexible sensor array according to the monitoring characteristic parameters and determining the patient's monitoring period based on the adaptive adjustment result include: When the monitoring characteristic parameter is an accelerated recovery evaluation index, the accelerated change gradient of the accelerated recovery evaluation index is calculated; When the change gradient of the accelerated recovery assessment index does not fall within the standard change range, it indicates that the patient's recovery speed is abnormal, and the sampling frequency of the flexible sensor array is adjusted according to the gradient increment ratio. Otherwise, the current sampling frequency is maintained and monitoring continues; When the monitoring characteristic parameter is a delayed recovery assessment index, the delayed change gradient of the delayed recovery assessment index is calculated; When the change gradient of the delayed recovery assessment index does not fall within the standard change range, it indicates that the patient's recovery speed is abnormal, and the sampling frequency of the flexible sensor array is adjusted according to the gradient reduction ratio. Otherwise, the current sampling frequency is maintained and monitoring continues; Specifically, when the monitoring characteristic parameter is set to the accelerated recovery evaluation index, the accelerated change gradient of the accelerated recovery evaluation index will be calculated. The accelerated change gradient can reflect the growth rate of the patient's recovery speed. If the calculated accelerated change gradient does not fall within the preset standard change range, it means that the patient's recovery speed is abnormal. At this time, the sampling frequency of the flexible sensing array needs to be adjusted accordingly according to the ratio of the gradient increment. The value of this gradient increment may be positive or negative. When it is positive, it means that the sampling frequency needs to be reduced, but it is still necessary to ensure that the patient's physiological state changes can be captured. When it is negative, it means that the sampling frequency needs to be appropriately increased to more intensively monitor the patient's physiological state. However, if the accelerated change gradient of the accelerated recovery evaluation index is within the standard change range, then the current sampling frequency can be maintained to continue monitoring the patient without additional frequency adjustment. On the other hand, when the monitoring characteristic parameter is set to the delayed recovery evaluation index, the delayed change gradient of the delayed recovery evaluation index will be calculated. The delayed change gradient can reflect the slowdown of the patient's recovery speed. If the calculated delayed change gradient does not fall within the preset standard change range, it means that the patient's recovery speed is also abnormal. At this time, the sampling frequency of the flexible sensor array needs to be adjusted accordingly according to the ratio of the gradient decrement. The value of this gradient decrement may be positive or negative. When it is positive, it means that the sampling frequency needs to be appropriately increased. When it is negative, it means that the sampling frequency needs to be further reduced. However, in either case, it is necessary to make adjustments while ensuring that the changes in the patient's physiological state can be captured. If the delayed change gradient of the delayed recovery assessment index is within the standard change range, then the current sampling frequency can be maintained to continue monitoring the patient without additional frequency adjustment. After the monitoring frequency of the flexible sensor array is adaptively adjusted according to the monitoring characteristic parameters, the patient's monitoring cycle can be determined based on the results of the adaptive adjustment to ensure the effectiveness and efficiency of the monitoring while improving the patient's comfort.

[0027] See also Figure 2 An online chest trauma patient monitoring system, using the above-mentioned online chest trauma patient monitoring method, comprises: Parameter acquisition module, which is used to collect chest pressure distribution data and bioelectrical impedance data by deploying a flexible sensor array and summarize them into physiological monitoring data packets; Parameter analysis module, which is used to perform real-time analysis on the chest pressure distribution data and bioelectrical impedance data in the physiological monitoring data packet, and output chest pressure change parameters and bioelectrical impedance change parameters; A parameter fusion module is used to fuse the chest pressure change parameters and the bioelectrical impedance change parameters to generate a comprehensive monitoring index, compare the comprehensive monitoring index with a pre-established reference physiological range, and output deviation information between the chest pressure change parameters and the bioelectrical impedance change parameters; The quantitative assessment module is used to evaluate the patient's recovery ability based on deviation information, and integrate the recovery ability with real-time monitoring indicators to obtain quantitative assessment results of the trauma recovery stage and record them as monitoring characteristic parameters; The adaptive adjustment module is used to adaptively adjust the monitoring frequency of the matching flexible sensor array according to the monitoring characteristic parameters, and determine the patient's monitoring period according to the adaptive adjustment result.

