Wireless monitoring system for vital sign parameters of critical patient

Abstract

The invention discloses a critical patient vital sign parameter wireless monitoring system, and belongs to the technical field of critical patient monitoring, and the critical patient vital sign parameter wireless monitoring system comprises a monitoring collection device configured to collect critical patient vital sign data; the wireless transmission unit is configured to wirelessly transmit the collected vital sign data of the critical patient to a central monitoring platform based on a 5G network; a central monitoring platform; and the early warning module is configured to process and analyze the vital sign data of the critical patient and perform early warning management and control on the critical patient. The problems that in the prior art, vital sign parameters of the critical patient cannot be wirelessly monitored in real time, the illness state of the critical patient cannot be known in time, and the treatment efficiency and safety of the critical patient are low are solved. When it is predicted that the vital signs of the critical patient have abnormal risk behaviors, early warning management and control are conducted on the critical patient, vital sign parameters of the critical patient can be wirelessly monitored in real time, the illness state of the critical patient can be known in time, and the treatment efficiency and safety of the critical patient can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of critical patient monitoring, and specifically to a wireless monitoring system for the vital sign parameters of critical patients. Background Art

[0002] Critical patients refer to those with unstable vital signs, rapid changes in their conditions, and instability, decline or failure of the functions of two or more organ systems. The development of their conditions may endanger the lives of the patients. Therefore, it is particularly important to monitor the vital signs of critical patients.

[0003] Chinese Patent with Publication No. CN113543344B discloses a method for collecting information of critical patients based on the Internet of Things, including: collecting the physical sign information of critical patients by a first mobile terminal and collecting the physical sign information of critical patients by a second mobile terminal; receiving, by the first mobile terminal, a set of sidelink communication resources allocated by a base station, and receiving, by the second mobile terminal, a set of sidelink communication resources allocated by the base station; sending, by the first mobile terminal, a first scheduling message to a relay mobile terminal in a first subframe within a scheduling allocation period of a first scheduling cycle; sending, by the second mobile terminal, a second scheduling message to the relay mobile terminal in a second subframe within the scheduling allocation period of the first scheduling cycle; having the second mobile terminal listen to the first scheduling message sent by the first mobile terminal, and having the second mobile terminal determine the time-frequency position of a first resource for the first mobile terminal to send data based on the first scheduling message. However, this patent has the following defects: The existing technology cannot perform real-time wireless monitoring of the vital sign parameters of critical patients, and cannot timely understand the conditions of critical patients, resulting in low treatment efficiency and safety for critical patients. Summary of the Invention

[0004] The purpose of the present invention is to provide a wireless monitoring system for the vital sign parameters of critical patients, which can perform real-time wireless monitoring of the vital sign parameters of critical patients, can timely understand the conditions of critical patients, and can improve the treatment efficiency and safety of critical patients, thus solving the problems raised in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solutions: A wireless monitoring system for the vital sign parameters of critical patients, comprising: A monitoring and acquisition device configured to collect the vital sign data of critical patients; A wireless transmission unit configured to wirelessly transmit the collected vital sign data of critical patients to a central monitoring platform based on a 5G network; A central monitoring platform configured to process and analyze the vital sign data of critical patients and perform early warning and control on critical patients.

[0006] Preferably, collect the vital sign data of critically ill patients, including: Collect the vital sign parameters of critically ill patients based on the intelligent sensors set on the wearable device; Use a heart rate sensor to monitor and collect the heart rate of critically ill patients in real time, and obtain the heart rate data of critically ill patients; Use a blood pressure sensor to monitor and collect the blood pressure of critically ill patients in real time, and obtain the blood pressure data of critically ill patients; Use a respiratory sensor to monitor and collect the respiration of critically ill patients in real time, and obtain the respiration data of critically ill patients; Use a body temperature sensor to monitor and collect the body temperature of critically ill patients in real time, and obtain the body temperature data of critically ill patients; Use a blood oxygen saturation sensor to monitor and collect the blood oxygen saturation of critically ill patients in real time, and obtain the blood oxygen saturation data of critically ill patients; Among them, determine the vital sign data of critically ill patients according to the heart rate data, blood pressure data, respiration data, body temperature data and blood oxygen saturation data of critically ill patients.

