Non-contact vital sign bed sheet real-time monitoring system based on Internet of Things technology

Abstract

The invention discloses a non-contact vital sign bed sheet real-time monitoring system based on the Internet of Things technology, and relates to the technical field of medical instruments, the non-contact vital sign bed sheet real-time monitoring system comprises a cloud end, an edge end, an application end, an intelligent bed sheet, a remote medical end and a mobile terminal, the personal account is set for the patient according to the basic information of the patient, meanwhile, a plurality of guardian accounts are derived according to the personal account, the electrocardio data of the patient are obtained by adopting a non-contact electrocardio sensor in cooperation with the intelligent bed sheet, the in-bed state of the patient is analyzed in combination with the pressure state data, and therefore the patient can be more accurately monitored. The analysis result is sent to the mobile terminals of the patient and the guardian at the same time, when the patient is in a sleep state and cannot save self, the mobile terminals send alarm signals to prompt the guardian and medical staff to rescue in time, accidents of the patient are avoided, data analysis and deep learning are further carried out according to feedback behaviors of the guardian, and the patient can be more accurately monitored. Guarding suggestions are provided, and the guarding and rescuing process is perfected.

Description

Technical Field

[0001] The present invention relates to the technical field of medical devices, and in particular to a non-contact vital sign bed sheet real-time monitoring system based on Internet of Things technology. Background Art

[0002] In the field of modern medical health monitoring, the collection of human ECG data usually relies on traditional contact devices, such as ECG monitors. These devices require electrodes to be directly attached to human skin, which brings many inconveniences to users. For example, it may cause skin discomfort, restrict the user's freedom of movement, etc., and cannot provide continuous real-time ECG monitoring for many years. Especially for some special groups, such as the elderly, infants, people with sensitive skin, and patients with cardiovascular and cerebrovascular diseases who need long-term continuous monitoring, the limitations of traditional contact ECG monitoring equipment are more obvious. At present, social pressures in all aspects are high, and poor sleep quality can lead to various diseases. It is very important to monitor sleep. Whether it is heart disease or sleep, it must be monitored in real time. Traditional equipment also has certain deficiencies in data transmission and sharing, making it difficult to achieve real-time and efficient remote monitoring and multi-terminal data synchronization;

[0003] In view of the above-mentioned technical defects, a solution is now proposed. Summary of the invention

[0004] The purpose of the present invention is to adopt a non-contact ECG sensor to avoid direct contact of traditional contact monitoring equipment with human skin, reduce user discomfort, and improve the convenience and comfort of monitoring.

[0005] In order to achieve the above-mentioned purpose, the present invention adopts the following technical solutions: a non-contact vital sign bed sheet real-time monitoring system based on Internet of Things technology, including a cloud, an edge terminal, an application terminal, a smart bed sheet, a telemedicine terminal and a mobile terminal;

[0006] A non-contact vital sign bed sheet real-time monitoring system based on Internet of Things technology, characterized by including a cloud end, an edge end, an application end, a smart bed sheet, a telemedicine end and a mobile terminal;

[0007] The cloud includes a user management unit and a user verification unit;

[0008] The user management unit is used to obtain the basic information of the patient, and set up a personal account for the patient according to the basic information, and derive a number of guardian accounts according to the personal account, wherein the personal account includes the patient account name and the patient account password, and the guardian account includes the guardian name and the guardian account password;

[0009] The edge end includes a data acquisition unit, a data transmission unit and a data processing unit;

[0010] The data acquisition unit is used to acquire the patient's real-time ECG data through the ECG sensor, acquire the patient's pressure state data on the surface of the smart bed sheet through the pressure sensor, and send the ECG data and pressure state data to the data processing unit through the data transmission unit;

[0011] The data processing unit is used to obtain ECG data and pressure state data, and obtain accurate ECG real-time data and pressure state data after filtering, noise reduction and amplification, and send the data to the application end;

[0012] The application end includes a data analysis unit, a feedback analysis unit and a data display unit;

[0013] The data analysis unit includes a heart state analysis module and a body motion analysis module, wherein the heart state analysis module is used to obtain and process accurate real-time ECG data, perform heart state analysis based on the accurate real-time ECG data to generate a cardiac electrophysiological evaluation coefficient, perform analysis based on the cardiac electrophysiological evaluation coefficient, and send the analysis result to the data display unit;

