Ventilation Device Cardiac Decompensation Detection
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Solution Overview
Problem
Current ventilation devices lack the ability to effectively monitor and provide feedback on the quality of therapy for patients with heart failure and sleep-related breathing disorders, particularly in detecting early signs of cardiac decompensation, which can lead to increased mortality and high therapeutic costs.
Innovation Solution
A ventilation device integrated with sensors to monitor oxygen saturation, pulse wave, and respiration patterns, using pulse oximetry and pulse wave analysis to detect incipient decompensation, and provide visual or acoustic signals indicating deviations from target values, facilitating early intervention and therapy adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ventilation devices only display basic parameters (pressure, flow, volume), then the device complexity is low, but the ability to detect early signs of cardiac decompensation is insufficient
Solution Approach 1:
The patent combines multiple sensor types (pressure sensors, flow sensors, volume sensors, pulse oximetry sensors, ECG electrodes) into a single integrated ventilation device. This merging of detection functions allows the device to monitor both respiratory parameters and cardiac indicators simultaneously, enabling early detection of cardiac decompensation without requiring separate monitoring devices.
Solution Approach 2:
The ventilation device is designed to perform multiple functions: providing ventilation therapy, monitoring respiratory parameters, detecting cardiac decompensation signs, and evaluating therapy quality. This multi-functionality allows a single device to address both respiratory support and cardiac monitoring needs, improving reliability without proportionally increasing complexity.
2Measurement precision
If the ventilation device monitors multiple parameters continuously, then the detection precision improves, but the loss of information increases due to the large amount of data
Solution Approach 1:
The device implements feedback mechanisms where measured parameters are continuously compared against reference ranges and previous measurements. The control unit automatically identifies trends and deviations, providing feedback to both the user interface and the ventilation control system. This reduces information loss by transforming raw data into meaningful clinical insights that highlight only relevant changes.
Solution Approach 2:
The control unit performs preliminary analysis of sensor data in real-time, identifying early signs of decompensation before they become critical. By pre-processing and interpreting data continuously, the system prepares actionable information in advance, reducing the burden on users to analyze large volumes of raw data and ensuring critical information is not lost or overlooked.
3Reliability
If the device provides detailed monitoring and analysis functions, then the therapy evaluation capability improves, but the ease of operation decreases
Solution Approach 1:
The ventilation device performs self-evaluation of therapy quality by automatically analyzing its own operational parameters and sensor data. The control unit assesses whether ventilation goals are being met, detects therapy complications, and provides self-diagnostic information without requiring external interpretation. This self-service capability maintains high reliability while simplifying operation for users.
Solution Approach 2:
The device uses color-coded visual indicators (such as traffic light systems with green, yellow, and red colors) to represent therapy quality and patient status. This intuitive visual feedback allows users to quickly grasp complex information at a glance, maintaining ease of operation while providing detailed monitoring and evaluation capabilities through universally understood color semantics.
4Productivity
If the ventilation device automatically adjusts therapy parameters, then the productivity of therapy optimization improves, but the device complexity increases
Solution Approach 1:
The control unit continuously monitors patient response to ventilation therapy and automatically adjusts parameters based on detected changes in respiratory and cardiac parameters. This feedback-driven automatic adjustment optimizes therapy productivity by adapting to patient needs in real-time, while the complexity is managed through algorithmic control rather than mechanical complexity.
Solution Approach 2:
The device automatically changes ventilation parameters (such as pressure levels, flow rates, or respiratory rates) based on detected patient condition changes. By implementing parameter changes through software control algorithms rather than mechanical adjustments, the system achieves high therapy optimization efficiency while keeping physical device complexity relatively low.
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
Enables early detection of cardiac decompensation, reduces mortality, and provides economic benefits by preventing costly complications, while improving the effectiveness and appropriateness of ventilation therapy.
Implementation Method 1
using pulse oximetry and pulse wave analysis to detect incipient decompensation
Implementation Method 2
The measured values of the sensors enable the pressure, flow and volume of the gases concerned to be determined
Data Source
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Figure 3
Figure 4A~4C
AI summary
The device has a device housing (1) comprising a control panel (2), and a computing unit for storing and computing measured values of sensors. An input unit is provided for selecting data sets and comparison rules stored in the computing unit. The computing unit determines whether a set of detected processes in an overall time exceeds or falls below a determined value. The computing unit detects actuality of the processes, produces optical and/or acoustical signal at a point over a data connection and changes an operating mode of the breathing device. An independent claim is also included for a method for controlling a breathing device.