[0007] Preferably, wirelessly transmit the collected vital sign data of critically ill patients to the central monitoring platform based on the 5G network, including: Establish a wireless network data transmission connection between the monitoring and collection device and the central monitoring platform; Among them, the monitoring and collection device transmits an instruction to request the establishment of a wireless network data transmission connection to the central monitoring platform; After the central monitoring platform receives the instruction to request the establishment of a wireless network data transmission connection transmitted by the monitoring and collection device, the central monitoring platform performs a security authentication on the data transmission port of the monitoring and collection device, and evaluates whether the data transmission port of the monitoring and collection device has the qualification to establish a wireless network data transmission connection with the central monitoring platform; When the data transmission port of the monitoring and collection device has the qualification to establish a wireless network data transmission connection with the central monitoring platform, the central monitoring platform transmits an instruction to agree to establish a wireless network data transmission connection to the monitoring and collection device; After the monitoring and collection device receives the instruction to agree to establish a wireless network data transmission connection transmitted by the central monitoring platform, the monitoring and collection device establishes a wireless network data transmission connection with the central monitoring platform according to the instruction to agree to establish a wireless network data transmission connection transmitted by the central monitoring platform. At this time, the collected vital sign data of critically ill patients is wirelessly transmitted to the central monitoring platform.

[0008] Preferably, process the vital sign data of critically ill patients, including: Clean the vital sign data of critically ill patients, remove the noise in the vital sign data of critically ill patients, identify duplicate values, missing values and outliers in the vital sign data of critically ill patients, and delete the duplicate values, missing values and outliers that are useless for the wireless monitoring of vital sign parameters of critically ill patients; Convert the vital sign data of critically ill patients to unify the format of the vital sign data of critically ill patients, eliminate the dimensional differences between the vital sign data of critically ill patients, and determine the standardized vital sign data of critically ill patients.

[0009] Preferably, the processing of the vital sign data of critically ill patients further includes: Integrate the vital sign data of critically ill patients, integrate the vital sign data of critically ill patients into a unified data view, and sort the vital sign data of critically ill patients according to the time series; Extract features from the vital sign data of critically ill patients, extract the features useful for the wireless monitoring of vital sign parameters of critically ill patients from the vital sign data of critically ill patients, and determine the vital sign feature data of critically ill patients.

[0010] Preferably, the analysis of the vital sign data of critically ill patients includes: Construct a risk prediction model for the vital signs of critically ill patients, and deploy the risk prediction model for the vital signs of critically ill patients in the actual wireless monitoring environment of vital sign parameters of critically ill patients; Input the vital sign feature data of critically ill patients into the risk prediction model for the vital signs of critically ill patients, analyze and perform pattern recognition on the vital sign feature data of critically ill patients according to the risk prediction model for the vital signs of critically ill patients, and predict the abnormal risk behavior of the vital signs of critically ill patients to determine the risk prediction result of the vital signs of critically ill patients.

[0011] Preferably, constructing a risk prediction model for the vital signs of critically ill patients includes: Collect the historical data of the vital signs of critically ill patients, divide the collected historical data of the vital signs of critically ill patients, and determine the training set and the test set; Based on deep learning technology, use the training set to train the deep learning model, enable the deep learning model to autonomously learn the abnormal features of the vital signs of critically ill patients, and perform pattern recognition on the vital signs of critically ill patients to determine the risk prediction model for the vital signs of critically ill patients; Perform performance testing on the risk prediction model for the vital signs of critically ill patients based on the test set, evaluate whether the risk prediction model for the vital signs of critically ill patients can achieve the expected effect according to the accuracy rate, recall rate and F1 score, adjust the parameters of the risk prediction model for the vital signs of critically ill patients according to the evaluation results, and determine the best risk prediction model for the vital signs of critically ill patients after continuous iterative optimization.

[0012] Preferably, early warning and control of critically ill patients include: Intelligently manage critically ill patients according to the risk prediction results of their vital signs; When abnormal risk behaviors in the vital signs of critically ill patients are predicted, early warning and control of critically ill patients are carried out. Among them, an early warning alarm is automatically triggered to timely remind medical management personnel to treat critically ill patients in a timely manner, and the abnormal risk behaviors in the vital signs of critically ill patients are presented to medical management personnel in a visual form, providing data support for medical management personnel to treat critically ill patients.

[0013] Preferably, the central monitoring platform conducts security authentication on the data transmission ports of monitoring and acquisition devices, including: After the central monitoring platform receives the request transmitted by the monitoring and acquisition device, it analyzes the request to obtain the request information of the monitoring and acquisition device; Identify the associated information of the central monitoring platform for the request information of the monitoring and acquisition device, and determine whether there is associated information of the central monitoring platform in the request information of the monitoring and acquisition device to obtain the first analysis and judgment result; When the first analysis and judgment result is that there is associated information of the central monitoring platform in the request information of the monitoring and acquisition device, obtain the port information of the data transmission port of the monitoring and acquisition device. Among them, the port information includes: port protocol information, port usage information, and port security information; Determine the communication protocol used by the port according to the port protocol information, and analyze the adaptability between the port communication protocol and the central monitoring platform based on the central monitoring platform to obtain the first analysis data; Conduct port traffic analysis according to the port usage information, determine the port traffic characteristics and extreme values, and conduct adaptability analysis in combination with the central monitoring platform based on the port traffic characteristics and extreme values to obtain the second analysis data; Determine the port encryption protocol according to the port security information, conduct data security analysis based on the port encryption protocol to obtain the third analysis data, and at the same time conduct adaptability analysis between the port encryption protocol and the central monitoring platform to obtain the fourth analysis data; Comprehensively obtain the port evaluation data from the first analysis data, the second analysis data, the third analysis data, and the fourth analysis data, and determine whether the data transmission port of the monitoring and acquisition device is qualified to establish a wireless network data transmission connection with the central monitoring platform according to the port evaluation data.

