CN111009317B - Neurosurgery ward intelligent monitoring system based on Internet of things - Google Patents

Neurosurgery ward intelligent monitoring system based on Internet of things Download PDF

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CN111009317B
CN111009317B CN202010020297.3A CN202010020297A CN111009317B CN 111009317 B CN111009317 B CN 111009317B CN 202010020297 A CN202010020297 A CN 202010020297A CN 111009317 B CN111009317 B CN 111009317B
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under guardianship
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CN111009317A (en
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王贺
刘凯利
修超
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Beihua University
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT 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
    • G16H40/20ICT 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
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT 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
    • G16H40/60ICT 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
    • G16H40/67ICT 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 for remote operation
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H80/00ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/52Network services specially adapted for the location of the user terminal
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

The invention provides an intelligent monitoring system of a neurosurgery monitoring room based on the Internet of things, which can classify and judge the health data information of a person under guardianship by contrasting historical health data of the person under guardianship and adult standard health data according to data information acquired by a data acquisition module; the physiological parameter information of the person under guardianship is classified according to the emergency condition or not, and the medical personnel is helped to preliminarily classify and sort the information, so that the monitoring efficiency is improved, and the condition of the person under guardianship can be timely processed; the invention has a remote commanding system which can uniformly process the conditions of different people under guardianship, a GPS positioning system is arranged on a remote information display processing device which can be carried by medical personnel, and when the commanding system detects that the positioning data of the GPS positioning system is in front of the bed of the person under guardianship, the commanding system remotely guides the display to display the slight data information abnormal data of the person under guardianship through the Internet of things.

Description

Intelligent monitoring system of neurosurgery monitoring room based on Internet of things
Technical Field
The invention belongs to the field of monitoring equipment, and particularly relates to an intelligent monitoring system of a neurosurgery monitoring room based on the Internet of things.
Background
The neurosurgery intensive care unit is a special treatment and nursing ward specially used for treating the critical and serious patients in the central nervous system surgery. The ICU is provided with a central monitoring station for directly observing all monitored sickbeds, and the equipment of the ICU must be provided with a bedside monitor, a central monitor, a multifunctional respiratory therapy machine, an anesthesia machine, an electrocardiograph, a defibrillator, a pacemaker, an infusion pump, a micro-injector, an oxygen inhalation device in a standby state, a tracheal cannula and first-aid equipment required for tracheotomy. In hospitals with better conditions, a blood gas analyzer, a microcomputer, an electroencephalograph, a B ultrasonic machine, a bedside X-ray machine, a hemodialyzer, an intra-arterial air bag counterpulsator, a hematuria conventional analyzer, a blood biochemical analyzer and the like are also arranged, a neurosurgical intensive care unit needs to concentrate the manpower and material resources of neurosurgery, carries out unified monitoring, treatment and nursing on critical patients, simultaneously carries out all-weather tight monitoring on the patients by utilizing various modern equipment and advanced treatment means, and provides systematic, normative and high-quality life support in time through effective intervention measures so as to improve the survival rate of the critical patients.
The application with the application number of CN201811548942.8 discloses an unmanned intelligent monitoring system, which comprises an intelligent monitoring trolley capable of tracking a monitored target in real time, and is used for browsing remote video data in real time through a collected video data stream arranged on the intelligent monitoring trolley to realize abnormal alarm and visual remote monitoring; the unmanned intelligent monitoring system realizes integration of remote visual monitoring and intelligent monitoring, but only provides monitoring data information in the field of monitoring equipment instead of integrating the monitoring data information, often causes that the abnormity of a person under guardianship cannot be found in advance and medical care personnel cannot be helped to make prejudgment in advance, and cannot save medical resources to a certain extent.
The application document with the application number of CN201710153173.0 discloses a health monitoring service method based on the Internet of things, health collected information is processed and integrated through a cooperative host to obtain cross-classification collected information, a cooperative host system can also perform risk assessment and emergency identification analysis on historical health data and real-time health data, and health monitoring information is established, so that personalized monitoring service can be realized; although the monitoring service can monitor the health information in real time and judge the behavior abnormity and the health data of the monitored person according to the monitoring information, the monitoring service cannot perform corresponding health care operation on the monitored person in real time according to the obtained health information, only plays a role in reminding and cannot perform corresponding operation intelligently.
The existing monitoring equipment has low intelligent degree, can not remotely integrate and classify monitoring data information, but simply stores and simply processes the information in front of medical care personnel, the medical care personnel need to waste a large amount of time to excavate in a data information base to obtain effective information, and then utilizes self medical knowledge to carry out operation processing, and the monitoring system does not bring convenience to the medical care personnel to a certain extent and also wastes medical resources; and present guardianship equipment can not carry out thing networking remote control, and the monitor systems such as command system and rhythm of the heart, electroencephalogram all set up still can lead to guardianship room space in the scene of doctorsing and nurses mixed and disorderly, wastes computer processing resource simultaneously.
Disclosure of Invention
The invention overcomes the defects and provides an intelligent monitoring system of a neurosurgical care room based on the Internet of things, the intelligent monitoring system can classify and judge the health data information of a person under guardianship according to the data information acquired by a data acquisition module and by contrasting historical health data of the person under guardianship and adult standard health data, when the person under guardianship has abnormal important data information such as electroencephalogram, electrocardiogram and the like, the important data information of the person under guardianship is generated to a command system, and the command system directly puts the abnormal data of the important data information on the top and transmits the abnormal data to medical care personnel; when the common data information of the monitored person is abnormal, such as respiratory data, arterial pacing data and the like, the common data information of the monitored person is sent to a command system, the command system processes and integrates the abnormal data of the common data information of the monitored person and transmits a guide signal to a respiratory asynchronous regulating system, the abnormal data of the common data information of the monitored person is adaptively regulated, and after a period of time, if the abnormal data of the common data information is not regulated normally, the command system directly transmits the abnormal data of the common data information to medical personnel; when slight data information such as body fluid data, hematuria dialysis data and the like of the person under guardianship is abnormal, the slight data information abnormality of the person under guardianship is generated to the commanding system, the commanding system stores the slight data information abnormality data, and the commanding system displays the slight data information abnormality data through the display screen when medical personnel are positioned in front of the sickbed.
The utility model provides a neurosurgery ward intelligence monitor system based on thing networking, includes that the telematic information that physiological data detector, command system, medical personnel can hand-carry shows processing apparatus and display, its characterized in that: the physiological data detector comprises a plurality of data acquisition modules, a wireless ZigBee data transmission module, a data interaction module and a display, wherein the data acquisition modules are used for acquiring various physiological data information of a person under guardianship; the command system comprises a data processing and classifying control system, a command system data transmission module, an abnormal data adjusting system and a data storage module, wherein historical health data and adult standard health data of a person under guardianship are stored in the data storage module and are used for guiding the data processing and classifying control system to classify various physiological data information of the person under guardianship, when the important data information of the person under guardianship is abnormal, the important data information of the person under guardianship is sent to the command system, and the command system directly pushes up the abnormal data of the important data information and transmits the abnormal data to medical personnel; when the common data information of the person under guardianship is abnormal, the common data information of the person under guardianship is sent to a command system, the command system processes and integrates the abnormal data of the common data information of the person under guardianship and transmits a guide signal to a regulating system, the abnormal data of the common data information of the person under guardianship is regulated adaptively, and after a period of time, if the abnormal data of the common data information is not regulated normally, the command system 2 directly transmits the abnormal data of the common data information to medical personnel; when the slight data information of the person under guardianship is abnormal, the slight data information abnormality of the person under guardianship is sent to the command system, and the command system stores the abnormal data of the slight data information.
Preferably, the remote information display processing device that the medical staff can carry with is cell-phone or wearable device.
Preferably, the command system can be connected with a plurality of physiological data detectors of different people under guardianship through the internet of things, and transmits the physiological data information of the different people under guardianship, which is monitored by the physiological data detectors of the different people under guardianship, to the remote information display processing device in a grading manner.
