LU503861B1 - Integrated management system applied to cerebrovascular disease early screening equipment - Google Patents

Integrated management system applied to cerebrovascular disease early screening equipment Download PDF

Info

Publication number
LU503861B1
LU503861B1 LU503861A LU503861A LU503861B1 LU 503861 B1 LU503861 B1 LU 503861B1 LU 503861 A LU503861 A LU 503861A LU 503861 A LU503861 A LU 503861A LU 503861 B1 LU503861 B1 LU 503861B1
Authority
LU
Luxembourg
Prior art keywords
early warning
module
data
aid
cerebrovascular disease
Prior art date
Application number
LU503861A
Other languages
French (fr)
Inventor
Yuanshen Yuan
Yun Liang
Kaizhong Pang
Nian Liu
Original Assignee
Zhuhai Cuming Health Tech Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhuhai Cuming Health Tech Co Ltd filed Critical Zhuhai Cuming Health Tech Co Ltd
Priority to LU503861A priority Critical patent/LU503861B1/en
Application granted granted Critical
Publication of LU503861B1 publication Critical patent/LU503861B1/en

Links

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/40Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4058Detecting, measuring or recording for evaluating the nervous system for evaluating the central nervous system
    • A61B5/4064Evaluating the brain
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271Specific aspects of physiological measurement analysis
    • A61B5/7275Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
    • 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
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT 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
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/746Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Public Health (AREA)
  • Medical Informatics (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Neurology (AREA)
  • Pathology (AREA)
  • Surgery (AREA)
  • Epidemiology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Physics & Mathematics (AREA)
  • Molecular Biology (AREA)
  • Physiology (AREA)
  • Animal Behavior & Ethology (AREA)
  • Primary Health Care (AREA)
  • Biophysics (AREA)
  • Veterinary Medicine (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Psychiatry (AREA)
  • Signal Processing (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Psychology (AREA)
  • Neurosurgery (AREA)
  • Business, Economics & Management (AREA)
  • General Business, Economics & Management (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

The application discloses an integrated management system applied to cerebrovascular disease early screening equipment, comprising an early warning monitoring module, an early warning data transmission module, a risk assessment module, a first-aid deployment module, a first-aid data transmission module and a remote rescue module; the early warning monitoring module monitors the cerebrovascular diseases according to the cerebrovascular disease early screening equipment; the early warning data transmission module uploads the early warning monitoring data to the database; the risk assessment module carries out risk assessment according to the early warning monitoring data uploaded by the early warning data transmission module, and judges whether the early warning data is abnormal; the first-aid deployment module performs first-aid deployment according to the abnormal data evaluated by the risk evaluation module; the first-aid data transmission module uploads the data monitored by the first-aid equipment in the first-aid process; the remote rescue module performs first-aid operation.