[0028] In the above description, the parameter acquisition module's main function is to collect intrathoracic pressure distribution data and bioelectrical impedance data through a flexible sensor array deployed on the patient's chest, and to aggregate these collected data into a comprehensive physiological monitoring data package. The parameter analysis module performs real-time analysis and processing on the thoracic pressure distribution data and bioelectrical impedance data in the physiological monitoring data package, extracting and outputting thoracic pressure change parameters and bioelectrical impedance change parameters. The parameter fusion module is responsible for efficiently fusing the extracted thoracic pressure change parameters and bioelectrical impedance change parameters to generate comprehensive monitoring indicators. These comprehensive monitoring indicators are then carefully compared with pre-established reference physiological ranges, and then output deviation information of the thoracic pressure change parameters and bioelectrical impedance change parameters. The quantitative assessment module scientifically assesses the patient's recovery ability based on this deviation information, and effectively integrates the assessed recovery ability with the real-time monitoring indicators to ultimately obtain quantitative assessment results of the trauma recovery stage, which are recorded as monitoring characteristic parameters. The adaptive adjustment module adaptively adjusts the monitoring frequency of the matching flexible sensor array based on the monitoring characteristic parameters, and reasonably determines the patient's monitoring cycle based on the results of the adaptive adjustment to ensure the accuracy and efficiency of the monitoring system.

[0029] See also Figure 3 , an electronic device, the electronic device comprising: at least one processor; and a memory communicatively coupled to the at least one processor; The memory stores a computer program that can be executed by at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the above-mentioned online chest trauma patient monitoring method.

[0030] The processor of the electronic device described above may be a central processing unit (CPU), a graphics processing unit (GPU), or a digital signal processor (DSP). The memory may include read-only memory (ROM), random access memory (RAM), flash memory (Flash), or a hard disk. The electronic device may also include an arithmetic unit, input devices, and output devices. The arithmetic unit may be an arithmetic logic unit (ALU) for performing various arithmetic and logical operations; the input device may include a keyboard, touch screen, or mouse for receiving user input commands; and the output device may include a display screen or printer for displaying or printing processing results. In addition, the electronic device can also communicate with other devices through a network interface to implement functions such as remote monitoring or data sharing.

[0031] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, apparatus, article, or method comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, apparatus, article, or method. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, apparatus, article, or method comprising the element.

[0032] The foregoing is merely a preferred embodiment of the present invention. It should be noted that those skilled in the art may make various improvements and modifications without departing from the principles of the present invention, and such improvements and modifications are also within the scope of protection of the present invention. Structures, devices, and operating methods not specifically described or explained herein shall, unless otherwise specified or limited, be implemented in accordance with conventional means in the art.

Claims

1. An online chest trauma patient monitoring method, characterized by: include: By deploying a flexible sensor array, chest pressure distribution data and bioelectrical impedance data are collected and summarized into physiological monitoring data packets; Perform real-time analysis on the chest pressure distribution data and bioelectrical impedance data in the physiological monitoring data package, and output chest pressure change parameters and bioelectrical impedance change parameters; The chest pressure change parameter and the bioelectrical impedance change parameter are fused to generate a comprehensive monitoring index, and the comprehensive monitoring index is compared with a pre-established reference physiological range, and the deviation information of the chest pressure change parameter and the bioelectrical impedance change parameter is output; Evaluate the patient's recovery ability based on deviation information, and integrate the recovery ability with real-time monitoring indicators to obtain quantitative assessment results of the trauma recovery stage and record them as monitoring characteristic parameters; The monitoring frequency of the matching flexible sensor array is adaptively adjusted according to the monitoring characteristic parameters, and the monitoring period of the patient is determined according to the adaptive adjustment result.