[0014] Preferably, feature extraction of the vital sign data of critically ill patients includes: Sort out the vital sign data of critically ill patients, and form multiple vital sign data sub-columns according to the data source in combination with the time series; Perform statistical feature analysis and extraction based on the sub-column of vital sign data, obtain the basic statistical features of the sub-column of vital sign data, and obtain the first feature of the vital sign data; Match the standard sequence of vital sign data according to the sub-column of vital sign data to obtain the target standard sequence of vital sign data, and perform the second statistical feature analysis and calculation based on the target standard sequence of vital sign data combined with the sub-column of vital sign data to obtain the second feature of the vital sign data; Perform structural feature analysis and extraction on the sub-column of vital sign data, obtain the internal symbiotic relationship feature of the time series of the sub-column of vital sign data, and obtain the third feature of the vital sign data; Perform data fitting on the sub-column of vital sign data according to the time series, and perform fitting curve analysis based on the data fitting result to obtain the fitting curve feature, and obtain the fourth feature of the vital sign data; At the same time, perform data prediction based on the data fitting result, and determine the fifth feature of the vital sign data according to the predicted data; Fuse the first feature, the second feature, the third feature, the fourth feature and the fifth feature of the vital sign data to obtain the comprehensive feature set of the vital sign data; Screen according to the features useful for wireless monitoring of the vital sign parameters of critically ill patients in the comprehensive feature set of the vital sign data to obtain the vital sign feature data of critically ill patients.

[0015] Compared with the prior art, the beneficial effects of the present invention are: The present invention collects the heart rate data, blood pressure data, respiratory data, body temperature data and blood oxygen saturation data of critically ill patients through intelligent sensors, determines the vital sign data of critically ill patients, determines the vital sign feature data of critically ill patients by processing the vital sign data of critically ill patients, analyzes and performs pattern recognition on the vital sign feature data of critically ill patients according to the vital sign risk prediction model of critically ill patients, predicts the abnormal risk behavior of the vital sign of critically ill patients, determines the vital sign risk prediction result of critically ill patients, and when it is predicted that there is an abnormal risk behavior in the vital sign of critically ill patients, performs early warning and control on critically ill patients, automatically triggers an early warning alarm, and timely reminds medical management personnel to treat critically ill patients in a timely manner. It can perform real-time wireless monitoring on the vital sign parameters of critically ill patients, can timely understand the condition of critically ill patients, and can improve the treatment efficiency and safety of critically ill patients. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is the flowchart of the wireless monitoring system for the vital sign parameters of critically ill patients of the present invention; Figure 2 is the module diagram of the wireless monitoring system for the vital sign parameters of critically ill patients of the present invention. Detailed implementation mode

[0017] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work belong to the scope of protection of the present invention.

[0018] In order to solve the problem that the existing technology cannot perform real-time wireless monitoring of the vital sign parameters of critically ill patients, and cannot timely understand the condition of critically ill patients, resulting in low treatment efficiency and safety of critically ill patients, please refer to Figure 1 - Figure 2 , the following technical solutions are provided in this embodiment: A wireless monitoring system for the vital sign parameters of critically ill patients, including: a monitoring and acquisition device, a wireless transmission unit, and a central monitoring platform.

[0019] Among them, the monitoring and acquisition device is used to collect the vital sign data of critically ill patients; In this embodiment, collecting the vital sign data of critically ill patients includes: Collecting the vital sign parameters of critically ill patients based on the intelligent sensors set on the wearable device; Using a heart rate sensor to monitor and collect the heart rate of critically ill patients in real time, and obtaining the heart rate data of critically ill patients; It should be noted that a heart rate sensor is a device used to measure the heart rate of the human body. It usually provides real-time heart rate data by monitoring the electrical activity or blood flow of the heart, and converts these data into electrical signals or digital signals. By detecting the heart rate of critically ill patients, it can help medical staff understand the heart rate status of critically ill patients and intervene in a timely manner.

[0020] Using a blood pressure sensor to monitor and collect the blood pressure of critically ill patients in real time, and obtaining the blood pressure data of critically ill patients; It should be noted that the blood pressure sensor is an instrument and equipment for measuring arterial, venous blood pressure, ventricular pressure, and cerebrospinal fluid pressure in human clinical practice. It uses an imported high-accuracy and high-stability force-sensitive chip, and has the characteristics of high sensitivity and high measurement accuracy. By detecting the blood pressure of critically ill patients, it can help medical staff understand the blood pressure status of critically ill patients and intervene in a timely manner.

