CN116403736B - Remote medical monitoring system based on Internet of things technology - Google Patents

Remote medical monitoring system based on Internet of things technology Download PDF

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CN116403736B
CN116403736B CN202310669171.2A CN202310669171A CN116403736B CN 116403736 B CN116403736 B CN 116403736B CN 202310669171 A CN202310669171 A CN 202310669171A CN 116403736 B CN116403736 B CN 116403736B
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blood
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vital sign
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CN116403736A (en
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魏永刚
董林辉
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Yuntian Intelligent Information Shenzhen Co ltd
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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14532—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/45—For evaluating or diagnosing the musculoskeletal system or teeth
    • A61B5/4504—Bones
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/50—Clinical applications
    • A61B6/505—Clinical applications involving diagnosis of bone
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

The application relates to the technical field of remote medical monitoring, in particular to a remote medical monitoring system based on the Internet of things technology, which comprises patient-side medical acquisition equipment, intelligent transmission equipment, information processing equipment and a remote medical service side, wherein the patient-side medical acquisition equipment comprises a patient basic information acquisition module for acquiring basic information parameters of a patient and a patient vital sign acquisition module for acquiring vital sign parameters of the patient at different moments; the information processing equipment performs directional data processing on basic information parameters of the patient and vital sign parameters of the patient from the intelligent transmission equipment, and further performs comprehensive evaluation analysis processing to judge different levels of risk states of the patient. The application realizes the real-time connection between the patient and the medical staff through the internet of things technology and realizes the real-time monitoring, thereby providing more accurate and more timely medical advice for the patient and providing medical service reference for reasonable medication of the patient at different stages and the hospitalization time of the patient.

Description

Remote medical monitoring system based on Internet of things technology
Technical Field
The application relates to the technical field of remote medical monitoring, in particular to a remote medical monitoring system based on the internet of things technology.
Background
Telemedicine systems are systems that engage in remote health activities and services through internet of things or/and internet technology, with the purpose of facilitating global health, disease control, patient care, medical education, health management, and related research. With the deepening of the aging degree of the domestic population and the rising of the health consciousness of the whole population, the medical demand is greatly increased and medical resources are seriously in shortage, so that the construction and the application of a remote medical system are particularly important, and the remote medical system is an important means for realizing the efficient utilization of the medical resources.
The existing remote medical system is mainly based on the architecture of a network system to realize information transmission, but cannot provide corresponding targeted medical advice according to the specific personal condition of a patient and the stability of vital signs of the patient, still cannot realize the purpose of accurate medical treatment, and also is difficult to reduce the medical pressure of a medical system in a hospital in a peak period. The application patent with the application number of CN201810477602.4 discloses a remote medical monitoring system and a remote medical monitoring method based on NB-IoT, which mainly comprise a device sensing layer, a network transmission layer, an Internet of things platform layer and a medical monitoring application layer; the device sensing layer is responsible for accessing medical sensing devices, and NB-IoT communication modules are arranged in the devices; the network transmission layer uses NB-IoT network communication, after the medical equipment works, the built-in NB-IoT communication module establishes connection with a base station of a communication operator, and a data transmission channel between the equipment and an internet of things platform is established; the platform layer of the Internet of things is deployed on the cloud server, supports NB-IoT protocol access equipment, and provides functions of equipment registration, equipment access, equipment management, data acquisition and data storage; the medical monitoring application layer deploys a remote medical monitoring system, and medical health data of the system is derived from an Internet of things platform, namely data reported by medical sensing equipment. The application patent with the application number of CN202010398403.1 discloses a remote medical monitoring system based on the Internet of things by applying a 5G technology, which comprises a data acquisition unit (1), a 5G communication connection unit (2), an information transmission encryption unit (3), a compatibility communication platform (4), an online diagnosis unit (5) and a diagnosis feedback unit (6); wherein: the data acquisition unit (1) detects and monitors physiological data of a diagnosis and treatment object in real time through household medical equipment instruments, transmits the data to the information transmission encryption unit (3) through the 5G communication connection unit (2), and can receive feedback information of the diagnosis feedback unit (6). The above-mentioned prior patent of the application can not provide corresponding targeted and personalized medical advice aiming at the personal specific condition of the patient and the stability of vital signs of the patient, and can not realize the purpose of accurate medical treatment.