2. The online chest trauma patient monitoring method according to claim 1, characterized in that: The flexible sensing array includes multi-channel piezoresistive sensors and bioelectrical impedance measurement electrodes arranged in a matrix. The multi-channel piezoresistive sensors are used to monitor pressure changes in various parts of the chest cavity, and the bioelectrical impedance measurement electrodes are used to measure the bioelectrical impedance value inside the chest cavity.

3. The online chest trauma patient monitoring method according to claim 1, characterized in that: After the chest pressure distribution data and bioelectrical impedance data are collected, a data preprocessing step is performed, including: Perform noise filtering on chest pressure distribution data and bioelectrical impedance data to eliminate interference signals during the acquisition process; The noise-filtered thoracic pressure distribution data and bioelectrical impedance data are normalized so that they are at the same level. Timestamps are added to the thoracic pressure distribution data and bioelectrical impedance data at the same magnitude to determine the temporal characteristics of the thoracic pressure distribution data and the bioelectrical impedance data.

4. The online chest trauma patient monitoring method according to claim 1, characterized in that: The step of performing real-time analysis on the chest cavity pressure distribution data and the bioelectrical impedance data in the physiological monitoring data packet and outputting the chest cavity pressure change parameter and the bioelectrical impedance change parameter includes: Acquire chest pressure distribution data, calculate the pressure distribution differences of each chest region based on the preset initial time window length, and adaptively adjust the time window length based on the pressure distribution differences in adjacent time windows; Acquire bioelectrical impedance data, apply multi-frequency excitation signals to chest tissue, and collect corresponding impedance response data; Perform time-frequency analysis on the impedance response data, extract the impedance phase angle at the characteristic frequency point, and calculate the phase angle change rate within adjacent monitoring cycles. The pressure distribution difference and phase angle change rate were recorded as the thoracic pressure change parameter and bioelectrical impedance change parameter, respectively.

5. The online chest trauma patient monitoring method according to claim 1, characterized in that: The step of fusing the chest pressure change parameter and the bioelectrical impedance change parameter to generate a comprehensive monitoring indicator includes: Obtaining chest cavity pressure change parameters and bioelectrical impedance change parameters, and respectively calculating real-time weight parameters of the chest cavity pressure change parameters and the bioelectrical impedance change parameters; Normalizing the chest pressure change parameters and bioelectrical impedance change parameters; The normalized chest pressure change parameters and bioelectrical impedance change parameters are weightedly fused according to the real-time weight parameters, and the weighted fusion results are recorded as comprehensive monitoring indicators.

6. The online chest trauma patient monitoring method according to claim 1, characterized in that: The step of comparing the comprehensive monitoring index with a pre-established reference physiological range and outputting deviation information of the chest pressure change parameter and the bioelectrical impedance change parameter includes: Classify and map comprehensive monitoring indicators according to trauma type, and establish dynamic threshold intervals corresponding to pneumothorax, hemothorax, and rib fractures; Compare the cumulative change rate of the comprehensive monitoring indicators in the time series year on year and record it as the benchmark characteristic parameter; comparing baseline characteristic parameters to reference physiological ranges; When the baseline characteristic parameters exceed the reference physiological range, the positive deviation degree of the chest pressure change parameters and the bioelectrical impedance change parameters relative to the dynamic threshold interval is output, and the deviation type is marked as too high. The positive deviation degree and the corresponding monitoring time point are recorded as deviation information; When the baseline characteristic parameters fall within the reference physiological range, it indicates that the patient's trauma recovery status is stable, and the changing trend of the comprehensive monitoring indicators is continuously monitored; When the baseline characteristic parameter is lower than the reference physiological range, the negative deviation degree of the chest pressure change parameter and the bioelectrical impedance change parameter relative to the dynamic threshold interval is output, and the deviation type is marked as too low. The negative deviation degree and the corresponding monitoring time point are recorded as deviation information; The construction of the reference physiological range includes the following steps: Collecting deviation information from the patient's historical records, and extracting the proportions of positive deviation and negative deviation respectively, and recording the proportion of positive deviation as a first characteristic parameter, and recording the proportion of negative deviation as a second characteristic parameter; A physiological characteristic profile of the individual patient is constructed based on the first characteristic parameter and the second characteristic parameter, and the physiological characteristic profile is compared and analyzed with a normal physiological profile to output a reference physiological range that matches the individual patient.