Description

DESCRIPTION LU50386-
INTEGRATED MANAGEMENT SYSTEM APPLIED TO CEREBROVASCULAR
DISEASE EARLY SCREENING EQUIPMENT
TECHNICAL FIELD
The application belongs to the technical field of medical monitoring, and in particular to an integrated management system applied to cerebrovascular disease early screening equipment.
BACKGROUND
Stroke has become one of the most fatal diseases in the world, and timely rescue of stroke patients after onset has great influence on their prognosis. At present, the diagnosis of stroke includes monitoring brain oxygen and brain temperature, which can distinguish the types of stroke. However, the equipment for monitoring brain oxygen and brain temperature cannot be connected, so it is impossible to achieve accurate rescue time for stroke patients. The application realizes an integrated management system with faster first-aid speed and more perfect preparation before first-aid for the detection and data uploading of cerebrovascular disease early screening equipment.
SUMMARY LU503861
The application aims at solving the shortcomings of the prior art and provides an integrated management system applied to cerebrovascular disease early screening equipment, which comprises an early warning monitoring module, an early warning data transmission module, a risx assessment module, a first-aid deployment module, a first-aid data transmission module and a remote rescue module; the early warning monitoring module is used for early warning monitoring of cerebrovascular diseases according to the cerebrovascular disease early screening equipment; the early warning data transmission module is used for uploading the early warning monitoring data of the early warning monitoring module to the blockchain; the risk assessment module is used for carrying out risk assessment according to the early warning monitoring data uploaded by the early warning data transmission module and judging whether the early warning data is abnormal; the first-aid deployment module is used for first-aid deployment according to the abnormal data assessed by the risk assessment module; the first-aid data transmission module is used for uploading the data monitored by the first-aid equipment in the first-aid process; the remote rescue module is used for first-aid operation in the first-aid deployment process.
Optionally, the process of early warning and monitoring of cerebrovascular diseases according to the cerebrovascular disease early screening equipment specifically includes: monitoring the brain temperature by the temperature difference between the affected side and the lateral cranial surface of the monitored object; monitoring the brain oxygen of the monitored object by using the absorption values of oxygenated and deoxyhemoglobin in the near infrared spectrum.
Optionally, uploading the early warning monitoring data to the database specifically includes: generating early warning monitoring data according to the early warning monitoring of the cerebral vessels; LU50386- uploading the early warning monitoring data to the hospital's cerebrovascular disease monitoring blockchain.
Optionally, the early warning monitoring data includes cortical arteriovenous mixed oxygen saturation, the temperature of the affected and lateral cranial surfaces, and the temperature of the supraorbital region.
Optionally, uploading the early warning monitoring data to the hospital's cerebrovascular disease monitoring blockchain includes: uploading the early warning monitoring data to the blockchain based on the 5G network.
Optionally, the specific process of judging whether the early warning data is abnormal includes: performing threshold comparison on the data uploaded to the blockchain; if the data exceeds the normal threshold, it is determined that the data is abnormal, and the source of abnormal data is obtained to give an alarm.
Optionally, the first-aid deployment specifically includes: contacting the monitored person according to the source of abnormal data and understanding the specific situation when receiving the alarm information; deploying the diagnosis vehicle to give first-aid to the monitored person according to the specific situation.
Optionally, the deployed diagnosis vehicle comprises an equipment cabin and a medical cabin; the equipment cabin comprises a magnetic resonance system control cabinet, a carriage electrical control module, a computer, an equipment operation platform and a vehicle-mounted system power supply device; the medical cabin comprises a vehicle-mounted magnetic resonance system.
Compared with the prior art, the application has the beneficial effects that:
The brain stroke can be monitored at home, and there is no need to come to the hospital for registration and queuing, so the applicability is stronger; the upload of monitoring data in real time facilitates early screening of cerebrovascular diseases and prolongs the rescue time; according to the detected real-time data, rescue guidance is given in the deployment vehicle, thus strengthening the success rate of rescue; using blockchain to store uploaded data is more secure. LU503861
BRIEF DESCRIPTION OF THE FIGURE
In order to explain the technical scheme of this application more clearly, the figure needed in the embodiment is briefly introduced below. Obviously, the figure in the following description is only some embodiments of this application. For ordinary technicians in this field, other drawings can be obtained according to these drawings without paying creative labor.
FIG. 1 is a system structure diagram of an integrated management system applied to cerebrovascular disease early screening equipment according to an embodiment of the present application.
DESCRIPTION OF THE APPLICATION
In the following, the technical scheme in the embodiment of the application will be clearly and completely described with reference to the drawings in the embodiment of the application. Obviously, the described embodiment is only a part of the embodiment of the application, but not the whole embodiment. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work belong to the protection scope of this application.