[0014] The body motion analysis module is used to obtain and process accurate pressure and respiratory fluctuation change data, and perform a dual-modal comprehensive analysis of body motion status in combination with accurate ECG data to generate a pressure fluctuation coefficient. The pressure fluctuation coefficient is analyzed for sleep status according to a preset body motion threshold, and the analysis results are sent to the data display unit;

[0015] The data display unit is used to obtain and process the results of the heart state analysis and the body movement analysis, generate charts and real-time reminder information according to the results of the heart state analysis and the body movement analysis, send the charts and real-time reminder information to the remote medical terminal and the mobile terminal, and set different basic information prompt forms, and send an alarm signal and patient location information when the set threshold is exceeded;

[0016] The feedback analysis unit is used to obtain feedback information from the mobile terminal, perform data analysis and deep learning on the guardian's feedback behavior based on the feedback information data, and generate monitoring suggestions and send them to the remote medical terminal and mobile terminal.

[0017] Furthermore, the telemedicine terminal is used to obtain cardiac status analysis results and body movement analysis results, and present them in real time in the form of graphics and text.

[0018] Furthermore, the user verification unit is used to obtain the personal account and guardian account generated by the user management unit, and generate account information for classified storage, while obtaining the patient account password and guardian account password, and performing verification based on the stored account information to complete user login.

[0019] Furthermore, the specific process of setting up a personal account for the patient and deriving several guardian accounts based on the personal account is as follows:

[0020] S101, obtaining basic information of the patient through the patient's mobile terminal and the medical information database, wherein the basic information includes the patient's name, age, gender and ID number, address and guardian information;

[0021] S102. Establish a real-name patient's proposed account application name based on the patient's name, and search the database based on the patient's proposed account application name. If the patient's proposed account application name is repeated, obtain the last six digits of the patient's ID number, and calculate the patient's application name suffix based on a preset encryption algorithm, and combine the patient's application name suffix with the patient's proposed account application name to obtain the patient's account name;

[0022] S103, obtaining the patient's age and gender information, performing encryption processing and generating an encryption factor, generating a patient account password corresponding to the patient's account name according to the encryption factor, obtaining the personal account, and sending the personal account to the patient's mobile terminal;

[0023] S104, obtaining guardian information, the guardian information including guardian name, relationship between guardian and patient, and guardian ID number, and obtaining patient account name as guardian proposed account application name;

[0024] S105. Analyze the closeness of contact between the guardian and the patient according to the relationship between them, generate a guardianship priority coefficient according to the closeness of contact, calculate the guardian application name suffix according to a preset encryption algorithm, and combine the guardian application name suffix with the guardian's proposed account application name to obtain the guardian account name;

[0025] S106. The patient's account password is further encrypted to generate a guardian encryption factor, a guardian account password corresponding to the guardian account name is generated according to the guardian encryption factor, the guardian account is obtained, and the guardian account is sent to the guardian's mobile terminal.

[0026] Furthermore, the specific process of analyzing according to the cardiac electrophysiological evaluation coefficient is as follows:

[0027] S201, obtaining accurate ECG data, wherein the ECG data is specifically heart rate data HR;

[0028] S202, obtaining a standard heart rate range (HR1, HR2), and calculating a cardiac electrophysiological evaluation coefficient Gi according to the following formula: Where l = 1, 2, 3, ..., j, j is the number of ECG data;

[0029] S203, obtaining a preset evaluation range (Gmin, Gmax), if the cardiac electrophysiological evaluation coefficient is greater than or equal to Gmin and less than Gmax, generating a cardiac electrophysiological evaluation coefficient safety signal and sending it to the data display unit;

[0030] If the cardiac electrophysiological evaluation coefficient is greater than or equal to Gmax, a cardiac electrophysiological evaluation coefficient abnormal alarm signal is generated and sent to the data display unit.

