Real-time Multi-monitoring Apparatus Using Electrocardiograph
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Solution Overview
Problem
Existing real-time multi-monitoring systems face challenges in efficiently monitoring multiple patients simultaneously using electrocardiographs, as they are often cumbersome and limited in their ability to process real-time signals effectively, especially in emergency situations.
Innovation Solution
A real-time multi-monitoring apparatus and method using an electrocardiograph that connects multiple electrocardiographs via a network, collects and analyzes biometric signal information, and determines health conditions based on predefined reference information, enabling simultaneous monitoring of multiple patients in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wired electronic devices are directly attached on the patient's body to monitor biometric signals, then real-time monitoring capability is improved, but patient mobility and comfort deteriorate
Solution Approach 1:
The patent replaces wired mechanical connections with wireless communication technology. The monitoring system transmits biometric data wirelessly from the patient's device to the server, eliminating physical cables and improving patient mobility while maintaining real-time monitoring capability.
Solution Approach 2:
The system divides the monitoring function into separate modular components: biometric signal collection devices attached to patients, wireless communication modules, a central server for data processing, and user interface terminals. This segmentation allows patients to move freely while monitoring continues uninterrupted.
2Quantity of substance
If multiple electrocardiographs are connected via network to monitor multiple patients, then monitoring coverage is improved, but system complexity increases
Solution Approach 1:
The patent implements a universal server platform that can handle multiple patient data streams through a single standardized interface. The server provides multi-functional capabilities including data collection, processing, storage, and alert generation, allowing it to manage any number of electrocardiograph connections without requiring separate systems for each patient.
Solution Approach 2:
The central server acts as an intermediary between multiple electrocardiographs and user terminals. It standardizes communication protocols and data formats, simplifying the network architecture by providing a single point of coordination rather than requiring direct peer-to-peer connections between all devices.
3Loss of time
If biometric signal information is collected and analyzed in real-time, then emergency response speed is improved, but data processing requirements increase
Solution Approach 1:
The system performs preliminary processing of biometric data at the source devices and through the server before full analysis is needed. Basic signal filtering, normalization, and preliminary anomaly detection are conducted in advance, reducing the computational burden during critical real-time emergency situations and enabling faster response times.
Data Source
AI summary
Provided is a real-time multi-monitoring method using an electrocardiograph and a real-time multi-monitoring method using an electrocardiograph including connecting at least one of a plurality of electrocardiographs via a network; receiving identification information of a user which is linked to an electrocardiograph to identify the plurality of electrocardiographs; collecting biometric signal information from the plurality of electrocardiographs; and analyzing a health condition in consideration of predetermined reference information which is defined for each user and biometric signal information collected from each of the plurality of electrocardiographs.