Preferably, the remote information display processing device which can be carried by medical personnel is provided with a GPS (global positioning system), and when the commanding system detects that the positioning data of the GPS is in front of the bed of the person under guardianship, the commanding system remotely guides the display to display the slight data information abnormal data of the person under guardianship through the Internet of things.
Preferably, the important data information classified in the data processing classification control system includes electroencephalogram and electrocardiogram information of a person under guardianship.
Preferably, the general data information classified in the data processing classification control system includes respiratory data and arterial pacing data.
Preferably, the regulation system comprises a breathing asynchronous regulation system and an infusion pump regulation system.
Preferably, the asynchronous respiration adjusting system further comprises a breathing machine and a real-time data processing module, a breathing basic model generated by important breathing parameters of the person under guardianship is stored in the real-time data processing module in advance, the command system can conduct all real-time breathing data information of the person under guardianship to the real-time data processing module, the real-time data processing module generates a real-time breathing model according to the important breathing parameters in the real-time breathing data information of the person under guardianship, the real-time breathing model and the breathing basic model are subjected to cross calculation to obtain important breathing parameter correction values, and the asynchronous respiration adjusting system adjusts important breathing parameters such as breathing frequency, inspiration capacity and expiration capacity of the breathing machine according to the important breathing parameter correction values to adaptively adjust asynchronous respiration of the person under guardianship.
Preferably, the light data information classified in the data processing classification control system includes body fluid data and hematuria dialysis data.
Preferably, the data processing and classifying control system of the command system is respectively provided with important data information, common data information and physiological data information thresholds of various monitored persons in the light data information, and when the physiological data detector detects that the physiological data information of the monitored person exceeds the preset physiological data information threshold of the monitored person, the command system can control to directly alarm the remote information display processing device.
The intelligent monitoring system of the neurosurgery monitoring room based on the Internet of things has the beneficial effects that:
(1) Compared with the existing monitoring equipment, the intelligent degree is lower, the monitoring data information cannot be remotely integrated and classified, medical care personnel need to waste a large amount of time to dig in a data information base to obtain effective information, the problems of inconvenience brought to the medical care personnel and waste of medical resources are improved, and the intelligent monitoring system for the neurosurgery guardianship room is provided, can monitor the physiological parameter information of a person under guardianship, can make preliminary judgment according to the actual condition of the person under guardianship, can classify the physiological parameter information of the person under guardianship according to the emergency condition or not, helps the medical care personnel to preliminarily classify the information, improves the monitoring efficiency, and can timely treat the condition of the person under guardianship;
(2) The remote control system adopts the remote control of the Internet of things, has a remote command system which can uniformly process the conditions of different people under guardianship, can not cause the problems of too much disorder of computer instruments in a guardianship chamber, difficult disinfection treatment and the like when the remote command system is placed in a central control chamber, and is provided with a GPS positioning system on a remote information display processing device which can be carried by medical personnel.
Drawings
FIG. 1 is a schematic diagram of a partial structure of an intelligent monitoring system according to the present invention;
FIG. 2 is a schematic diagram of a command system for an intelligent monitoring system according to the present invention;
FIG. 3 is a schematic diagram of a control process of the intelligent monitoring system of the present invention.
Detailed Description
The intelligent monitoring system of the neurosurgical monitoring room based on the internet of things is specifically described in the following with reference to fig. 1 to 3.