[0031] Furthermore, the specific process of obtaining the body motion analysis results is as follows:

[0032] S301, establish a two-dimensional coordinate system with the location of the pressure sensor as a reference line, mark the pressure sensor in the two-dimensional coordinate system in turn, obtain accurate pressure state data, the pressure state data includes respiratory rate RR, sleep disordered breathing SDB, borderline sleep disordered breathing BSDB, baseline dyspnea index BDI, apnea AHI, and obtain the location of the pressure sensor according to the source of the pressure state data;

[0033] S302, obtaining accurate ECG data and a preset effective heart rate threshold HR3, and if the pressure fluctuation coefficient is within a normal range, marking the pressure sensor as a standard pressure sensor;

[0034] When the pressure state data is judged to be abnormal according to the pressure fluctuation coefficient, a body position adjustment signal is generated and sent to the data display unit;

[0035] S303, obtain the pressure state data Pi monitored by the standard pressure sensor, and calculate the pressure fluctuation coefficient Lp according to the following formula in combination with the standard pressure range (Pmin, Pmax): Where p = 1, 2, 3, ..., q, q is the number of standard pressure sensors;

[0036] S304: Obtain a preset body movement threshold, and if the pressure fluctuation coefficient is greater than or equal to the body movement threshold, generate a body position adjustment signal again and send it to the data display unit.

[0037] Furthermore, the specific process of evaluating the guardian's feedback behavior and generating guardianship suggestions is as follows:

[0038] S401, obtaining feedback information of the mobile terminal, wherein the feedback information includes a receiving time t1 of the real-time reminder information and a feedback click time t2;

[0039] S402, obtaining the source of the feedback information, that is, the guardian account corresponding to the feedback information, and marking the feedback information with features Mk according to the guardian account, where k is the number of guardian accounts;

[0040] S403: Calculate the effective feedback rate Uk corresponding to the feedback information according to the following formula: Wherein i=1, 2, 3, ..., n, n is the number of feedback information, and e is the preset weight coefficient;

[0041] S404. Obtain a preset feedback evaluation threshold. If the effective feedback rate is less than or equal to the feedback evaluation threshold, it means that the guardian's feedback speed and frequency do not meet the guardianship requirements, and enter the account book for deep learning to achieve accurate and intelligent alarm, then generate a warning signal and send it to the guardian's mobile terminal.

[0042] Furthermore, the smart bed sheet includes a pad cloth and a lining cloth, the lining cloth is fixed to the outer surface of the pad cloth, an inner lining interlayer is formed between the lining cloth and the pad cloth, a plurality of the ECG sensors and pressure sensors are evenly distributed on the inner wall of the inner lining interlayer, the ECG sensors and pressure sensors are arranged and distributed, the ECG sensors and pressure sensors are electrically connected to a conductive connector, and the conductive connector is electrically connected to a controller.

[0043] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0044] 1. The non-contact vital sign bed sheet real-time monitoring system based on Internet of Things technology sets up a personal account for the patient according to the patient's basic information, and derives several guardian accounts based on the personal account. It uses a contactless ECG sensor in conjunction with the smart bed sheet to obtain the patient's ECG data, and analyzes the patient's bed status in combination with the pressure status data. The analysis results are sent to the patient's and the guardian's mobile terminals at the same time. When the patient is in a sleeping state and unconscious or unable to save himself, the mobile terminal sends an alarm signal, and at the same time prompts the guardian and medical staff to rescue in time to avoid accidents to the patient. When rescuing the patient, the smart contract can automatically share the patient's relevant medical data with the receiving medical institution in accordance with the preset format and requirements, without manual intervention, improving medical efficiency, reducing errors and delays, and at the same time conducting further data analysis and deep learning based on the feedback behavior of the guardian, proposing guardianship suggestions, and improving the monitoring and rescue process.

[0045] 2. The non-contact vital sign bed sheet real-time monitoring system based on Internet of Things technology adopts non-contact ECG sensor, which avoids the direct contact of traditional contact monitoring equipment with human skin, reduces user discomfort, improves the convenience and comfort of monitoring, and is especially suitable for special groups of people. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 The overall structure diagram of the system of the present invention is shown;

[0047] Figure 2A schematic diagram of the external structure of the smart bed sheet of the present invention is shown;

[0048] Legend: 1. Pad; 2. Lining cloth; 3. ECG sensor; 4. Pressure sensor; 5. Conductive connector; 6. Controller. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] Embodiment 1:

[0051] like Figure 1 As shown, the non-contact vital sign bed sheet real-time monitoring system based on the Internet of Things technology includes a cloud end, an edge end, an application end, a smart bed sheet, a telemedicine end, and a mobile terminal;

[0052] The remote medical terminal is used to obtain the cardiac status analysis results and body movement analysis results, and present them in real time in the form of graphics and text;

[0053] The cloud includes a user management unit and a user verification unit;

[0054] The user management unit is used to obtain the basic information of the patient, and set up a personal account for the patient according to the basic information, and derive a number of guardian accounts according to the personal account, wherein the personal account includes the patient account name and the patient account password, and the guardian account includes the guardian name and the guardian account password;