Disclosure of Invention
Therefore, the application aims to provide a remote medical monitoring system based on the internet of things technology, so as to solve the problem that the existing remote medical monitoring system cannot provide corresponding medical advice according to specific personal conditions of patients and the stability of vital signs of the patients.
Based on the above purpose, the application provides a telemedicine monitoring system based on the internet of things technology, which comprises a patient-side medical acquisition device, an intelligent transmission device, an information processing device and a telemedicine service side, wherein the patient-side medical acquisition device comprises a patient basic information acquisition module and a patient vital sign acquisition module;
the patient basic information acquisition module is used for acquiring patient basic information parameters including the bone age GL and the body mass index BMI of the patient;
the bone age is photographed through wrist joint or knee joint X-rays, then bone age measurement is carried out according to GP atlas method or TW3 scoring method or computer bone age calculation system, the bone age represents the actual biological age of the patient and indirectly reflects the actual physiological age of the patient, and in general, the higher the bone age, the larger the actual physiological age of the patient;
the body mass index BMI may be determined by an intelligent height and weight measuring instrument or calculated according to the following formula: body mass index BMI = patient weight (Kg)/height 2 （m 2 ) The method comprises the steps of carrying out a first treatment on the surface of the The body mass index BMI can prompt the body weight and the lean degree, whether the body is healthy, nutritional state and the like, and generally, the body mass index BMI of adults in China is 18.5-23.9 kg/m 2 The internal part belongs to the normal range;
the patient vital sign acquisition module is used for acquiring patient vital sign parameters at different moments, including the body temperature TWt, the blood pressure XYt, the blood oxygen saturation XBt and the blood glucose concentration XTt of the patient at different moments; wherein the blood pressure XYt includes a systolic blood pressure XYSt, a diastolic blood pressure XYFt;
body temperature TWt generally refers to the temperature inside the human body, and the measurement methods include oral measurement, axillary measurement, etc.; the armpit temperature of normal people is 36-37 ℃, if the body temperature of the patient epsilon (37 ℃,38 ℃), the patient is regarded as low fever, if the body temperature of the patient epsilon (38 ℃,39 ℃), the patient is regarded as moderate fever, and if the body temperature of the patient epsilon (39 ℃,40.5 ℃), the patient is regarded as high fever;
blood pressure XYt refers to the lateral pressure (i.e., pressure) of blood in a blood vessel against a unit area of a blood vessel wall, including systolic pressure XYSt, diastolic pressure XYFt, measured by an electronic sphygmomanometer; wherein, ideal blood pressure: systolic pressure is less than or equal to 120mmHg and diastolic pressure is less than or equal to 80mmHg, and normal blood pressure is achieved: systolic pressure should be <130mmHg, diastolic pressure <85mmHg, normal high blood pressure limit or pre-hypertension: systolic pressure is 130-139 mmHg and/or diastolic pressure is 85-89 mmHg, hypertension: systolic pressure is more than or equal to 140mmHg and/or diastolic pressure is more than or equal to 90mmHg, hypotension: the systolic pressure is less than or equal to 90mmHg and/or the diastolic pressure is less than or equal to 60mmHg;
blood oxygen saturation (SO 2) XBt is the percentage of the volume of oxyhemoglobin (HbO 2) bound by oxygen in the blood to the volume of total hemoglobin (Hb) bound, i.e. the concentration of blood oxygen in the blood is an important physiological parameter of the respiratory cycle, and monitoring arterial blood oxygen saturation (SaO 2) allows an estimate of the oxygenization and hemoglobin oxygen carrying capacity of the lung; blood oxygen saturation XBt is measured using a finger-worn photoelectric sensor, which is fitted over the patient's finger and light passing through the tissue bed is measured using red light of λ=660 nm and near infrared light of λ=940 nm as the light source for the light injectionIntensity, to calculate hemoglobin concentration and blood oxygen saturation; the blood oxygen saturation of normal human arterial blood is 95-100%, and is considered as blood oxygen saturation (SO 2) in medicine<90% are the criteria for hypoxia;