Example 1
An intelligent monitoring system of a neurosurgical guardianship room based on the Internet of things comprises a physiological data detector 1, a command system 2, a remote information display processing device 3 and a display 4, wherein medical staff can carry about the remote information display processing device, the physiological data detector 1 comprises a plurality of data acquisition modules 101 used for acquiring various physiological data information of a person under guardianship, a wireless ZigBee data transmission module 102 used for transmitting various physiological data information of the person under guardianship to the command system 2, and a data interaction module 103 used for transmitting various physiological data information of the person under guardianship to the display 4; the command system 2 comprises a data processing and classifying control system 201, a command system data transmission module 202, an abnormal data adjusting system 203 and a data storage module 204, historical health data and adult standard health data of a person under guardianship are stored in the data storage module 204 and are used for guiding the data processing and classifying control system 201 to classify various physiological data information of the person under guardianship, when the important data information of the person under guardianship is abnormal, the important data information of the person under guardianship is generated to the command system 2, and the command system 2 directly pushes up the abnormal data of the important data information to be transmitted to medical personnel; when the common data information of the person under guardianship is abnormal, the common data information of the person under guardianship is sent to the command system 2, the command system 2 processes and integrates the abnormal data of the common data information of the person under guardianship and transmits a guide signal to the regulating system, the abnormal data of the common data information of the person under guardianship is regulated adaptively, and after a period of time, if the abnormal data of the common data information is not regulated normally, the command system 2 directly transmits the abnormal data of the common data information to medical personnel; when the slight data information of the person under guardianship is abnormal, the slight data information of the person under guardianship is abnormal and is sent to the command system 2, and the command system 2 stores the abnormal data of the slight data information.
Preferably, the remote information display processing device 3 that the medical staff can carry with is a mobile phone or a wearable device.
Preferably, the command system 2 may be connected to a plurality of physiological data detectors 1 of different people under guardianship through the internet of things, and transmit the physiological data information of the different people under guardianship, which is monitored by the physiological data detectors 1 of the different people under guardianship, to the remote information display processing device 3 in a hierarchical manner.
Preferably, the remote information display processing device 3 that medical personnel can carry on has a GPS positioning system, and when the command system 2 detects that the positioning data of the GPS positioning system is in front of the bed of the person under guardianship, the command system 2 remotely guides the display 4 through the Internet of things to display the slight data information abnormal data of the person under guardianship.
Preferably, the important data information classified in the data processing and classification control system 201 includes electroencephalogram and electrocardiogram information of a person under guardianship.
Preferably, the general data information classified in the data processing classification control system 201 includes respiratory data and arterial pacing data.
Preferably, the regulating system comprises a breathing asynchronous regulating system and an infusion pump regulating system.
Preferably, the asynchronous respiration regulation system further comprises a breathing machine and a real-time data processing module, a respiration basic model generated by important respiration parameters of the person under guardianship is stored in the real-time data processing module in advance, the command system 2 can transmit all real-time respiration data information of the person under guardianship to the real-time data processing module, the real-time data processing module generates a real-time respiration model according to the important respiration parameters in the real-time respiration data information of the person under guardianship, the real-time respiration model and the respiration basic model are subjected to cross calculation to obtain important respiration parameter correction values, and the asynchronous respiration regulation system regulates respiration important parameters such as respiration frequency, inspiration amount and expiration amount of the breathing machine according to the important respiration parameter correction values to perform adaptive regulation on the asynchronization of the person under guardianship.
Preferably, the light data information classified in the data processing classification control system 201 includes body fluid data and hemodialysis data.
Preferably, the data processing and classification control system 201 of the command system 2 is respectively provided with important data information, normal data information and physiological data information thresholds of various monitored persons in the light data information, and when the physiological data detector 1 detects that the physiological data information of the monitored person exceeds the preset physiological data information threshold of the monitored person, the command system 2 can control to directly alarm the remote information display processing device 3.
Compared with the existing monitoring equipment, the intelligent degree is lower, the monitoring data information cannot be remotely integrated and classified, medical care personnel need to waste a large amount of time to dig in a data information base to obtain effective information, the problems of inconvenience brought to the medical care personnel and waste of medical resources are improved, and the intelligent monitoring system for the neurosurgery guardianship room is provided, can monitor the physiological parameter information of a person under guardianship, can make preliminary judgment according to the actual condition of the person under guardianship, can classify the physiological parameter information of the person under guardianship according to the emergency condition or not, helps the medical care personnel to preliminarily classify the information, improves the monitoring efficiency, and can timely treat the condition of the person under guardianship;
the remote control system adopts the remote control of the Internet of things, has a remote command system which can uniformly process the conditions of different people under guardianship, can not cause the problems of too much disorder of computer instruments in a guardianship chamber, difficult disinfection treatment and the like when the remote command system is placed in a central control chamber, and is provided with a GPS positioning system on a remote information display processing device which can be carried by medical personnel.