[0055] The specific process of setting up a personal account for a patient and deriving several guardian accounts based on the personal account is as follows:

[0056] S101, obtaining basic information of the patient through the patient's mobile terminal and the medical information database, wherein the basic information includes the patient's name, age, gender and ID number, address and guardian information;

[0057] S102. Establish a real-name patient's proposed account application name based on the patient's name, and search the database based on the patient's proposed account application name. If the patient's proposed account application name is repeated, obtain the last six digits of the patient's ID number, and calculate the patient's application name suffix based on a preset encryption algorithm, and combine the patient's application name suffix with the patient's proposed account application name to obtain the patient's account name;

[0058] S103, obtaining the patient's age, gender, and address information, performing encryption processing and generating an encryption factor, generating a patient account password corresponding to the patient account name according to the encryption factor, obtaining the personal account, and sending the personal account to the patient's mobile terminal;

[0059] S104, obtaining guardian information, the guardian information including guardian name, relationship between guardian and patient, and guardian ID number, and obtaining patient account name as guardian proposed account application name;

[0060] S105. Analyze the closeness of contact between the guardian and the patient according to the relationship between them, generate a guardianship priority coefficient according to the closeness of contact, calculate the guardian application name suffix according to a preset encryption algorithm, and combine the guardian application name suffix with the guardian's proposed account application name to obtain the guardian account name;

[0061] S106. The patient's account password is further encrypted to generate a guardian encryption factor, a guardian account password corresponding to the guardian account name is generated according to the guardian encryption factor, the guardian account is obtained, and the guardian account is sent to the guardian's mobile terminal.

[0062] The user verification unit is used to obtain the personal account and guardian account generated by the user management unit, and generate account information for classified storage, and at the same time obtain the patient account password and the guardian account password, and perform verification according to the stored account information to complete the user login;

[0063] The edge end includes a data acquisition unit, a data transmission unit and a data processing unit;

[0064] The data acquisition unit is used to acquire the patient's real-time ECG data through the ECG sensor 3, acquire the patient's pressure state data on the surface of the smart bed sheet through the pressure sensor 4, and send the ECG data and pressure state data to the data processing unit through the data transmission unit;

[0065] The data processing unit is used to obtain ECG data and pressure state data, and obtain accurate ECG real-time data and pressure state data after filtering, noise reduction and amplification, and send the data to the application end;

[0066] The application end includes a data analysis unit, a feedback analysis unit and a data display unit;

[0067] The data analysis unit includes a heart state analysis module and a body motion analysis module, wherein the heart state analysis module is used to obtain and process accurate real-time ECG data, perform heart state analysis based on the accurate real-time ECG data to generate a cardiac electrophysiological evaluation coefficient, perform analysis based on the cardiac electrophysiological evaluation coefficient, and send the analysis result to the data display unit;

[0068] The specific process of analysis based on cardiac electrophysiological evaluation coefficients is as follows:

[0069] S201, obtaining accurate ECG data, wherein the ECG data is specifically heart rate data HR;

[0070] S202, obtaining a standard heart rate range (HR1, HR2), and calculating a cardiac electrophysiological evaluation coefficient Gi according to the following formula: Where l = 1, 2, 3, ..., j, j is the number of ECG data;

[0071] S203, obtaining a preset evaluation range (Gmin, Gmax), if the cardiac electrophysiological evaluation coefficient is greater than or equal to Gmin and less than Gmax, generating a cardiac electrophysiological evaluation coefficient safety signal and sending it to the data display unit;

[0072] If the cardiac electrophysiological evaluation coefficient is greater than or equal to Gmax, a cardiac electrophysiological evaluation coefficient abnormal alarm signal is generated and sent to the data display unit.