[0021] Using a respiratory sensor to monitor and collect the respiration of critically ill patients in real time, and obtaining the respiration data of critically ill patients; It should be noted that a respiratory sensor is a device used to record the number of breaths per unit time of a patient and can display the current respiratory rate. By detecting parameters such as respiratory rate, depth, and pattern, it helps medical staff understand the patient's respiratory status and intervene in a timely manner.

[0022] A body temperature sensor is used to monitor and collect the body temperature of critically ill patients in real time to obtain the body temperature data of critically ill patients; It should be noted that a body temperature sensor is a sensor that can sense body temperature and convert it into an available output signal. By detecting the body temperature of critically ill patients, it can help medical staff understand the body temperature status of critically ill patients and intervene in a timely manner.

[0023] An oxygen saturation sensor is used to monitor and collect the oxygen saturation of critically ill patients in real time to obtain the oxygen saturation data of critically ill patients; It should be noted that an oxygen saturation sensor is a medical device component used to measure the oxygen saturation and pulse rate of the human body. It obtains oxygen-related information by detecting the absorption of light of different wavelengths by human tissues. By detecting the oxygen saturation of critically ill patients, it can help medical staff understand the oxygen saturation status of critically ill patients and intervene in a timely manner.

[0024] Among them, based on the heart rate data, blood pressure data, respiratory data, body temperature data, and oxygen saturation data of critically ill patients, the vital sign data of critically ill patients is determined.

[0025] Specifically, by collecting the heart rate data, blood pressure data, respiratory data, body temperature data, and oxygen saturation data of critically ill patients, the vital sign data of critically ill patients is determined, which can provide data support for the wireless monitoring of vital sign parameters of critically ill patients.

[0026] Among them, a wireless transmission unit is used to wirelessly transmit the collected vital sign data of critically ill patients to a central monitoring platform based on a 5G network; It should be noted that the 5G network has the characteristics of high speed and low latency, and is suitable for the wireless monitoring of real-time vital sign parameters of critically ill patients.

[0027] In this embodiment, wirelessly transmitting the collected vital sign data of critically ill patients to a central monitoring platform based on a 5G network includes: Establishing a wireless network data transmission connection between the monitoring and collection device and the central monitoring platform; Among them, the monitoring and collection device transmits an instruction to request the establishment of a wireless network data transmission connection to the central monitoring platform; After the central monitoring platform receives the instruction to request the establishment of a wireless network data transmission connection transmitted by the monitoring and acquisition device, the central monitoring platform conducts a security authentication on the data transmission port of the monitoring and acquisition device to evaluate whether the data transmission port of the monitoring and acquisition device is qualified to establish a wireless network data transmission connection with the central monitoring platform; When the data transmission port of the monitoring and acquisition device is qualified to establish a wireless network data transmission connection with the central monitoring platform, the central monitoring platform transmits an instruction to the monitoring and acquisition device to consent to the establishment of a wireless network data transmission connection; After the monitoring and acquisition device receives the instruction transmitted by the central monitoring platform to consent to the establishment of a wireless network data transmission connection, the monitoring and acquisition device establishes a wireless network data transmission connection with the central monitoring platform according to the instruction transmitted by the central monitoring platform to consent to the establishment of a wireless network data transmission connection. At this time, the vital signs data of the critically ill patients collected is wirelessly transmitted to the central monitoring platform.

[0028] Among them, the central monitoring platform is used to process and analyze the vital signs data of critically ill patients and conduct early warning and control on critically ill patients.

[0029] In this embodiment, processing the vital signs data of critically ill patients includes: Cleaning the vital signs data of critically ill patients, removing the noise in the vital signs data of critically ill patients, identifying the duplicate values, missing values and abnormal values in the vital signs data of critically ill patients, and deleting the duplicate values, missing values and abnormal values that are useless for the wireless monitoring of the vital signs parameters of critically ill patients; Converting the vital signs data of critically ill patients to unify the format of the vital signs data of critically ill patients, eliminating the dimension differences between the vital signs data of critically ill patients, and determining the standardized vital signs data of critically ill patients; Integrating the vital signs data of critically ill patients, integrating the vital signs data of critically ill patients into a unified data view, and sorting the vital signs data of critically ill patients according to the time series; Extracting features from the vital signs data of critically ill patients, extracting the features useful for the wireless monitoring of the vital signs parameters of critically ill patients from the vital signs data of critically ill patients, and determining the vital signs feature data of critically ill patients.

[0030] It should be noted that by cleaning, converting, integrating and feature extracting the vital signs data of critically ill patients, the vital signs feature data of critically ill patients is determined, which is convenient for subsequent prediction of the abnormal risk behavior of the vital signs of critically ill patients.

[0031] In this embodiment, analyzing the vital signs data of critically ill patients includes: Construct a vital sign risk prediction model for critically ill patients, and deploy the vital sign risk prediction model for critically ill patients in an actual wireless monitoring environment of vital sign parameters of critically ill patients; Input the vital sign characteristic data of critically ill patients into the vital sign risk prediction model for critically ill patients, analyze and perform pattern recognition on the vital sign characteristic data of critically ill patients according to the vital sign risk prediction model for critically ill patients, predict the abnormal risk behaviors of the vital signs of critically ill patients, and determine the vital sign risk prediction results for critically ill patients.

[0032] It should be noted that analyzing and performing pattern recognition on the vital sign characteristic data of critically ill patients according to the vital sign risk prediction model for critically ill patients, predicting the abnormal risk behaviors of the vital signs of critically ill patients, and determining the vital sign risk prediction results for critically ill patients facilitate subsequent early warning and control of critically ill patients, enabling critically ill patients to receive timely treatment.

[0033] In this embodiment, constructing a vital sign risk prediction model for critically ill patients includes: Collect the historical vital sign data of critically ill patients, divide the collected historical vital sign data of critically ill patients, and determine the training set and the test set; Based on deep learning technology, use the training set to train the deep learning model, enable the deep learning model to autonomously learn the abnormal characteristics of the vital signs of critically ill patients, perform pattern recognition on the vital signs of critically ill patients, and determine the vital sign risk prediction model for critically ill patients; Perform performance testing on the vital sign risk prediction model for critically ill patients based on the test set, evaluate whether the vital sign risk prediction model for critically ill patients can achieve the expected effect according to the accuracy rate, recall rate, and F1 score, adjust the parameters of the vital sign risk prediction model for critically ill patients according to the evaluation results, and after continuous iterative optimization, determine the best vital sign risk prediction model for critically ill patients.

[0034] In this embodiment, the early warning and control of critically ill patients include: Intelligently manage critically ill patients according to the vital sign risk prediction results of critically ill patients; When it is predicted that there are abnormal risk behaviors in the vital signs of critically ill patients, conduct early warning and control of critically ill patients. Among them, automatically trigger an early warning alarm, timely remind medical management personnel to provide timely treatment for critically ill patients, and display the abnormal risk behaviors existing in the vital signs of critically ill patients in a visual form to medical management personnel, providing data support for medical management personnel to treat critically ill patients.

[0035] In this embodiment, the central monitoring platform conducts security authentication on the data transmission ports of the monitoring and acquisition devices, including: After the central monitoring platform receives the request transmitted by the monitoring and acquisition device, it parses the request to obtain the request information of the monitoring and acquisition device; Perform central monitoring platform associated information identification on the request information of the monitoring and acquisition device to determine whether there is central monitoring platform associated information in the request information of the monitoring and acquisition device, and obtain a first analysis and judgment result; When the first analysis and judgment result is that there is central monitoring platform associated information in the request information of the monitoring and acquisition device, obtain the port information of the data transmission port of the monitoring and acquisition device, where the port information includes: port protocol information, port usage information, and port security information; Determine the communication protocol used by the port according to the port protocol information, and analyze the adaptability between the port communication protocol and the central monitoring platform based on the central monitoring platform to obtain first analysis data; Perform port traffic analysis according to the port usage information, determine the port traffic characteristics and extreme values, and perform adaptability analysis in combination with the central monitoring platform based on the port traffic characteristics and extreme values to obtain second analysis data; Determine the port encryption protocol according to the port security information, perform data security analysis based on the port encryption protocol to obtain third analysis data, and at the same time perform adaptability analysis between the port encryption protocol and the central monitoring platform to obtain fourth analysis data; Integrate the first analysis data, second analysis data, third analysis data, and fourth analysis data to obtain port evaluation data, and determine whether the data transmission port of the monitoring and acquisition device is eligible for wireless network data transmission connection with the central monitoring platform according to the port evaluation data.

[0036] Among them, when analyzing the adaptability between the port protocol and the central monitoring platform based on the central monitoring platform, determine whether there is an existing communication protocol for the port protocol in the central monitoring platform, so as to determine the adaptability analysis data and obtain the first analysis data.

[0037] When performing adaptability analysis in combination with the central monitoring platform based on the port traffic characteristics and extreme values, determine the relationship data between the port traffic characteristics and extreme values and the normal received data stream of the central monitoring platform, so as to obtain the second analysis data.

[0038] When performing adaptability analysis between the port encryption protocol and the central monitoring platform, determine the adaptability between the port encryption protocol and the decryption protocol in the central monitoring platform, and then obtain the fourth analysis data.

