CN116072310A - Intelligent edge computing system applied to medical health service - Google Patents
Intelligent edge computing system applied to medical health service Download PDFInfo
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- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
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- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
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Abstract
The invention provides an intelligent edge computing system applied to medical health service, which comprises a monitoring module, a communication module and a control center, wherein the monitoring module is used for monitoring medical health information of a patient, the communication module is used for transmitting the medical health information of the patient of the monitoring module to the control center, the control center comprises an intelligent edge computing module, the intelligent edge computing module is used for analyzing medical health information data, and the control center is used for receiving the medical health information and making relevant response according to a data analysis result of the intelligent edge computing module; the invention can intelligently judge whether the patient has health hidden trouble according to the physiological state of the patient, and medical staff can discover the position of the patient to be treated and the physical state of the patient and take relevant rescue measures through the system for the first time.
Description
Technical Field
The invention relates to the field of medical health services, in particular to an intelligent edge computing system applied to medical health services.
Background
Medical services are relevant to folk life, but are currently thrown to the problems of uneven medical resources, insufficient health and endowment resources, and today, IT departments of many medical institutions are suffering from data storage and network speed. The doctor diagnoses the patient to help the patient get rid of the dilemma, the treatment process needs to be well managed, the medical informatization is realized based on the basic technologies such as MEC, the Internet of things and the like, and the medical efficiency can be greatly improved; the intelligent medical treatment utilizes new generation information technology products such as the Internet of things, cloud computing, edge computing, big data, intelligent hardware and the like, can realize effective butt joint and optimal configuration of hospitals, individuals, families, communities, institutions and health resources, promotes intelligent upgrading of medical service, and improves the medical service quality and efficiency level.
Referring to the related disclosed technical scheme, for example, CN208973860U discloses a medical monitoring system in the prior art, a gesture sensor worn on the wrist by a patient for acquiring movement information of the wrist, and a data processing module for communicating with the gesture sensor and processing the movement information to obtain movement track of the wrist; the analysis module is connected with the data processing module and processes the wrist movement track to obtain the requirement of a patient; a recording module for recording the patient demand data; a display module for displaying the patient's needs; the voice prompt module for prompting the medical staff can transmit the requirements of the patient in real time, reliably, safely and rapidly, is lighter, does not need great movement of the patient, and can prevent the condition that the patient needs are missed due to negligence of the medical staff; another typical medical monitoring system and monitoring method disclosed in the prior art with the publication number CN103393413a comprises a collecting device, a computer and a monitoring center, wherein the collecting device is used for measuring and recording relevant physiological parameters of a monitored person, the collecting device is communicated with the computer in a wireless or wired mode, the computer is communicated with the monitoring center through the internet, the monitoring center is used for analyzing the relevant physiological parameters to obtain a first analysis result of whether an alarm needs to be performed, and the alarm is performed when the first analysis result shows that the alarm needs to be performed; because of the uncertainty of sudden adverse conditions of the physical state of the patient, the hospital needs to know the physical state information of the patient and emergency treatment of the patient in the case that the physical state of the patient is uncomfortable at the first time.
Disclosure of Invention
The invention aims at providing an intelligent edge computing system applied to medical health services aiming at the defects existing at present.
The invention adopts the following technical scheme:
the intelligent edge computing system comprises a monitoring module, a communication module and a control center, wherein the monitoring module is used for monitoring medical health information of a patient, the communication module is used for transmitting the medical health information of the patient of the monitoring module to the control center, the control center comprises an intelligent edge computing module, the intelligent edge computing module is used for analyzing medical health information data, and the control center is used for receiving the medical health information and responding correspondingly according to a data analysis result of the intelligent edge computing module;
further, the monitoring module comprises a plurality of wearable monitoring devices, the number of the wearable monitoring devices is consistent with the number of patients to be monitored, the wearable monitoring devices comprise physiological characteristic sensing units, position sensing units and communication units, the physiological characteristic sensing units are used for monitoring physiological characteristic information of the patients, the position sensing units are used for monitoring position information of the patients, and the monitoring module is communicated with the control center through the communication modules;