[0073] The body motion analysis module is used to obtain and process accurate pressure and respiratory fluctuation change data, and perform a dual-modal comprehensive analysis of body motion status in combination with accurate ECG data to generate a pressure fluctuation coefficient. The pressure fluctuation coefficient is analyzed for sleep status according to a preset body motion threshold, and the analysis results are sent to the data display unit;

[0074] The specific process of obtaining body motion analysis results is as follows:

[0075] S301, establish a two-dimensional coordinate system with the position of the pressure sensor 4 as the reference line, mark the pressure sensor 4 in the two-dimensional coordinate system in turn, obtain accurate pressure state data, the pressure state data includes respiratory rate RR, sleep disordered breathing SDB, borderline sleep disordered breathing BSDB, baseline dyspnea index BDI, apnea AHI, and obtain the position of the pressure sensor 4 according to the source of the pressure state data;

[0076] S302, obtaining accurate ECG data and a preset effective heart rate threshold HR3, and if the pressure fluctuation coefficient is within a normal range, marking the pressure sensor 4 as a standard pressure sensor;

[0077] If the pressure state data in the pressure fluctuation coefficient is abnormal, a body position adjustment signal is generated and sent to the data display unit;

[0078] S303, obtain the pressure state data Pi monitored by the standard pressure sensor 4, and calculate the pressure fluctuation coefficient Lp according to the following formula in combination with the standard pressure range (Pmin, Pmax): Where p = 1, 2, 3, ..., q, q is the number of standard pressure sensors;

[0079] S304: Obtain a preset body movement threshold, and if the pressure fluctuation coefficient is greater than or equal to the body movement threshold, generate a body position adjustment signal again and send it to the data display unit.

[0080] The data display unit is used to obtain and process the results of the heart state analysis and the body movement analysis, generate charts and real-time reminder information according to the results of the heart state analysis and the body movement analysis, send the charts and real-time reminder information to the remote medical terminal and the mobile terminal, and set different basic information prompt forms, and send an alarm signal and patient location information when the set threshold is exceeded;

[0081] The feedback analysis unit is used to obtain feedback information from the mobile terminal, perform data analysis and deep learning on the guardian's feedback behavior based on the feedback information data, and generate monitoring suggestions and send them to the remote medical terminal and mobile terminal.

[0082] The specific process of evaluating the guardian's feedback behavior and generating guardianship recommendations is as follows:

[0083] S401, obtaining feedback information of the mobile terminal, wherein the feedback information includes a receiving time t1 of the real-time reminder information and a feedback click time t2;

[0084] S402, obtaining the source of the feedback information, that is, the guardian account corresponding to the feedback information, and marking the feedback information with features Mk according to the guardian account, where k is the number of guardian accounts;

[0085] S403: Calculate the effective feedback rate Uk corresponding to the feedback information according to the following formula: Wherein i=1, 2, 3, ..., n, n is the number of feedback information, and e is the preset weight coefficient;

[0086] S404. Obtain a preset feedback evaluation threshold. If the effective feedback rate is less than or equal to the feedback evaluation threshold, it means that the guardian's feedback speed and frequency do not meet the guardianship requirements, and enter the account book for deep learning to achieve accurate and intelligent alarm, then generate a warning signal and send it to the guardian's mobile terminal.

[0087] Embodiment 2:

[0088] like Figure 2 As shown, the non-contact vital sign bed sheet real-time monitoring system based on the Internet of Things technology includes a cloud end, an edge end, an application end, a smart bed sheet, a telemedicine end, and a mobile terminal;

[0089] The smart bed sheet comprises a pad cloth 1 and a lining cloth 2, wherein the lining cloth 2 is fixedly arranged on the outer surface of the pad cloth 1, and an inner lining interlayer is formed between the lining cloth 2 and the pad cloth 1, and a plurality of electrocardiogram sensors 3 and pressure sensors 4 are evenly distributed on the inner wall of the inner lining interlayer, and the electrocardiogram sensors 3 and the pressure sensors 4 are arranged and distributed, and the electrocardiogram sensors 3 and the pressure sensors 4 are electrically connected to a conductive connector 5, and the conductive connector 5 is electrically connected to a controller 6;

[0090] The ECG sensor 3 is specifically a compact ECG sensor, and the pressure sensor 4 is specifically a matrix pressure sensor.

[0091] The working principle is as follows: lay the smart bed sheet on the patient's bed, ensure that the surface of the pad cloth 1 is flat, and the lining cloth 2 covers the area where the patient's heart is located when lying down, and electrically connect it to the power supply through the conductive connector 5, and control the circuit connection through the power switch button on the controller 6. When the patient lies on the smart bed sheet, the lining cloth 2 fits the patient's heart area, and the patient's ECG data is obtained through the ECG sensor 3. The non-contact ECG sensor 3 avoids direct contact of traditional contact monitoring equipment with human skin, reduces the user's discomfort, and improves the convenience and comfort of monitoring. It is especially suitable for special groups of people.

