Sudden Death Early Warning System Using Multi-Source Physiological Signal Fusion
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Solution Overview
Problem
Existing early warning systems for sudden death lack diversity in monitoring indicators, leading to high missed and false alarm rates, particularly failing to effectively monitor and warn for abnormalities caused by respiratory and nervous system diseases, which are major contributors to sudden deaths.
Innovation Solution
An early warning method and system that monitors four physiological signals - respiration, blood oxygen saturation, heart rate, and heart rate variability - using a multi-source information fusion approach to detect abnormalities and generate alarms, with a classification system for early warning levels indicating the risk of sudden death.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple physiological signals are monitored using multi-source information fusion, then the monitoring scope is expanded and reliability is improved, but the device complexity increases
Solution Approach 1:
The monitoring system is divided into multiple independent functional modules, each responsible for detecting a specific physiological parameter (respiration, blood oxygen saturation, heart rate, heart rate variability). Each module processes its signal independently and outputs to a central fusion module, reducing overall system complexity while maintaining comprehensive monitoring capability.
Solution Approach 2:
Multiple physiological signal sources are merged and integrated through information fusion technology in a central processing module. This combines the advantages of diverse monitoring indicators while managing complexity through unified processing architecture, achieving reliable early warning through comprehensive data integration.
2Adaptability or versatility
If diverse monitoring indicators are implemented, then the coverage of sudden death factors is improved, but the device complexity increases
Solution Approach 1:
The monitoring device is designed with multi-functional capability to detect multiple physiological parameters (respiration, blood oxygen saturation, heart rate, heart rate variability) using a unified platform. This universal design achieves comprehensive coverage of sudden death factors while avoiding the need for separate specialized devices for each parameter.
Solution Approach 2:
The system transitions from single-parameter monitoring to multi-dimensional physiological monitoring by adding vertical layers of detection (different physiological systems). This dimensional expansion covers cardiovascular, respiratory, and nervous system indicators simultaneously, achieving comprehensive coverage without linearly increasing structural complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The expanded monitoring scope and classification system reduce missed warnings and false alarms, providing more comprehensive protection against sudden death factors, especially for cardiovascular, respiratory, and nervous system-related issues, and facilitate timely medical attention through a network-based warning system.
Implementation Method 1
the pulse information detected through a green LED
Implementation Method 2
human motion information obtained by a three-axis acceleration sensor
Implementation Method 3
an integrated electromyographic sensor and a heart rate sensor are used to obtain abnormal electromyographic signals caused by mental stress
Implementation Method 4
abnormal signals in heart rate deceleration force and continuous heart rate deceleration force caused by abnormal heart rate
Data Source
AI summary
The present application discloses an early warning method, device and system of sudden death. The method includes: 1. extracting 6 indicators of 4 types of physiological information 2. performing abnormality detection on the physiological information and calculating an early warning level, proceeding to step 3 when a result of the abnormality detection indicates abnormal, and continuing the abnormality detection when the result of the abnormality detection indicates normal; and 3. producing sound, light and vibration alarms, in which an alarm device is driven to produce sound, light and vibration and provide a corresponding early warning level. A higher early warning level indicates a higher risk of sudden death.