further, the communication module comprises a 5G base station and a UPF connection anchor point which are arranged in a hospital, and the communication module is connected with the control center through the UPF connection anchor point to realize local network communication;
further, the patient medical health information comprises personal input information, physiological characteristic information and position information, wherein the personal input information comprises identity information and admission surgery treatment information of a plurality of patients corresponding to a plurality of wearable monitoring devices, and the physiological characteristic information comprises heart rate, body temperature, blood pressure and breathing information of the patients; the intelligent edge calculation module sets a first detection time period, a second detection time period and a health function, and generates a relevant alarm signal according to comparison of the health function and a threshold value in the detection time, and the specific mode is as follows:
wherein f (u) is a health function, Δt is a first detection time period, nΔt is a second detection time period, the second detection time period is far greater than the first detection time period, the second detection time period includes the first detection time period, range1 is a first threshold value, and range2 is a second threshold value;
further, the health function satisfies:
f(u)＝|x 1 -x 2 α|β 1 +(|y 1 -y 2 |+|y′ 1 -y′ 2 |)β 2 +|z 1 -z 2 |β 3 +|k 1 -k 2 |β 4 ；
wherein x is 1 For heart rate of patient x 2 Is the standard heart rate, alpha is the age correction factor, beta 1 For heart rate correction index, y 1 For patient diastolic pressure, y 2 Is the standard diastolic blood pressure, y' 1 For patient systolic blood pressure, y' 2 Is standard systolic blood pressure beta 2 For correcting blood pressure, z 1 For patient respiratory rate, z 2 For standard respiratory rate beta 3 To correct the index, k for respiration 1 For patient body temperature, k 2 Is standard body temperature beta 4 Correcting an index for body temperature;
further, the age correction factor α satisfies:
wherein m is the age of the patient;
further, the control center further comprises a storage module and an alarm module, the storage module is used for storing medical health information of a patient and data analysis results of the intelligent edge calculation module, the alarm module is used for receiving alarm signals of the intelligent edge calculation module, the alarm module transmits position information of the patient corresponding to the first alarm signals and urgent patient care information to a user of the control center when receiving the first alarm signals, and the alarm module transmits important patient monitoring information to the user of the control center when receiving the second alarm signals.
The beneficial effects obtained by the invention are as follows:
the physical state information of the patient is monitored through the monitoring module, so that the real-time physical state condition of the patient is known, local communication is realized through connection between a 5G base station and a UPF anchor point which are arranged in a hospital and a control center, transmission information is not required to be transmitted to a core network cloud through access and aggregation, the transmission path is greatly shortened, and the transmission delay is reduced; the intelligent edge calculation module is used for analyzing the medical health information of the patient and sending out corresponding alarm signals, and medical staff can know the physical state of the patient and take relevant rescue measures at the first time according to the relevant alarm information of the alarm module.
For a further understanding of the nature and the technical aspects of the present invention, reference should be made to the following detailed description of the invention and the accompanying drawings, which are provided for purposes of reference only and are not intended to limit the invention.
Drawings
FIG. 1 is a schematic diagram of an overall module frame of the present invention;
FIG. 2 is a schematic diagram of an internal module of a control center of the present invention;
FIG. 3 is a schematic diagram of the overall structural framework of the present invention;
FIG. 4 is a flow chart of the present invention for monitoring patient status.
The meaning of the symbols in the figures is as follows: 1-wearable monitoring equipment, 2-5G basic station, 3-control center.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the following examples thereof; it should be understood that the detailed description and specific examples, while indicating the invention, are intended for purposes of illustration only and are not intended to limit the invention; other systems, methods, and/or features of the present embodiments will be or become apparent to one with skill in the art upon examination of the following detailed description; it is intended that all such additional systems, methods, features and advantages be included within this description; included within the scope of the invention and protected by the accompanying claims; additional features of the disclosed embodiments are described in, and will be apparent from, the following detailed description.
The same or similar reference numbers in the drawings of embodiments of the invention correspond to the same or similar components; in the description of the present invention, it should be understood that, if there is an azimuth or positional relationship indicated by terms such as "upper", "lower", "left", "right", etc., based on the azimuth or positional relationship shown in the drawings, it is only for convenience of describing the present invention and simplifying the description, but it is not indicated or implied that the apparatus or component referred to must have a specific azimuth, construction and operation in which the term is described in the drawings is merely illustrative, and it is not to be construed that the term is limited to the patent, and specific meanings of the term may be understood by those skilled in the art according to specific circumstances.
Embodiment one.