the blood glucose concentration XTt is a glucose content value measured by extracting venous blood or peripheral blood of a human body at any moment, and is expressed in millimoles per liter (mmol/L), is the most common detection index for diabetes mellitus, and is used for reflecting the beta cell function of pancreatic islet and generally representing the secretion function of basic insulin; normal people have a fasting whole blood glucose concentration of 3.9-6.1 mmol/L, and are called hyperglycemia if the fasting whole blood glucose concentration exceeds 6.1mmol/L, and are called hypoglycemia if the blood glucose concentration is lower than 3.9 mmol/L;
the intelligent transmission equipment is used for uploading the basic information parameters of the patient acquired by the patient-side medical acquisition equipment and vital sign parameters of the patient to the information processing equipment;
the information processing equipment performs directional data processing on basic information parameters of the patient and vital sign parameters of the patient from the intelligent transmission equipment to obtain a first comprehensive basic evaluation index JCpz of the patient and a second comprehensive vital sign stability coefficient SMwx of the patient, and further performs comprehensive evaluation analysis processing to judge different levels of risk states of the patient;
the remote medical service end selects different remote medical service strategies according to different grade risk states of the patient.
Preferably, the first patient comprehensive basic evaluation index JCpz relates the parameters by performing dimensionless processing on the absolute values of the bone age GL, the body mass index BMI and the standard body mass index BMIs of the patient, and the relation formula is as follows:
；
wherein, the parameter meaning is: BMIs set at 21.0Kg/m 2 ，Is bone age influencing factor (insertion formula) 0.38 +.≤0.66，Is a body mass index influencing factor of 0.24-0%And C1 is a constant correction coefficient which is less than or equal to 0.51.
Preferably, the body temperature stability factor TWtx is calculated by the body temperature TWt of the patient at different moments in time, with the following calculation formula:
；
wherein, the parameter meaning is: TWs represents standard body temperature, the set value is 36.5 ℃, t represents the number of the body temperature parameters of the patient at different moments, and t=1, 2, 3, 4, … … and n are positive integers.
Preferably, the blood pressure stability factor XYtx is calculated by the systolic blood pressure XYSt and the diastolic blood pressure XYFt of the patient at different moments, and the calculation formula is as follows:
；
wherein, the parameter meaning is:indicating the ideal systolic pressure of the material,=120mmHg，indicating the ideal systolic pressure of the material,the reference numbers of the blood pressure (including systolic pressure and systolic pressure) parameters of the patient at different moments are shown by t=80 mmhg, and t=1, 2, 3, 4, … … and n are positive integers.
Preferably, the blood oxygen saturation stability factor XBtx is calculated by the blood oxygen saturation XBt of the patient at different moments, and the calculation formula is as follows:
；
wherein, the parameter meaning is: XBmax represents maximum blood oxygen saturation, xbmax=100%, t represents the number of blood oxygen saturation parameters of the patient at different times, and t=1, 2, 3, 4, … …, n is a positive integer.
Preferably, the blood glucose concentration stability factor XTtx is calculated from the blood glucose concentration XTt of the patient at different moments in time, with the following calculation formula:
；
wherein, the parameter meaning is:representing normal fasting whole bloodThe maximum value of the sugar is given by,=6.1mmol/L，represents the normal fasting whole blood glucose minimum value,=3.9 mmol/L, t represents the number of blood glucose concentration parameters at different times, t=1, 2, 3, 4, … …, n being a positive integer.
Preferably, the second patient integrated vital sign stability factor SMwx is obtained by performing dimensionless treatment on the patient body temperature stability factor TWtx, the blood pressure stability factor XYtx, the blood oxygen saturation stability factor XBtx and the blood sugar concentration stability factor XTtx, and associating the parameters with each other as follows:
；
wherein, the parameter meaning is:as the body temperature influencing factor,as the blood pressure influencing factor,as the blood oxygen saturation influence factor,is a blood sugar concentration influencing factor, and＞＞＞＞0，=1.73, C2 is a constant correction coefficient.