[0039] When integrating the first analysis data, second analysis data, third analysis data, and fourth analysis data to obtain port evaluation data, calculate the port evaluation data through the following formula: In the above formula, For port evaluation data; For analysis weights, when At that time, That is Is the weight of the first analysis data. When At that time, That is Is the weight of the second analysis data; Represents analysis data. When At that time, That is Is the first analysis data. When At that time, That is Is the second analysis data; Is the combined weight of the third analysis data and the fourth analysis data, and ; Is the sub - information weight in the port security information. When At that time, That is Is the weight of the third analysis data. When At that time, That is Is the weight of the fourth analysis data, and ; Is the third analysis data or the fourth analysis data. When At that time, That is Is the third analysis data. When At that time, That is Is the fourth analysis data.

[0040] The above - mentioned identification of the associated information of the central monitoring platform for the request information of the monitoring and acquisition device enables analysis and evaluation only when a connection establishment request is transmitted between the monitoring and acquisition device and the central monitoring platform during security authentication, avoiding invalid analysis and evaluation on the central monitoring platform when the monitoring and acquisition device requests to establish a connection with other platforms or devices, reducing the waste of unnecessary time. Moreover, by obtaining the port information of the data transmission port of the monitoring and acquisition device, analysis is performed based on port protocol information, port usage information, and port security information during analysis and evaluation, ensuring the adaptation of the port to the central monitoring platform and avoiding abnormal data transmission caused by the incompatibility between the port and the central monitoring platform, making the security authentication more comprehensive, guaranteeing the effectiveness of the creation of the wireless network data transmission link, and further providing guarantee for the transmission of the vital sign data of critically ill patients by the wireless transmission unit, improving the timeliness, effectiveness, and accuracy of the wireless monitoring system for the vital sign parameters of critically ill patients.

[0041] In this embodiment, feature extraction of the vital sign data of critically ill patients includes: Sort out the vital sign data of critically ill patients, and form multiple sub-columns of vital sign data according to the data sources combined with the time series; Perform statistical feature analysis and extraction based on the sub-columns of vital sign data, obtain the basic statistical features of the sub-columns of vital sign data, and obtain the first feature of the vital sign data; Match the standard sequence of vital sign data according to the sub-columns of vital sign data to obtain the target standard sequence of vital sign data, and perform the second statistical feature analysis and calculation according to the target standard sequence of vital sign data combined with the sub-columns of vital sign data to obtain the second feature of the vital sign data; Conduct structural feature analysis and extraction for the sub-columns of vital sign data, obtain the internal co-occurrence relationship features of the time series of the sub-columns of vital sign data, and obtain the third feature of the vital sign data; Perform data fitting on the sub-columns of vital sign data according to the time series, and conduct fitting curve analysis based on the data fitting results to obtain the fitting curve features and the fourth feature of the vital sign data; Meanwhile, perform data prediction based on the data fitting results, and determine the fifth feature of the vital sign data according to the predicted data; Fuse the first feature, the second feature, the third feature, the fourth feature and the fifth feature of the vital sign data to obtain the comprehensive feature set of the vital sign data; Screen according to the features useful for wireless monitoring of the vital sign parameters of critically ill patients in the comprehensive feature set of the vital sign data to obtain the vital sign feature data of critically ill patients.

[0042] Among them, the data source refers to real-time monitoring and collection through different sensors.

[0043] The basic statistical features of the sub-columns of vital sign data are, for example: mean, standard deviation, skewness, kurtosis, etc.

[0044] The second statistical features are, for example: linear correlation coefficient, cross-correlation coefficient, etc.

[0045] The internal co-occurrence relationship features of the time series are, for example: entropy, inertia coefficient, local homogeneity, etc.

[0046] The above realizes the sub-columns of vital sign data corresponding to heart rate data, blood pressure data, respiratory data, body temperature data and blood oxygen saturation data by sorting out the vital sign data of critically ill patients, and then conducts feature analysis based on the sub-columns of vital sign data. Moreover, when conducting feature analysis on the sub-columns of vital sign data, multi-faceted multi-feature analysis is adopted, so as to analyze the data features of the sub-columns of vital sign data from multiple angles, improve the comprehensiveness of the comprehensive feature set of the vital sign data, provide guarantee for the central monitoring platform to analyze, and enable the central monitoring platform to more accurately conduct early warning and control on critically ill patients.

[0047] In summary, by collecting the heart rate data, blood pressure data, respiratory data, body temperature data, and blood oxygen saturation data of critically ill patients through intelligent sensors, the vital sign data of critically ill patients is determined. By processing the vital sign data of critically ill patients, the vital sign characteristic data of critically ill patients is determined. According to the vital sign risk prediction model for critically ill patients, the vital sign characteristic data of critically ill patients is analyzed and pattern recognized, and the abnormal risk behavior of the vital signs of critically ill patients is predicted to determine the vital sign risk prediction result of critically ill patients. When an abnormal risk behavior of the vital signs of a critically ill patient is predicted, early warning and control are carried out on the critically ill patient, an early warning alarm is automatically triggered, and medical management personnel are timely reminded to provide timely treatment to the critically ill patient. The vital sign parameters of critically ill patients can be wirelessly monitored in real time, the condition of critically ill patients can be timely understood, and the treatment efficiency and safety of critically ill patients can be improved.