7. The online chest trauma patient monitoring method according to claim 1, characterized in that: The step of evaluating the patient's recovery ability based on the deviation information and integrating the recovery ability with the real-time monitoring indicator includes: When the deviation information corresponds to a positive deviation degree, it indicates that the patient's recovery ability is higher than the standard recovery level. The chest pressure change parameters and bioelectrical impedance change parameters in the real-time monitoring indicators are correlated with the positive deviation degree to calculate the recovery acceleration factor; The recovery acceleration factor is integrated with the real-time monitoring index to form an accelerated recovery evaluation index, which is recorded as a monitoring characteristic parameter; When the deviation information corresponds to a negative deviation degree, it indicates that the patient's recovery ability is lower than the standard recovery level. The chest pressure change parameters and bioelectrical impedance change parameters in the real-time monitoring indicators are correlated with the negative deviation degree to calculate the recovery delay factor. The recovery delay factor is integrated with the real-time monitoring index to form a delayed recovery evaluation index, which is recorded as a monitoring characteristic parameter.

8. The online chest trauma patient monitoring method according to claim 1, characterized in that: The step of adaptively adjusting the monitoring frequency of the matching flexible sensor array according to the monitoring characteristic parameters and determining the patient's monitoring period according to the adaptive adjustment result includes: When the monitoring characteristic parameter is an accelerated recovery evaluation index, the accelerated change gradient of the accelerated recovery evaluation index is calculated; When the change gradient of the accelerated recovery assessment index does not fall within the standard change range, it indicates that the patient's recovery speed is abnormal, and the sampling frequency of the flexible sensor array is adjusted according to the gradient increment ratio. Otherwise, the current sampling frequency is maintained and monitoring continues; When the monitoring characteristic parameter is a delayed recovery assessment index, the delayed change gradient of the delayed recovery assessment index is calculated; When the change gradient of the delayed recovery assessment index does not fall within the standard change range, it indicates that the patient's recovery speed is abnormal, and the sampling frequency of the flexible sensor array is adjusted according to the gradient reduction ratio. Otherwise, the current sampling frequency is maintained for continued monitoring.

9. An online chest trauma patient monitoring system, characterized by: The method for online chest trauma patient monitoring according to any one of claims 1 to 8 comprises: A parameter acquisition module, which is used to collect chest pressure distribution data and bioelectrical impedance data by deploying a flexible sensor array and summarize them into a physiological monitoring data packet; A parameter analysis module, which is used to perform real-time analysis on the chest pressure distribution data and bioelectrical impedance data in the physiological monitoring data packet, and output chest pressure change parameters and bioelectrical impedance change parameters; a parameter fusion module, which is used to fuse the chest pressure change parameter and the bioelectrical impedance change parameter to generate a comprehensive monitoring index, compare the comprehensive monitoring index with a pre-established reference physiological range, and output deviation information between the chest pressure change parameter and the bioelectrical impedance change parameter; A quantitative assessment module is used to assess the patient's recovery ability based on the deviation information, and integrate the recovery ability with the real-time monitoring indicators to obtain a quantitative assessment result of the trauma recovery stage and record it as a monitoring characteristic parameter; The adaptive adjustment module is used to adaptively adjust the monitoring frequency of the matching flexible sensor array according to the monitoring characteristic parameters, and determine the patient's monitoring period according to the adaptive adjustment result.

10. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively coupled to the at least one processor; The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the online chest trauma patient monitoring method according to any one of claims 1 to 8.

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