As shown in fig. 1, 2, 3 and 4, the present embodiment provides an intelligent edge computing system applied to medical health services, which includes a monitoring module, a communication module and a control center, wherein the monitoring module is used for monitoring medical health information of a patient, the communication module is used for transmitting the medical health information of the patient of the monitoring module to the control center, the control center includes an intelligent edge computing module, the intelligent edge computing module is used for analyzing medical health information data, and the control center is used for receiving the medical health information and responding correspondingly according to a data analysis result of the intelligent edge computing module;
the monitoring module comprises a plurality of wearable monitoring devices, the number of the wearable monitoring devices is consistent with the number of patients to be monitored, the wearable monitoring devices comprise physiological characteristic sensing units, position sensing units and communication units, the physiological characteristic sensing units are used for monitoring physiological characteristic information of the patients, the position sensing units are used for monitoring position information of the patients, and the monitoring module is communicated with the control center through the communication modules;
the communication module comprises a 5G base station and a UPF connection anchor point which are arranged in a hospital, and is connected with the control center through the UPF connection anchor point to realize local network communication;
the patient medical health information comprises personal input information, physiological characteristic information and position information, wherein the personal input information comprises identity information and admission surgery treatment information of a plurality of patients corresponding to a plurality of wearable monitoring devices, and the physiological characteristic information comprises heart rate, body temperature, blood pressure and breathing information of the patients; the intelligent edge calculation module sets a first detection time period, a second detection time period and a health function, and generates a relevant alarm signal according to comparison of the health function and a threshold value in the detection time, and the specific mode is as follows:
wherein f (u) is a health function, Δt is a first detection time period, nΔt is a second detection time period, the second detection time period is far greater than the first detection time period, the second detection time period includes the first detection time period, range1 is a first threshold value, and range2 is a second threshold value;
in this embodiment, the control center user may modify the first threshold range1 according to the actual situation through the control center, and in this embodiment, set range 2=0.8n×range1;
the health function satisfies:
f(u)＝|x 1 -x 2 a|β 1 +(|y 1 -y 2 |+|y′ 1 -y′ 2 |)β 2 +|z 1 -z 2 |β 3 +|k 1 -k 2 |β 4 ；
wherein x is 1 For heart rate of patient x 2 Is the standard heart rate, alpha is the age correction factor, beta 1 For heart rate correction index, y 1 For patient diastolic pressure, y 2 Is the standard diastolic blood pressure, y' 1 For patient systolic blood pressure, y' 2 Is standard systolic blood pressure beta 2 For correcting blood pressure, z 1 For patient respiratory rate, z 2 For standard respiratory rate beta 3 To correct the index, k for respiration 1 For patient body temperature, k 2 Is standard body temperature beta 4 Correcting an index for body temperature;
preferably, physiological characteristic information measured in the health state of the patient is used as standard physiological characteristic information in the embodiment, and the standard physiological characteristic information includes a standard heart rate, a standard blood pressure, a standard respiratory rate and a standard body temperature, and the standard physiological characteristic information values satisfy the following conditions: x is x 2 ＝80，y 2 ＝80，y′ 2 ＝110，z 2 ＝16，k 2 ＝36.5；
The heart rate correction index, the blood pressure correction index, the respiration correction index and the body temperature correction index calculate a plurality of index gears through the control center according to the identity information of the patient and the hospitalization operation treatment information, wherein the identity information of the patient comprises the age, the sex, the height and the weight of the patient, and the hospitalization operation treatment information of the patient comprises the disease type of the patient and the days after operation; the medical staff can select proper index gear in the man-machine interaction interface of the control center according to the influence degree of various physiological characteristic indexes of the medical staff on the health of the patient, and the preferable index gear in the embodiment is as follows: beta 1 ＝0.1，β 2 ＝0.02，β 3 ＝0.25，β 4 ＝2；
The age correction factor α satisfies:
wherein m is the age of the patient;
the control center further comprises a storage module and an alarm module, wherein the storage module is used for storing medical health information of a patient and data analysis results of the intelligent edge calculation module, the alarm module is used for receiving alarm signals of the intelligent edge calculation module, the alarm module transmits position information of the patient corresponding to the first alarm signals and urgent patient care information to a control center user when receiving the first alarm signals, and the alarm module transmits important patient monitoring information to the control center user when receiving the second alarm signals.
According to the embodiment, local connection is realized through a UPF anchor point in the communication module and a server deployed in the control center, the transmission delay of medical health information data is reduced, each physiological characteristic index of a patient is analyzed through the intelligent edge calculation module to obtain a health function, the physiological state of the patient is analyzed according to the health function, and a relevant alarm signal is sent out so that a user of the control center can respond in time.
Embodiment two.
This embodiment should be understood to include at least all of the features of any one of the foregoing embodiments, and be further modified based thereon;
the embodiment provides an intelligent edge computing system applied to medical health service, which comprises a monitoring module, a communication module and a control center, wherein the monitoring module is used for monitoring medical health information of a patient, the communication module is used for transmitting the medical health information of the patient of the monitoring module to the control center, the control center comprises an intelligent edge computing module, the intelligent edge computing module is used for analyzing medical health information data, and the control center is used for receiving the medical health information and making relevant response according to a data analysis result of the intelligent edge computing module;
the monitoring module comprises a plurality of wearable monitoring devices, the number of the wearable monitoring devices is consistent with the number of patients to be monitored, the wearable monitoring devices comprise physiological characteristic sensing units, position sensing units and communication units, the physiological characteristic sensing units are used for monitoring physiological characteristic information of the patients, the position sensing units are used for monitoring position information of the patients, and the monitoring module is communicated with the control center through the communication modules;
the control center also comprises a positioning module, wherein the positioning module comprises an electronic map unit arranged according to the topographic structure of the hospital, and the position information of the patient perceived by the position perception unit is coordinate information of an electronic map where the patient is located;
in this embodiment, the electronic map unit is provided with a patient activity area, and when the coordinate information of the patient is not in the patient activity area, the positioning module generates a third alarm signal and transmits the third alarm signal to the alarm module, and the alarm module transmits the patient lost information and the patient position information to the control center user when receiving the third alarm signal.
