Intelligent medical disease monitoring and early warning system based on big data

An early warning system and big data technology, applied in the fields of medical science, sensors, diagnostic recording/measurement, etc., can solve the problems of single data collection, inability to issue alarm information in time, and insufficient accuracy, so as to ensure life safety and improve protection. Effect, alarm accurate effect

Pending Publication Date: 2021-10-29
四川临丰医疗科技有限公司
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

b class="d_n">[0004] The technical problem to be solved by the present invention is: how to solve the existing disease monitoring and early warning system, the collected data is relatively single, and the accuracy is not high enough, and the alarm information cannot be sent in time to give the disease a The use of the monitoring and early warning system has brought some problems, and a smart medical condition monitoring and early warning system based on big data is provided.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Intelligent medical disease monitoring and early warning system based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The embodiments of the present invention are described in detail below. This embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following implementation example.

[0031] Such as figure 1 As shown, this embodiment provides a technical solution: a smart medical condition monitoring and early warning system based on big data, including a body temperature collection module, a heartbeat collection module, a respiration collection module, a blood oxygen collection module, a response collection module, and a data receiving module , data processing module, master control module and alarm sending module;

[0032] The body temperature collection module is used to collect the real-time body temperature information of the patient, the heartbeat collection module is used to collect the ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an intelligent medical disease monitoring and early warning system based on big data, which comprises a body temperature acquisition module, a heartbeat acquisition module, a breath acquisition module, a blood oxygen acquisition module, a reaction acquisition module, a data receiving module, a data processing module, a master control module and an alarm sending module. The body temperature acquisition module is used for acquiring real-time body temperature information of a patient, the heartbeat acquisition module is used for acquiring real-time heartbeat information of the patient, the breath acquisition module is used for acquiring real-time breath frequency information of the patient, and the blood oxygen acquisition module is used for acquiring blood oxygen concentration information of the patient; the data receiving module is used for receiving the real-time body temperature information, the real-time heartbeat information, the real-time breath frequency information, the blood oxygen concentration information and the reaction speed information of the patient. According to the invention, alarm information can be sent out in time when the body of a patient is abnormal, and the system is more worthy of application and popularization.

Description

technical field [0001] The invention relates to the field of early warning systems, in particular to a smart medical condition monitoring and early warning system based on big data. Background technique [0002] Critically ill patients are critically ill and changing rapidly, so continuous monitoring of the functions of each system can dynamically monitor the overall state of the patient, the degree of disease risk and the degree of damage to the organs of each system, and it is extremely important to detect changes in the condition in time, diagnose and rescue in time , There are many monitoring contents for the condition of critically ill patients, the most basic ones are nervous system, respiratory, circulatory system, and renal function monitoring. In the process of condition monitoring, an early warning system is needed to promptly send out an alarm to remind medical staff. [0003] The existing disease monitoring and early warning system collects relatively single data...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0205A61B5/00
CPCA61B5/7275A61B5/02055
Inventor 王科刘军徽
Owner 四川临丰医疗科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap