Cardiovascular Respiratory Signal Correlation Device

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Solution Overview

Problem

Current monitoring technologies require significant equipment expenditure for continuous monitoring of cardiovascular and respiratory systems, and fail to correlate cardiac and respiration signals effectively, limiting early detection of life-threatening conditions.

Innovation Solution

A device that uses separate channels to transmit measurement data from various sensors, allowing for continuous recording and analysis of cardiac and respiratory signals over at least six hours, with the ability to identify pacemaker artifacts and detect arrhythmias, ischemias, and breathing disorders, enabling correlation of signals for early detection of vital system imbalances.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If separate channels are used for transmitting measurement data from various sensors, then signal correlation capability is improved, but device complexity increases

Engineering Contradiction:
Improvesignal correlation capabilityVSAvoiddevice complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent divides the measurement system into separate channels for different sensors (ECG, respiratory, oxygen saturation, etc.), with each channel processing and transmitting data independently. This segmentation allows simultaneous acquisition of multiple physiological parameters without signal interference, enabling comprehensive signal correlation while maintaining manageable system architecture through modular channel design.

Inventive Principle:
Principle #1Segmentation

2Reliability

If continuous recording is carried out for at least six hours, then early detection capability is improved, but energy consumption increases

Engineering Contradiction:
Improveearly detection capabilityVSAvoidenergy consumption
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system implements periodic sampling and evaluation of physiological signals at defined intervals during the continuous six-hour recording period. Instead of continuous high-power processing, the device periodically analyzes data segments, allowing early detection of cardiac and respiratory disorders while reducing overall energy consumption through intermittent rather than constant high-intensity operation.

Inventive Principle:
Principle #19Periodic action

3Measurement precision

If pacemaker artifact detection is implemented, then measurement precision is improved, but device complexity increases

Engineering Contradiction:
Improvepacemaker artifact detection accuracyVSAvoiddevice complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent introduces a dedicated evaluation device that acts as an intermediary between the ECG sensors and the final analysis system. This intermediate component specifically processes ECG signals to detect pacemaker artifacts, isolating the complex detection algorithm from the main system architecture. This approach improves measurement precision for pacemaker artifact identification while containing device complexity within a specialized modular component.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentEP1859733B1Method and device for correlating breathing signals in the cardiovascular system
Publication Date: 2019.05.29 LOWENSTEIN MEDICAL TECH SA
  • EP1859733B1 patent drawingFigure 1
  • EP1859733B1 patent drawingFigure 2
  • EP1859733B1 patent drawingFigure 3

AI summary

The arrangement has a clock system producing time signal. The control unit of the data recording arrangement records all channels of the data recording arrangement during the time signal, and assigns a time signal to each data signal. A connecting unit is implemented for optional attaching of the data recording arrangement to a personal computer or to a therapy unit. An independent claim is also included for a method for displaying and evaluation of electrocardiogram signals and breathe-dependent signals in form of a comparative representation of the different channels with one another.