In order to make the above objects, features and advantages of this application more obvious and easier to understand, the application will be further described in detail with the attached drawings and specific embodiments.
In this embodiment, as shown in FIG. 1, an integrated management system applied to cerebrovascular disease early screening equipment specifically includes an early warning monitoring module, an early warning data transmission module, a risk assessment module, a first-aid deployment module, a first-aid data transmission module and a remote rescue module.
The early warning monitoring module is used for early warning monitoring of cerebrovascular diseases according to the cerebrovascular disease early screening equipment. The process of early warning and monitoring of cerebrovascular diseases 503861 according to the cerebrovascular disease early screening equipment specifically includes: monitoring the brain temperature by the temperature difference between the affected side and the lateral cranial surface of the monitored object; monitoring the brain oxygen of the monitored object by using the absorption values of oxygenated and deoxyhemoglobin in the near infrared spectrum. Among them, cerebrovascular disease early screening equipment is wearable array brain temperature and brain oxygen monitor and near infrared spectrum noninvasive brain oxygen monitor. It is worth mentioning that the personal information of the monitored patients with cerebrovascular diseases needs to be stored in the blockchain, including the basic information of the monitored patients and the precautions of the monitored patients (allergic drugs, medical records, etc.).
The early warning data transmission module is used for uploading the early warning monitoring data of the early warning monitoring module to the blockchain; uploading the early warning monitoring data to the database specifically includes: generating early warning monitoring data according to the early warning monitoring of the cerebral vessels; uploading the early warning monitoring data to the hospital's cerebrovascular disease monitoring blockchain. The early warning monitoring data includes cortical arteriovenous mixed oxygen saturation, the temperature of the affected and lateral cranial surfaces, and the temperature of the supraorbital region. Uploading the early warning monitoring data to the hospital's cerebrovascular disease monitoring blockchain includes: uploading the early warning monitoring data to the blockchain based on the 5G network. The uploading method specifically comprises the following steps: connecting the cerebrovascular disease early screening equipment with the 5G edge subsystem, and connecting the 5G edge subsystem with the blockchain platform through the 5G communication network to obtain the event information in the uploading process and upload the event information to the 5G edge subsystem, and the 5G edge subsystem sends the event information to the blockchain platform through 5G communication to complete data uploading. The event information is the monitoring information of the monitored person.
The risk assessment module is used for carrying out risk assessment according 11503861 the early warning monitoring data uploaded by the early warning data transmission module and judging whether the early warning data is abnormal; the process includes: performing threshold comparison on the data uploaded to the blockchain; if the data exceeds the normal threshold, it is determined that the data is abnormal, and the source of abnormal data is obtained to give an alarm.
The first-aid deployment module is used for first-aid deployment according to the abnormal data assessed by the risk assessment module; the first-aid deployment specifically includes: contacting the monitored person according to the source of abnormal data and understanding the specific situation when receiving the alarm information; deploying the diagnosis vehicle to give first-aid to the monitored person according to the specific situation. The deployed diagnosis vehicle comprises an equipment cabin and a medical cabin, wherein the equipment cabin comprises a magnetic resonance system control cabinet, a carriage electrical control module, a computer, an equipment operation platform and a vehicle-mounted system power supply device; the medical cabin comprises a vehicle-mounted magnetic resonance system.
The first-aid data transmission module is used for uploading the data monitored by the first-aid equipment in the first-aid process; the first-aid deployment module comprises a front-end information sensing unit and a control and communication unit; the front-end information sensing unit is used for monitoring real-time health index parameters of medical entities; the control and communication unit is used for uploading the collected real-time health index parameters by using NFC and LoRa communication technologies. Based on NFC protocol and LoRa communication protocol, the LoRa gateway is connected and the data transmission at a long distance and a short distance is performed, so that the data upload at different distances is realized.
The remote rescue module is used for first-aid operation in the process of first-aid deployment. Optionally, the remote rescue module is used to remotely provide medical attention and services in the deployment vehicle according to the uploaded real-time health index parameters. According to the real-time data uploaded by the first-aid data transmission module, professional first-aid personnel carry out remote rescue.
The above-mentioned embodiment is only a description of the preferred mode of this application, not a limitation on the scope of this application.
Without departing from 503861 the design spirit of this application, various modifications and improvements made by ordinary technicians in this field to the technical scheme of this application shall fall within the protection scope determined by the claims of this application.