Preferably, the comprehensive evaluation analysis processing is further performed to determine the risk states of different grades of patients, specifically: and further carrying out comprehensive quantification treatment on the first patient comprehensive basic evaluation index JCPz and the second patient comprehensive vital sign stability coefficient SMwx to generate a patient comprehensive evaluation index ZPj, wherein the quantification treatment formula is as follows:
；
wherein q is a constant correction coefficient, and q is more than or equal to 1.18 and less than or equal to 1.56;
and sets the first evaluation threshold as1, setting a second evaluation threshold as2, and1, a step of; when (when)When the patient is in a low risk state, the patient is judged to be in a good health condition and the disease is stable; when (when)When the patient is in a stroke risk state, the patient is judged to be in a stroke risk state, and the patient is poor in health condition and unstable in disease condition; when (when)And when the patient is in a high risk state, the patient is judged to be in a poor health condition and unstable illness state.
Preferably, the telemedicine service end selects different telemedicine service strategies according to different grade risk states of the patient, specifically:
if the remote medical service end receives and displays that the patient is in a low risk state currently, medical staff takes measures for keeping the current dosage or properly reducing the dosage of the medicine for the patient, but the dosage of the medicine is not lower than the minimum dosage, and normal discharge or early discharge is arranged, and the state of following the diagnosis is kept after discharge;
if the remote medical service end receives and displays that the patient is in a state of risk of stroke, medical staff takes measures for moderately increasing the dosage of the patient, and the dosage of the drug is controlled to be the maximum dosage of safe drugIn the scope, the hospitalization time is prolonged appropriately so as to observe the subsequent disease development of the patient;
if the remote medical service end receives and displays that the patient is in a high risk state currently, medical staff increases the measure of the dosage of the patient, but the dosage of the patient is controlled within the maximum dosage range of safe medication, surgery treatment is combined if necessary, and the hospitalization duration is prolonged appropriately so as to observe the subsequent disease development of the patient.
The application has the beneficial effects that:
according to the application, through collecting basic information parameters of patients such as bone age GL and body mass index BMI of the patients, body temperature TWt, blood pressure XYt (comprising systolic blood pressure XYSt, diastolic blood pressure XYFt), blood oxygen saturation XBt, blood sugar concentration XTt and the like of the patients at different moments, and further carrying out directional data processing, a first comprehensive basic evaluation index JCPz of the patients and a second comprehensive vital sign stability coefficient SMwx of the patients are generated, then comprehensive quantitative processing is carried out on the first comprehensive basic evaluation index JCPz and the second comprehensive basic evaluation index SMwx of the patients, a comprehensive evaluation index ZPj of the patients is generated, different grade risk states of the patients are evaluated by comparing ZPj with a preset threshold value, further different remote medical service strategies are provided for the patients, accurate medical services are provided for the patients, and real-time visual medical decision support is provided for medical staff.
The application provides corresponding targeted and personalized medical advice aiming at the personal specific condition of the patient and the stability of vital signs of the patient, lays a foundation for realizing accurate medical treatment and targeted treatment in hospitals and provides medical data support.
According to the application, the real-time connection between the patient and the medical staff is realized through the Internet of things technology, the real-time monitoring is realized, and the information processing equipment is used for carrying out data analysis and processing on basic information parameters and vital sign parameters of the patient, so that more accurate and more timely medical advice is provided for the patient, and medical service references are provided for reasonable medication of the patient at different stages and the hospitalization time of the patient; the remote medical monitoring system based on the Internet of things technology has the characteristics of convenience, high efficiency and safety, is suitable for clinically developing remote medical services, improves the medical diagnosis timeliness, reduces the working pressure of medical staff and reduces the burden of the medical system.