[0092] The size of the interval and threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technical personnel in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0093] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0094] In the two embodiments provided in the present application, it should be understood that the disclosed devices and systems can be implemented in other ways; for example, the device embodiments described above are only schematic, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed; another point, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, the indirect coupling or communication connection of devices or modules can be electrical, mechanical or other forms;

[0095] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A non-contact vital sign bed sheet real-time monitoring system based on Internet of Things technology, characterized in that: Including cloud, edge, application, smart bed sheets, telemedicine and mobile terminals; The cloud includes a user management unit and a user verification unit; The user management unit is used to obtain the basic information of the patient, and set up a personal account for the patient according to the basic information, and derive a number of guardian accounts according to the personal account, wherein the personal account includes the patient account name and the patient account password, and the guardian account includes the guardian name and the guardian account password; The edge end includes a data acquisition unit, a data transmission unit and a data processing unit; The data acquisition unit is used to acquire the patient's real-time ECG data through the ECG sensor (3), acquire the patient's pressure state data on the surface of the smart bed sheet through the pressure sensor (4), and simultaneously send the ECG data and the pressure state data to the data processing unit through the data transmission unit; The data processing unit is used to obtain ECG data and pressure state data, and obtain accurate ECG real-time data and pressure state data after filtering, noise reduction and amplification, and send the data to the application end; The application end includes a data analysis unit, a feedback analysis unit and a data display unit; The data analysis unit includes a heart state analysis module and a body motion analysis module, wherein the heart state analysis module is used to obtain and process accurate real-time ECG data, perform heart state analysis based on the accurate real-time ECG data to generate a cardiac electrophysiological evaluation coefficient, perform analysis based on the cardiac electrophysiological evaluation coefficient, and send the analysis result to the data display unit; The body motion analysis module is used to obtain and process accurate pressure and respiratory fluctuation change data, and perform a dual-modal comprehensive analysis of body motion status in combination with accurate ECG data to generate a pressure fluctuation coefficient. The pressure fluctuation coefficient is analyzed for sleep status according to a preset body motion threshold, and the analysis results are sent to the data display unit; The data display unit is used to obtain and process the results of the heart state analysis and the body movement analysis, generate charts and real-time reminder information according to the results of the heart state analysis and the body movement analysis, send the charts and real-time reminder information to the remote medical terminal and the mobile terminal, and set different basic information prompt forms, and send an alarm signal and patient location information when the set threshold is exceeded; The feedback analysis unit is used to obtain feedback information from the mobile terminal, perform data analysis and deep learning on the guardian's feedback behavior based on the feedback information data, and generate monitoring suggestions and send them to the remote medical terminal and mobile terminal.

2. According to the Internet of Things technology-based non-contact vital signs bed sheet real-time monitoring system according to claim 1, it is characterized in that: The remote medical terminal is used to obtain cardiac status analysis results and body movement analysis results, and present them in real time in the form of graphics and text.

3. According to the Internet of Things technology-based non-contact vital signs bed sheet real-time monitoring system of claim 1, it is characterized in that: The user verification unit is used to obtain the personal account and guardian account generated by the user management unit, and generate account information for classified storage, while obtaining the patient account password and guardian account password, and verifying according to the stored account information to complete user login.

4. According to the Internet of Things technology-based non-contact vital signs bed sheet real-time monitoring system of claim 1, it is characterized in that: The specific process of setting up a personal account for a patient and deriving several guardian accounts based on the personal account is as follows: S101, obtaining basic information of the patient through the patient's mobile terminal and the medical information database, wherein the basic information includes the patient's name, age, gender and ID number, address and guardian information; S102. Establish a real-name patient's proposed account application name based on the patient's name, and search the database based on the patient's proposed account application name. If the patient's proposed account application name is repeated, obtain the last six digits of the patient's ID number, and calculate the patient's application name suffix based on a preset encryption algorithm, and combine the patient's application name suffix with the patient's proposed account application name to obtain the patient's account name; S103, obtaining the patient's age, gender, and address information, performing encryption processing and generating an encryption factor, generating a patient account password corresponding to the patient account name according to the encryption factor, obtaining the personal account, and sending the personal account to the patient's mobile terminal; S104, obtaining guardian information, the guardian information including guardian name, relationship between guardian and patient, and guardian ID number, and obtaining patient account name as guardian proposed account application name; S105. Analyze the closeness of contact between the guardian and the patient according to the relationship between them, generate a guardianship priority coefficient according to the closeness of contact, calculate the guardian application name suffix according to a preset encryption algorithm, and combine the guardian application name suffix with the guardian's proposed account application name to obtain the guardian account name; S106. The patient's account password is further encrypted to generate a guardian encryption factor, a guardian account password corresponding to the guardian account name is generated according to the guardian encryption factor, the guardian account is obtained, and the guardian account is sent to the guardian's mobile terminal.