Claims (8)

CLAIMS LU503861
1. An integrated management system applied to cerebrovascular disease early screening equipment, characterized by comprising an early warning monitoring module, an early warning data transmission module, a risk assessment module, a first-aid deployment module, a first-aid data transmission module and a remote rescue module; the early warning monitoring module is used for early warning monitoring of cerebrovascular diseases according to the cerebrovascular disease early screening equipment; the early warning data transmission module is used for uploading the early warning monitoring data of the early warning monitoring module to the blockchain; the risk assessment module is used for carrying out risk assessment according to the early warning monitoring data uploaded by the early warning data transmission module and judging whether the early warning data is abnormal; the first-aid deployment module is used for first-aid deployment according to the abnormal data assessed by the risk assessment module; the first-aid data transmission module is used for uploading the data monitored by the first-aid equipment in the first-aid process; the remote rescue module is used for first-aid operation in the first-aid deployment process.
2. The integrated management system applied to cerebrovascular disease early screening equipment according to claim 1, characterized in that, the process of early warning and monitoring of cerebrovascular diseases according to the cerebrovascular disease early screening equipment specifically includes: monitoring the brain temperature by the temperature difference between the affected side and the lateral cranial surface of the monitored object; monitoring the brain oxygen of the monitored object by using the absorption values of oxygenated and deoxyhemoglobin in the near infrared spectrum.
3. The integrated management system applied to cerebrovascular disease early 503861 screening equipment according to claim 2, characterized in that, uploading the early warning monitoring data to the database specifically includes: generating early warning monitoring data according to the early warning monitoring of the cerebral vessels; uploading the early warning monitoring data to the hospital's cerebrovascular disease monitoring blockchain.
4. The integrated management system applied to cerebrovascular disease early screening equipment according to claim 3, characterized in that, the early warning monitoring data includes cortical arteriovenous mixed oxygen saturation, the temperature of the affected and lateral cranial surfaces, and the temperature of the supraorbital region.
5. The integrated management system applied to cerebrovascular disease early screening equipment according to claim 4, characterized in that, uploading the early warning monitoring data to the hospital's cerebrovascular disease monitoring blockchain includes: uploading the early warning monitoring data to the blockchain based on the 5G network.
6. The integrated management system applied to cerebrovascular disease early screening equipment according to claim 5, characterized in that, the specific process of judging whether the early warning data is abnormal includes: performing threshold comparison on the data uploaded to the blockchain; if the data exceeds the normal threshold, it is determined that the data is abnormal, and the source of abnormal data is obtained to give an alarm.
7. The integrated management system applied to cerebrovascular disease early 503861 screening equipment according to claim 6, characterized in that, the first-aid deployment specifically includes: contacting the monitored person according to the source of abnormal data and understanding the specific situation when receiving the alarm information; deploying the diagnosis vehicle to give first-aid to the monitored person according to the specific situation.
8. The integrated management system applied to cerebrovascular disease early screening equipment according to claim 7, characterized in that, the deployed diagnosis vehicle comprises an equipment cabin and a medical cabin; the equipment cabin comprises a magnetic resonance system control cabinet, a carriage electrical control module, a computer, an equipment operation platform and a vehicle-mounted system power supply device; the medical cabin comprises a vehicle-mounted magnetic resonance system.
LU503861A 2023-04-06 2023-04-06 Integrated management system applied to cerebrovascular disease early screening equipment LU503861B1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
LU503861A LU503861B1 (en) 2023-04-06 2023-04-06 Integrated management system applied to cerebrovascular disease early screening equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
LU503861A LU503861B1 (en) 2023-04-06 2023-04-06 Integrated management system applied to cerebrovascular disease early screening equipment

Publications (1)

Publication Number Publication Date
LU503861B1 true LU503861B1 (en) 2023-10-06

Family

ID=88244307

Family Applications (1)

Application Number Title Priority Date Filing Date
LU503861A LU503861B1 (en) 2023-04-06 2023-04-06 Integrated management system applied to cerebrovascular disease early screening equipment

Country Status (1)

Country Link
LU (1) LU503861B1 (en)

Similar Documents

Publication Publication Date Title
US11065958B2 (en) Control system and method
CN105869356B (en) A kind of the assessment interfering system and method for railway drivers working condition
CN105007338B (en) Aged health monitors and alarm intelligent Internet of Things application service platform
CN107307855A (en) Vehicular human health monitoring system and method based on wearable device
CN106066931A (en) A kind of active-mode intelligent emergency system
CN103230261B (en) Physiological information monitoring system and monitoring method
CN107212897A (en) Vehicular human health data collecting system and health monitoring method based on cloud platform
WO2010066507A1 (en) Method for remote diagnostics monitoring and support of patients and device and telemedical center
CN109171686B (en) Wearable medical equipment of intelligence and portable real-time supervision system of family
CN103700049A (en) Communicable network monitoring system control method based on Internet of Things
CN104269027B (en) The fatigue driving detection device combined based on video and sensing
US20210307622A1 (en) Doctor health monitoring system based on medical apparatus
Rajan et al. Feasibility analysis of portable electroencephalography based abnormal fatigue detection and tele-surveillance system
CN110664417A (en) Train safe driving early warning equipment and system
CN112309552A (en) AI-based bracelet-type intelligent whole-course radiotherapy safety management system and method
CN106205001A (en) A kind of hospital security warning system
CN108460957A (en) A kind of the elder's health group monitoring warning system and method
DE19631589B4 (en) Device for monitoring the state of concentration and / or the tendency of people to fall asleep
DE102010061531A1 (en) Method for ensuring the fastest possible professional medical care of an individual
LU503861B1 (en) Integrated management system applied to cerebrovascular disease early screening equipment
CN106983502A (en) Disease diagnosing system and its application method
CN113012823A (en) Cloud platform system for electrocardiograph
KR20090127612A (en) Bio-signal monitering system
CN104933319A (en) Mobile medical system using mobile terminal and based on cloud
CN115177255A (en) Fatigue driving monitoring and early warning method and system

Legal Events

Date Code Title Description
FG Patent granted

Effective date: 20231006