Drawings
In order to more clearly illustrate the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only of the application and that other drawings can be obtained from them without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of the operation of a telemedicine monitoring system unit based on the internet of things technology.
Detailed Description
The present application will be further described in detail with reference to specific embodiments in order to make the objects, technical solutions and advantages of the present application more apparent. It is to be noted that unless otherwise defined, technical or scientific terms used herein should be taken in a general sense as understood by one of ordinary skill in the art to which the present application belongs. The terms "first," "second," and the like, as used herein, do not denote any order, quantity, or importance, but rather are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that elements or items preceding the word are included in the element or item listed after the word and equivalents thereof, but does not exclude other elements or items. The terms "connected" or "connected," and the like, are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", etc. are used merely to indicate relative positional relationships, which may also be changed when the absolute position of the object to be described is changed.
A remote medical monitoring system based on the internet of things technology comprises a patient-side medical acquisition device, an intelligent transmission device, an information processing device and a remote medical service side; the patient-side medical acquisition equipment comprises a patient basic information acquisition module and a patient vital sign acquisition module;
the patient basic information acquisition module is used for acquiring the bone age GL and the body mass index BMI of a patient; the bone age is photographed through wrist joint or knee joint X-rays, then bone age measurement is carried out according to GP atlas method or TW3 scoring method or computer bone age calculation system, the bone age represents the actual biological age of the patient and indirectly reflects the actual physiological age of the patient, and in general, the higher the bone age, the larger the actual physiological age of the patient;
the body mass index BMI may be determined by an intelligent height and weight measuring instrument or calculated according to the following formula: body mass index BMI = patient weight (Kg)/height 2 （m 2 ) The method comprises the steps of carrying out a first treatment on the surface of the The body mass index BMI can prompt the body weight and the lean degree, whether the body is healthy, nutritional state and the like, and generally, the body mass index BMI of adults in China is 18.5-23.9 kg/m 2 The internal part belongs to the normal range;
the patient vital sign acquisition module is used for acquiring the body temperature TWt, the blood pressure XYt, the blood oxygen saturation XBt and the blood sugar concentration XTt of the patient at different moments; t represents the number of vital sign parameters of the patient at different moments, t=1, 2, 3, 4, … …, n being a positive integer;
body temperature TWt generally refers to the temperature inside the human body, and the measurement methods include oral measurement, axillary measurement, etc.; the armpit temperature of normal people is 36-37 ℃, if the body temperature of the patient epsilon (37 ℃,38 ℃), the patient is regarded as low fever, if the body temperature of the patient epsilon (38 ℃,39 ℃), the patient is regarded as moderate fever, and if the body temperature of the patient epsilon (39 ℃,40.5 ℃), the patient is regarded as high fever;
blood pressure XYt refers to the lateral pressure (i.e., pressure) of blood in a blood vessel against a unit area of a blood vessel wall, including systolic pressure XYSt, diastolic pressure XYFt, measured by an electronic sphygmomanometer; wherein, ideal blood pressure: systolic pressure is less than or equal to 120mmHg and diastolic pressure is less than or equal to 80mmHg, and normal blood pressure is achieved: systolic pressure should be <130mmHg, diastolic pressure <85mmHg, normal high blood pressure limit or pre-hypertension: systolic pressure is 130-139 mmHg and/or diastolic pressure is 85-89 mmHg, hypertension: systolic pressure is more than or equal to 140mmHg and/or diastolic pressure is more than or equal to 90mmHg, hypotension: the systolic pressure is less than or equal to 90mmHg and/or the diastolic pressure is less than or equal to 60mmHg;