[0048] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device.

[0049] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made in these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A wireless monitoring system for vital signs parameters of critically ill patients, characterized by: include: Monitoring and collection equipment configured to collect vital sign data of critically ill patients; A wireless transmission unit, configured to wirelessly transmit the collected vital sign data of critically ill patients to a central monitoring platform based on a 5G network; The central monitoring platform is configured to process and analyze the vital signs data of critically ill patients and to perform early warning and control of critically ill patients.

2. The wireless monitoring system for vital signs parameters of critically ill patients according to claim 1, characterized in that: Collect vital signs data of critically ill patients, including: Intelligent sensors based on wearable devices are used to collect vital sign parameters of critically ill patients; Use heart rate sensors to monitor and collect the heart rate of critically ill patients in real time and obtain heart rate data of critically ill patients; Use blood pressure sensors to monitor and collect blood pressure of critically ill patients in real time to obtain blood pressure data of critically ill patients; Use respiratory sensors to monitor and collect the respiratory conditions of critically ill patients in real time and obtain their respiratory data; Use temperature sensors to monitor and collect the temperature of critically ill patients in real time and obtain their temperature data; Use blood oxygen saturation sensors to monitor and collect blood oxygen saturation of critically ill patients in real time and obtain blood oxygen saturation data of critically ill patients; Among them, the vital signs data of critically ill patients are determined based on their heart rate data, blood pressure data, respiratory data, body temperature data and blood oxygen saturation data.

3. The critically ill patient vital sign parameter wireless monitoring system according to claim 1, characterized in that: Based on the 5G network, the collected vital signs data of critically ill patients are wirelessly transmitted to the central monitoring platform, including: Establish a wireless network data transmission connection between monitoring and collection equipment and the central monitoring platform; Among them, the monitoring and collection equipment transmits an instruction requesting to establish a wireless network data transmission connection to the central monitoring platform; After the central monitoring platform receives the instruction of the request transmitted by the monitoring and collection equipment to establish the wireless network data transmission connection, the central monitoring platform performs security authentication on the data transmission port of the monitoring and collection equipment to evaluate whether the data transmission port of the monitoring and collection equipment is qualified to establish the wireless network data transmission connection with the central monitoring platform; When the data transmission port of the monitoring and collection device is qualified to establish a wireless network data transmission connection with the central monitoring platform, the central monitoring platform transmits an instruction to the monitoring and collection device to agree to establish a wireless network data transmission connection; After the monitoring and collection device receives the instruction transmitted by the central monitoring platform agreeing to establish a wireless network data transmission connection, the monitoring and collection device establishes a wireless network data transmission connection with the central monitoring platform according to the instruction transmitted by the central monitoring platform agreeing to establish a wireless network data transmission connection. At this time, the collected vital signs data of the critically ill patients are wirelessly transmitted to the central monitoring platform.

4. The critical patient vital sign parameter wireless monitoring system according to claim 1, characterized in that: Processing of critically ill patients’ vital signs data, including: Clean the vital signs data of critically ill patients, remove the noise in the vital signs data of critically ill patients, identify the duplicate values, missing values ​​and abnormal values ​​in the vital signs data of critically ill patients, and delete the useless duplicate values, missing values ​​and abnormal values ​​in the wireless monitoring of the vital signs parameters of critically ill patients; The vital signs data of critically ill patients are converted to unify the format of the vital signs data of critically ill patients, eliminate the dimensional differences between the vital signs data of critically ill patients, and determine standardized vital signs data of critically ill patients.

5. The critically ill patient vital sign parameter wireless monitoring system as claimed in claim 4, characterized in that: Processing of vital signs data of critically ill patients also includes: Integrate the vital signs data of critically ill patients into a unified data view and sort the vital signs data of critically ill patients according to time series; Feature extraction is performed on the vital signs data of critically ill patients, features useful for wireless monitoring of vital signs parameters of critically ill patients are extracted from the vital signs data of critically ill patients, and characteristic data of vital signs of critically ill patients are determined.

6. The critically ill patient vital sign parameter wireless monitoring system according to claim 1, characterized in that: Analyze the vital signs data of critically ill patients, including: Construct a risk prediction model for the vital signs of critically ill patients, and deploy the risk prediction model for the vital signs of critically ill patients in an actual wireless monitoring environment for the vital signs parameters of critically ill patients; The critically ill patients' vital signs characteristic data are input into the critically ill patients' vital signs risk prediction model, and the critically ill patients' vital signs characteristic data are analyzed and pattern recognized according to the critically ill patients' vital signs risk prediction model, and the critically ill patients' abnormal risk behaviors of vital signs are predicted to determine the critically ill patients' vital signs risk prediction results.