The above description is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope of the present invention, and shall cover the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims (7)

1. The utility model provides a neurosurgery ward intelligence monitor system based on thing networking, includes that physiological data detector, command system, medical personnel hand-carry's telematic information display processing apparatus and display, its characterized in that:
the physiological data detector comprises a plurality of data acquisition modules, a wireless ZigBee data transmission module, a data interaction module and a display, wherein the data acquisition modules are used for acquiring various physiological data information of a person under guardianship;
the command system comprises a data processing and classifying control system, a command system data transmission module, an abnormal data adjusting system and a data storage module, wherein historical health data and adult standard health data of a person under guardianship are stored in the data storage module and are used for guiding the data processing and classifying control system to classify various physiological data information of the person under guardianship, when the important data information of the person under guardianship is abnormal, the important data information of the person under guardianship is transmitted to the command system, and the command system directly pushes up the abnormal data of the important data information and transmits the abnormal data to medical personnel; when the common data information of the person under guardianship is abnormal, the common data information of the person under guardianship is sent to a command system, the command system processes and integrates the abnormal data of the common data information of the person under guardianship and transmits a guide signal to a regulating system, the abnormal data of the common data information of the person under guardianship is regulated adaptively, and after a period of time, if the abnormal data of the common data information is not regulated normally, the command system directly transmits the abnormal data of the common data information to medical personnel; when the slight data information of the person under guardianship is abnormal, transmitting the slight data information abnormality of the person under guardianship to a command system, and storing the slight data information abnormal data by the command system; the remote information display processing device carried by the medical personnel is provided with a GPS (global positioning system), and when the command system detects that the positioning data of the GPS is in front of the bed of the person under guardianship, the command system remotely guides the display to display the slight abnormal data information data of the person under guardianship through the Internet of things; the regulating system comprises a breathing asynchronous regulating system and an infusion pump regulating system; the breathing asynchronous adjusting system further comprises a breathing machine and a real-time data processing module, wherein a breathing basic model generated by important breathing parameters of a person under guardianship is stored in the real-time data processing module in advance, the command system transmits all real-time breathing data information of the person under guardianship to the real-time data processing module, the real-time data processing module generates a real-time breathing model according to the important breathing parameters in the real-time breathing data information of the person under guardianship, the real-time breathing model and the breathing basic model are subjected to cross calculation to obtain important breathing parameter correction values, and the breathing asynchronous adjusting system adjusts the breathing frequency, the inspiratory capacity and the expiratory capacity of the breathing machine according to the important breathing parameter correction values to adaptively adjust the breathing asynchrony of the person under guardianship.
2. The intelligent monitoring system for neurosurgical care units based on the internet of things of claim 1, wherein the remote information display and processing device carried by the medical staff is a mobile phone or a wearable device.
3. The intelligent monitoring system for neurosurgical care units based on the internet of things as claimed in claim 2, wherein the command system is connected with a plurality of physiological data detectors of different persons under guardianship through the internet of things, and transmits the physiological data information of the different persons under guardianship, which is monitored by the physiological data detectors of the different persons under guardianship, to the remote information display processing device in a grading manner.
4. The intelligent monitoring system of neurosurgical care units based on the internet of things of claim 1, wherein the important data information classified in the data processing classification control system comprises electroencephalography and electrocardiogram information of a person under guardianship.
5. The IOT-based neurosurgical care unit intelligent monitoring system of claim 1, wherein the general data information classified in the data processing classification control system comprises respiratory data, arterial pacing data.
6. The IOT-based intelligent monitoring system for neurosurgical care units according to claim 1, wherein the light data information classified in the data processing classification control system comprises body fluid data, hemodialysis data.
7. The intelligent monitoring system for the neurosurgical care unit based on the internet of things as claimed in claim 1, wherein the data processing and classification control system of the command system is respectively provided with important data information, common data information and physiological data information thresholds of various monitored persons in slight data information, and when the physiological data detector detects that the physiological data information of the monitored person exceeds the preset physiological data information threshold of the monitored person, the command system controls to directly alarm the remote information display processing device.
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