5. According to the Internet of Things technology-based non-contact vital signs bed sheet real-time monitoring system of claim 1, it is characterized in that: The specific process of analysis based on cardiac electrophysiological evaluation coefficients is as follows: S201, obtaining accurate ECG data, wherein the ECG data is specifically heart rate data HR; S202, obtaining a standard heart rate range (HR1, HR2), and calculating a cardiac electrophysiological evaluation coefficient Gi according to the following formula: Where l = 1, 2, 3, ..., j, j is the number of ECG data; S203, obtaining a preset evaluation range (Gmin, Gmax), if the cardiac electrophysiological evaluation coefficient is greater than or equal to Gmin and less than Gmax, generating a cardiac electrophysiological evaluation coefficient safety signal and sending it to the data display unit; If the cardiac electrophysiological evaluation coefficient is greater than or equal to Gmax, a cardiac electrophysiological evaluation coefficient abnormal alarm signal is generated and sent to the data display unit.

6. The non-contact vital sign bed sheet real-time monitoring system based on Internet of Things technology according to claim 1 is characterized in that: The specific process of obtaining body motion analysis results is as follows: S301, establishing a two-dimensional coordinate system with the position of the pressure sensor (4) as a reference line, marking the pressure sensor (4) in the two-dimensional coordinate system in turn, obtaining accurate pressure state data, and obtaining the position of the pressure sensor (4) according to the source of the pressure state data; S302, obtaining accurate ECG data and a preset effective heart rate threshold HR3, and if the pressure fluctuation coefficient is within a normal range, marking the pressure sensor (4) as a standard pressure sensor; If the pressure state data in the pressure fluctuation coefficient is abnormal, a body position adjustment signal is generated and sent to the data display unit; S303, obtain the pressure state data Pi monitored by the standard pressure sensor, and calculate the pressure fluctuation coefficient Lp according to the following formula in combination with the standard pressure range (Pmin, Pmax): Where p = 1, 2, 3, ..., q, q is the number of standard pressure sensors; S304: Obtain a preset body movement threshold, and if the pressure fluctuation coefficient is greater than or equal to the body movement threshold, generate a body position adjustment signal again and send it to the data display unit.

7. The non-contact vital sign bed sheet real-time monitoring system based on Internet of Things technology according to claim 1 is characterized in that: The specific process of evaluating the guardian's feedback behavior and generating guardianship recommendations is as follows: S401, obtaining feedback information of the mobile terminal, wherein the feedback information includes a receiving time t1 of the real-time reminder information and a feedback click time t2; S402, obtaining the source of the feedback information, that is, the guardian account corresponding to the feedback information, and marking the feedback information with features Mk according to the guardian account, where k is the number of guardian accounts; S403: Calculate the effective feedback rate Uk corresponding to the feedback information according to the following formula: Wherein i=1, 2, 3, ..., n, n is the number of feedback information, and e is the preset weight coefficient; S404: Obtain a preset feedback evaluation threshold. If the effective feedback rate is less than or equal to the feedback evaluation threshold, it means that the guardian's feedback speed and frequency do not meet the guardianship requirements, and a warning signal is generated and sent to the guardian's mobile terminal.

8. The non-contact vital sign bed sheet real-time monitoring system based on Internet of Things technology according to claim 1 is characterized in that: The smart bed sheet comprises a pad cloth (1) and a lining cloth (2), wherein the lining cloth (2) is fixedly arranged on the outer surface of the pad cloth (1), and an inner lining interlayer is formed between the lining cloth (2) and the pad cloth (1), and a plurality of electrocardiogram sensors (3) and pressure sensors (4) are evenly distributed on the inner wall of the inner lining interlayer, and the electrocardiogram sensors (3) and pressure sensors (4) are arranged and distributed, and the electrocardiogram sensors (3) and pressure sensors (4) are electrically connected to a conductive connector (5), and the conductive connector (5) is electrically connected to a controller (6).

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