blood oxygen saturation (SO 2) XBt is the percentage of the volume of oxyhemoglobin (HbO 2) bound by oxygen in the blood to the volume of total hemoglobin (Hb) bound, i.e. the concentration of blood oxygen in the blood is an important physiological parameter of the respiratory cycle, and monitoring arterial blood oxygen saturation (SaO 2) allows an estimate of the oxygenization and hemoglobin oxygen carrying capacity of the lung; blood oxygen saturation XBt is measured using a finger-worn photoelectric sensor, which is fitted over the patient's finger and light passing through the tissue bed is measured using red light of λ=660 nm and near infrared light of λ=940 nm as the light source for the light injectionIntensity, to calculate hemoglobin concentration and blood oxygen saturation; the blood oxygen saturation of normal human arterial blood is 95-100%, and is considered as blood oxygen saturation (SO 2) in medicine<90% are the criteria for hypoxia;
the blood glucose concentration XTt is a glucose content value measured by extracting venous blood or peripheral blood of a human body at any moment, and is expressed in millimoles per liter (mmol/L), is the most common detection index for diabetes mellitus, and is used for reflecting the beta cell function of pancreatic islet and generally representing the secretion function of basic insulin; normal people have a fasting whole blood glucose concentration of 3.9-6.1 mmol/L, and are called hyperglycemia if the fasting whole blood glucose concentration exceeds 6.1mmol/L, and are called hypoglycemia if the blood glucose concentration is lower than 3.9 mmol/L;
the intelligent transmission device is used for uploading basic information parameters (such as bone age GL and body mass index BMI) of the patient and vital sign parameters (such as body temperature TWt, blood pressure XYt, blood oxygen saturation XBt and blood glucose concentration XTt) of the patient acquired by the patient-side medical acquisition device to the information processing device;
the information processing equipment performs directional data processing on basic information parameters of a patient and vital sign parameters of the patient from the intelligent transmission equipment to obtain a first comprehensive basic evaluation index JCpz of the patient and a second comprehensive vital sign stability coefficient SMwx of the patient, and further performs comprehensive evaluation analysis processing;
wherein, the first patient comprehensive basic evaluation index JCpz correlates each parameter by performing dimensionless treatment on the absolute values of the bone age GL, the body mass index BMI and the standard body mass index BMIs of the patient, and the correlation formula is as follows:
；
wherein, the parameter meaning is: BMIs set at 21.0Kg/m 2 ，Is a bone age influencing factor of 0.38-0%≤0.66，Is a body mass index influencing factor of 0.24-0%C1 is a constant correction coefficient which is less than or equal to 0.51;
the second patient comprehensive vital sign stability coefficient SMwx is obtained by carrying out dimensionless treatment on the patient body temperature stability coefficient TWtx, the blood pressure stability coefficient XYtx, the blood oxygen saturation stability coefficient XBTx and the blood sugar concentration stability coefficient XTtx, and the parameters are related with each other according to the following related formula:
；
wherein, the parameter meaning is:as the body temperature influencing factor,as the blood pressure influencing factor,as the blood oxygen saturation influence factor,is a blood sugar concentration influencing factor, and＞＞＞＞0，=1.73, C2 is a constant correction coefficient;
specifically, the calculation formula of the body temperature stabilizing coefficient TWtx is as follows:
；
wherein, the parameter meaning is: TWs represents standard body temperature, the set value is 36.5 ℃, t represents the number of the body temperature parameters of the patient at different moments, and t=1, 2, 3, 4, … … and n are positive integers;
the calculation formula of the blood pressure stability factor XYtx is as follows:
；
wherein, the parameter meaning is:indicating the ideal systolic pressure of the material,=120mmHg，indicating the ideal systolic pressure of the material,the number of parameters of blood pressure (including systolic pressure and systolic pressure) of a patient at different moments in time is represented by t=80 mmhg, and t=1, 2, 3, 4, … … and n are positive integers;
the calculation formula of the blood oxygen saturation stability coefficient Xbtx is as follows:
；
wherein, the parameter meaning is: XBmax represents maximum blood oxygen saturation, xbmax=100%, t represents the number of blood oxygen saturation parameters of the patient at different times, t=1, 2, 3, 4, … …, n being a positive integer;
the calculation formula of the blood glucose concentration stability factor XTtx is as follows:
；
wherein, the parameter meaning is:represents the normal fasting whole blood glucose maximum value,=6.1mmol/L，represents the normal fasting whole blood glucose minimum value,=3.9 mmol/L, t represents the number of blood glucose concentration parameters at different times, t=1, 2, 3, 4, … …, n being a positive integer;