7. The critically ill patient vital sign parameter wireless monitoring system according to claim 6, characterized in that: Construct a risk prediction model for critically ill patients’ vital signs, including: Collect historical data of vital signs of critically ill patients, divide the collected historical data of vital signs of critically ill patients, and determine the training set and the test set; Based on deep learning technology, the deep learning model is trained with a training set, so that the deep learning model can autonomously learn the abnormal characteristics of the vital signs of critically ill patients, perform pattern recognition on the vital signs of critically ill patients, and determine the risk prediction model of the vital signs of critically ill patients; The performance of the critically ill patients' vital signs risk prediction model was tested based on the test set. The accuracy, recall rate and F1 score were used to evaluate whether the critically ill patients' vital signs risk prediction model could achieve the expected results. The parameters of the critically ill patients' vital signs risk prediction model were adjusted according to the evaluation results. After continuous iterative optimization, the optimal critically ill patients' vital signs risk prediction model was determined.

8. The critically ill patient vital sign parameter wireless monitoring system according to claim 6, characterized in that: Early warning and control of critically ill patients, including: Intelligent management of critically ill patients based on their vital signs risk prediction results; When it is predicted that a critically ill patient's vital signs show abnormal risk behaviors, early warning control will be carried out on the critically ill patient. The early warning alarm will be automatically triggered to promptly remind medical management personnel to provide timely treatment to the critically ill patient, and the abnormal risk behaviors in the critically ill patient's vital signs will be displayed to the medical management personnel in a visual form, providing data support for the medical management personnel to treat critically ill patients.

9. The critically ill patient vital sign parameter wireless monitoring system as claimed in claim 3, characterized in that: The central monitoring platform performs security authentication on the data transmission ports of monitoring and collection equipment, including: After receiving the request transmitted by the monitoring and collecting device, the central monitoring platform parses the request and obtains the request information of the monitoring and collecting device; Identify the central monitoring platform-related information for the request information of the monitoring and collection device, determine whether the central monitoring platform-related information exists in the request information of the monitoring and collection device, and obtain a first analysis and judgment result; When the first analysis and judgment result is that the request information of the monitoring and collection device contains the central monitoring platform related information, the port information of the data transmission port of the monitoring and collection device is obtained, wherein the port information includes: port protocol information, port usage information and port security information; Determine the communication protocol used by the port according to the port protocol information, and analyze the compatibility between the port communication protocol and the central monitoring platform based on the central monitoring platform to obtain first analysis data; Perform port traffic analysis according to the port usage information to determine port traffic characteristics and extreme values, and perform adaptation analysis based on the port traffic characteristics and extreme values ​​in combination with the central monitoring platform to obtain second analysis data; Determine the port encryption protocol according to the port security information, perform data security analysis based on the port encryption protocol to obtain third analysis data, and perform adaptability analysis on the port encryption protocol and the central monitoring platform to obtain fourth analysis data; The first analysis data, the second analysis data, the third analysis data and the fourth analysis data are integrated to obtain port evaluation data, and based on the port evaluation data, it is determined whether the data transmission port of the monitoring and collection device is qualified to connect to the central monitoring platform for wireless network data transmission.

10. The critically ill patient vital sign parameter wireless monitoring system according to claim 5, characterized in that: Extract features from critically ill patients’ vital signs data, including: Organize the vital signs data of critically ill patients and form multiple vital signs data sub-columns according to the data source and time series; Perform statistical feature analysis and extraction based on the vital signs data sub-column, obtain basic statistical features of the vital signs data sub-column, and obtain the first feature of the vital signs data; Matching the vital sign data standard sequence according to the vital sign data sub-sequence to obtain the target vital sign data standard sequence, and performing a second statistical feature analysis and calculation according to the target vital sign data standard sequence combined with the vital sign data sub-sequence to obtain the second feature of the vital sign data; Perform structural feature analysis and extraction on the vital signs data sub-columns, obtain the time series internal symbiotic relationship features of the vital signs data sub-columns, and obtain the third feature of the vital signs data; Performing data fitting on the vital sign data sub-columns according to the time series, and performing fitting curve analysis based on the data fitting results to obtain the fitting curve characteristics and obtain the fourth characteristic of the vital sign data; At the same time, data prediction is performed based on the data fitting results, and the fifth feature of the vital sign data is determined according to the predicted data; Performing multi-feature fusion on the first feature of the vital signs data, the second feature of the vital signs data, the third feature of the vital signs data, the fourth feature of the vital signs data and the fifth feature of the vital signs data to obtain a comprehensive feature set of the vital signs data; According to the features useful for wireless monitoring of vital sign parameters of critically ill patients, the comprehensive feature set of vital sign data is screened to obtain the vital sign feature data of critically ill patients.

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