Biosignal Breathing Analysis for Cardiac Failure Aggravation Detection
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Solution Overview
Problem
Existing systems fail to accurately detect cardiac failure aggravation symptoms in patients due to variations in subjective impressions and limited knowledge of non-medical specialists, making it difficult to identify worsening conditions in cardiac failure patients, especially with decreasing support personnel.
Innovation Solution
A detection apparatus using a biosignal acquisition unit to measure body vibrations, calculating respiratory and heartbeat rates, and detecting cardiac failure aggravation by comparing cumulative parameter values against predetermined thresholds, with a system that can notify medical staff or patients of potential symptoms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If subjective impression-based detection methods are used, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent replaces subjective mechanical assessment methods with objective automated detection using biosignal acquisition units that measure physiological parameters (respiratory rate, heartbeat rate) through sensors. This substitution eliminates human subjectivity while maintaining ease of operation through automated data collection and processing.
Solution Approach 2:
The system enables self-monitoring where patients can independently track their own physiological parameters and receive automated alerts when thresholds are exceeded. The detection apparatus operates autonomously without requiring medical professionals for continuous monitoring, improving both ease of operation and detection accuracy.
2Measurement precision
If cumulative parameter comparison is implemented, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system pre-sets determination thresholds for physiological parameters based on normal ranges. These thresholds are established in advance, allowing the complex cumulative comparison logic to be simplified into straightforward threshold checking during operation. This preliminary preparation reduces real-time computational complexity while maintaining high detection accuracy.
Solution Approach 2:
The apparatus continuously monitors physiological parameters and provides feedback by comparing current values against predetermined thresholds. This feedback mechanism enables simple threshold-based detection rather than complex real-time analysis, reducing system complexity while maintaining precision through continuous automated comparison.
3Measurement precision
If automated biosignal detection is used, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The biosignal acquisition unit operates continuously to monitor physiological parameters without interruption. This continuous monitoring eliminates detection delays by ensuring that parameter changes are captured immediately, reducing time loss while maintaining high measurement precision through uninterrupted data collection.
Solution Approach 2:
The system implements real-time feedback by continuously comparing measured physiological parameters against predetermined thresholds and immediately triggering alerts when abnormalities are detected. This rapid feedback loop minimizes response time while maintaining accuracy through automated continuous comparison.
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 apparatus effectively identifies cardiac failure aggravation by analyzing biosignals over time, providing timely alerts to medical staff or patients, improving detection accuracy and reducing reliance on subjective assessments.
Implementation Method 1
a biosignal acquisition unit configured to acquire a biosignal of a user
Data Source
AI summary
A detection apparatus includes a biosignal acquisition unit configured to acquire a biosignal of a user, and a controller. The controller is configured to calculate one or more parameter values related to breathing of the user based on the biosignal acquired from the biosignal acquisition unit, and detect a presence of a symptom of aggravation of cardiac failure in the user when a calculated parameter value in which a cumulative value of previous day difference data has exceeded a predetermined threshold is present, among the calculated parameter values.