and further carrying out comprehensive quantification treatment on the first patient comprehensive basic evaluation index JCPz and the second patient comprehensive vital sign stability coefficient SMwx to generate a patient comprehensive evaluation index ZPj, wherein the quantification treatment formula is as follows:
；
wherein q is a constant correction coefficient, and q is more than or equal to 1.18 and less than or equal to 1.56;
and sets the first evaluation threshold as1, setting a second evaluation threshold as2, and1, a step of; when (when)When the patient is in a low risk state, the patient is judged to be in a good health condition and the disease is stable; when (when)When the patient is in a stroke risk state, the patient is judged to be in a stroke risk state, and the patient is poor in health condition and unstable in disease condition; when (when)When the patient is in a high risk state, the patient is judged to be in a poor health condition and unstable illness state;
the remote medical service end selects different remote medical service strategies according to different grade risk states of patients, and specifically:
if the remote medical service end receives and displays that the patient is in a low risk state currently, medical staff takes measures for keeping the current dosage or properly reducing the dosage of the medicine for the patient, but the dosage of the medicine is not lower than the minimum dosage, and normal discharge or early discharge is arranged, and the state of following the diagnosis is kept after discharge;
if the remote medical service end receives and displays that the patient is in a state of risk of stroke, medical staff takes measures for moderately increasing the dosage of the patient, and the dosage of the drug is controlled to be the maximum dosage of safe drugIn the scope, the hospitalization time is prolonged appropriately so as to observe the subsequent disease development of the patient;
if the remote medical service end receives and displays that the patient is in a high risk state currently, medical staff increases the measure of the dosage of the patient, but the dosage of the patient is controlled within the maximum dosage range of safe medication, surgery treatment is combined if necessary, and the hospitalization duration is prolonged appropriately so as to observe the subsequent disease development of the patient.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (2)

1. The remote medical monitoring system based on the internet of things comprises patient-side medical acquisition equipment, intelligent transmission equipment, information processing equipment and a remote medical service side, and is characterized in that the patient-side medical acquisition equipment comprises a patient basic information acquisition module and a patient vital sign acquisition module;
the patient basic information acquisition module is used for acquiring patient basic information parameters including the bone age GL and the body mass index BMI of the patient;
the patient vital sign acquisition module is used for acquiring patient vital sign parameters at different moments, including the body temperature TWt, the blood pressure XYt, the blood oxygen saturation XBt and the blood glucose concentration XTt of the patient at different moments; wherein the blood pressure XYt includes a systolic blood pressure XYSt, a diastolic blood pressure XYFt;
the intelligent transmission equipment is used for uploading the basic information parameters of the patient acquired by the patient-side medical acquisition equipment and vital sign parameters of the patient to the information processing equipment;
the information processing equipment performs directional data processing on basic information parameters of the patient and vital sign parameters of the patient from the intelligent transmission equipment to obtain a first comprehensive basic evaluation index JCpz of the patient and a second comprehensive vital sign stability coefficient SMwx of the patient, and further performs comprehensive evaluation analysis processing to judge different levels of risk states of the patient;
the remote medical service end selects different remote medical service strategies according to different grade risk states of the patient;
the first patient comprehensive basic evaluation index JCpz correlates each parameter by performing dimensionless treatment on the absolute values of the bone age GL, the body mass index BMI and the standard body mass index BMIs of the patient, and the correlation formula is as follows:
；
wherein, the parameter meaning is: BMIs set at 21.0Kg/m 2 ，Is bone age influencing factor, 0.38 +.>≤0.66，/>Is of body weightAn index influencing factor of 0.24 +.>C1 is a constant correction coefficient which is less than or equal to 0.51;
the body temperature stability factor TWtx is calculated by the body temperature TWt of the patient at different moments, and the calculation formula is as follows:
；