According to the embodiment, the position of the patient is detected through the position sensing unit, the movable area is arranged in the positioning module, and when the patient leaves the movable area, a relevant alarm signal is sent to the user, so that the occurrence of accidental risks and disease infection caused by the loss of the patient is prevented.
The foregoing disclosure is only a preferred embodiment of the present invention and is not intended to limit the scope of the invention, so that all equivalent technical changes made by applying the description of the present invention and the accompanying drawings are included in the scope of the present invention, and in addition, elements in the present invention can be updated as the technology develops.
Claims (6)
1. The intelligent edge computing system comprises a monitoring module, a communication module and a control center, wherein the monitoring module is used for monitoring medical health information of a patient, the communication module is used for transmitting the medical health information of the patient of the monitoring module to the control center, the control center comprises an intelligent edge computing module, the intelligent edge computing module is used for analyzing medical health information data, and the control center is used for receiving the medical health information and responding correspondingly according to a data analysis result of the intelligent edge computing module;
the monitoring module comprises a plurality of wearable monitoring devices, the number of the wearable monitoring devices is consistent with the number of patients to be monitored, the wearable monitoring devices comprise physiological characteristic sensing units, position sensing units and communication units, the physiological characteristic sensing units are used for monitoring physiological characteristic information of the patients, the position sensing units are used for monitoring position information of the patients, and the monitoring module is communicated with the control center through the communication modules;
the communication module comprises a 5G base station and a UPF connection anchor point which are arranged in a hospital, and the communication module is connected with the control center through the UPF connection anchor point to realize local network communication.
2. The intelligent edge computing system for medical health services of claim 1, wherein the patient medical health information comprises personal entry information, physiological characteristic information and location information, the personal entry information comprises identity information and admission surgery treatment information of a plurality of patients corresponding to a plurality of wearable monitoring devices, and the physiological characteristic information comprises heart rate, body temperature, blood pressure and breathing information of the patients.
3. The intelligent edge computing system for medical health services according to claim 2, wherein the intelligent edge computing module sets a first detection time period, a second detection time period and a health function, and generates a relevant alarm signal according to a comparison of the health function and a threshold value in the detection time, in a specific manner that:
wherein f (u) is a health function, Δt is a first detection time period, nΔt is a second detection time period, the second detection time period is far greater than the first detection time period, the second detection time period includes the first detection time period, range1 is a first threshold, and range2 is a second threshold.
4. A smart edge computing system for use with medical health services as claimed in claim 3, wherein the health function satisfies:
f(u)＝|x 1 -x 2 α|β 1 +(|y 1 -y 2 |+|y′ 1 -y′ 2 |)β 2 +|z 1 -z 2 |β 3 +|k 1 -k 2 |β 4 ；
wherein x is 1 For heart rate of patient x 2 Is the standard heart rate, alpha is the age correction factor, beta 1 For heart rate correction index, y 1 For patient diastolic pressure, y 2 Is the standard diastolic blood pressure, y' 1 For patient systolic blood pressure, y' 2 Is standard systolic blood pressure beta 2 For correcting blood pressure, z 1 For patient respiratory rate, z 2 For standard respiratory rate beta 3 To correct the index, k for respiration 1 For patient body temperature, k 2 Is standard body temperature beta 4 The index is corrected for body temperature.
5. The intelligent edge computing system for medical health services according to claim 4, wherein the age correction factor α satisfies:
wherein m is the age of the patient.
6. The intelligent edge computing system for medical health services according to claim 5, wherein the control center further comprises a storage module and an alarm module, the storage module is used for storing medical health information of patients and data analysis results of the intelligent edge computing module, the alarm module is used for receiving alarm signals of the intelligent edge computing module, the alarm module is used for transmitting position information of patients corresponding to the first alarm signals and urgent patient care information to a user of the control center when receiving the first alarm signals, and the alarm module is used for transmitting important patient monitoring information to the user of the control center when receiving the second alarm signals.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117098166A (en) * | 2023-10-20 | 2023-11-21 | 深圳曼瑞德科技有限公司 | Operation monitoring system of wrist type monitoring equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117098166A (en) * | 2023-10-20 | 2023-11-21 | 深圳曼瑞德科技有限公司 | Operation monitoring system of wrist type monitoring equipment |
| CN117098166B (en) * | 2023-10-20 | 2024-01-30 | 深圳曼瑞德科技有限公司 | Operation monitoring system of wrist type monitoring equipment |
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