wherein, the parameter meaning is: TWs stands for standard body temperature, which is set at 36.5 ℃, t 1 Number, t, representing patient temperature parameters at different times 1 =1, 2, 3, 4, … …, n being a positive integer;
the blood pressure stability factor XYtx is calculated by the systolic pressure XYSt and the diastolic pressure XYFt of the patient at different moments, and the calculation formula is as follows:
；
wherein, the parameter meaning is:indicating ideal systolic blood pressure->=120mmHg，/>Represents the ideal diastolic blood pressure of the patient,=80mmHg，t 2 number, t, representing systolic pressure and systolic pressure parameters of the patient at different moments 2 =1, 2, 3, 4, … …, n being a positive integer;
the blood oxygen saturation stability coefficient XBTx is calculated through the blood oxygen saturation XBt of the patient at different moments, and the calculation formula is as follows:
；
wherein, the parameter meaning is: XBmax represents maximum oxygen saturation, xbmax=100%, t 3 Number, t, representing patient blood oxygen saturation parameters at different moments 3 =1, 2, 3, 4, … …, n being a positive integer;
the blood glucose concentration stability factor XTtx was calculated from the blood glucose concentrations XTt of the patients at different times, as follows:
；
wherein, the parameter meaning is:indicating normal fasting whole blood glucose maximum, +.>=6.1mmol/L，Represents the normal fasting whole blood glucose minimum value, < ->=3.9mmol/L，t 4 Number, t, representing blood glucose concentration parameter at different moments 4 =1, 2, 3, 4, … …, n being a positive integer;
the second patient comprehensive vital sign stability coefficient SMwx is obtained by carrying out dimensionless treatment on the patient body temperature stability coefficient TWtx, the blood pressure stability coefficient XYtx, the blood oxygen saturation stability coefficient XBTx and the blood sugar concentration stability coefficient XTtx, and the parameters are related with each other according to the following related formula:
；
wherein, the parameter meaning is:for body temperature influencing factor>Is a blood pressure affecting factor, is->As the blood oxygen saturation influence factor,is the blood sugar concentration influencing factor, and->＞/>＞/>＞/>＞0，/>=1.73, C2 is a constant correction coefficient;
and further carrying out comprehensive evaluation analysis processing to judge the risk states of different grades of patients, wherein the risk states are specifically as follows: the first patient comprehensive basic evaluation index JCpz and the second patient comprehensive vital sign stability coefficient SMwx are subjected to comprehensive quantification treatment to generate a patient comprehensive evaluation index ZPj, wherein the quantification treatment formula is as follows:
；
wherein q is a constant correction coefficient, and q is more than or equal to 1.18 and less than or equal to 1.56;
and set the first evaluation threshold to Y1, setting a second evaluation threshold to YZPj2, and +.>1, a step of; when (when)When the patient is in a low risk state, the patient is judged to be in a good health condition and the disease is stable; when (when)When the patient is in a stroke risk state, the patient is judged to be in a stroke risk state, and the patient is poor in health condition and unstable in disease condition; when->And when the patient is in a high risk state, the patient is judged to be in a poor health condition and unstable illness state.
2. The telemedicine monitoring system based on the internet of things according to claim 1, wherein the telemedicine service end selects different telemedicine service strategies according to different grade risk states of patients, specifically:
if the remote medical service end receives and displays that the patient is in a low risk state currently, medical staff takes measures for keeping the current dosage or properly reducing the dosage of the medicine for the patient, but the dosage of the medicine is not lower than the minimum dosage, and normal discharge or early discharge is arranged, and the state of following the diagnosis is kept after discharge;
if the remote medical service end receives and displays that the patient is in a state of risk of stroke, medical staff takes measures for moderately increasing the dosage of the patient, and the dosage of the drug is controlled to be the maximum dosage of safe drugWithin the scope and properly prolong the hospitalization time to observe the subsequent illness state of the patientDisplaying;
if the remote medical service end receives and displays that the patient is in a high risk state currently, medical staff increases the measure of the dosage of the patient, but the dosage is controlled within the maximum dosage range of safe medication, and the hospitalization duration is prolonged appropriately so as to observe the subsequent disease development of the patient.
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