Respiratory Sensor Integration Block for Real-Time Breath Gas Logging
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Solution Overview
Problem
Existing respiratory monitoring systems lack comprehensive, noninvasive methods for real-time monitoring of blood gases, brain and organ oxygenation, perfusion, and hemodynamics, limiting their effectiveness in diagnosing and treating conditions like asthma and respiratory distress.
Innovation Solution
A Data-Logging Sensor Integration Block (DLSIB) system that integrates multiple sensors, including nitric oxide, oxygen, carbon dioxide, and pressure sensors, to measure and analyze respiratory parameters in real-time, providing immediate feedback for diagnostic and therapeutic decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are integrated into a single block for comprehensive respiratory monitoring, then measurement precision and diagnostic capability are improved, but device complexity increases
Solution Approach 1:
The patent combines multiple respiratory sensors (flow sensor, pressure sensor, temperature sensor, humidity sensor, and gas concentration sensors) into a single integrated sensor block that interfaces with the patient through a unified connection. This merging approach enables comprehensive respiratory monitoring with improved measurement precision while managing device complexity through systematic integration of all sensing functions in one modular unit.
2Measurement precision
If real-time data logging and analysis capabilities are added to the sensor system, then diagnostic accuracy and response time are improved, but loss of time for data processing increases
Solution Approach 1:
The system performs preliminary data processing and analysis directly at the sensor block level, where raw sensor signals are conditioned, filtered, and pre-analyzed before transmission to external systems. This preliminary action reduces the time required for subsequent diagnostic processing and enables real-time monitoring with minimal data processing delay.
Solution Approach 2:
The patent implements real-time feedback mechanisms where sensor data is continuously analyzed and used to provide immediate diagnostic information and control adjustments. The system processes data streams in real-time, providing continuous feedback on respiratory parameters, oxygen saturation, and gas exchange efficiency, thereby improving diagnostic accuracy without significant time loss.
3Object-affected harmful factors
If noninvasive monitoring methods are implemented for blood gases and oxygenation, then patient comfort and safety are improved, but measurement precision deteriorates
Solution Approach 1:
The patent uses breath condensate and exhaled gas analysis as intermediary measurements to indirectly assess blood gas levels and tissue oxygenation. By analyzing oxygen, carbon dioxide, and nitric oxide concentrations in the patient's breath, the system provides noninvasive monitoring that approximates invasive blood gas measurements, maintaining patient comfort while achieving clinically useful measurement precision through the intermediary of respiratory gas analysis.
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 real-time detection of physiological obstructions, enhances diagnostic accuracy, and facilitates timely therapeutic interventions by monitoring oxygen-carbon dioxide exchange, thereby improving patient care in respiratory conditions.
Implementation Method 1
two or more sensors are in fluid communication with the interior of the at least one chamber, wherein the two or more sensors are selected from a nitric oxide sensor, a nitrous oxide sensor, an oxygen sensor, an ozone sensor, a carbon dioxide sensor, a carbon monoxide sensor
Implementation Method 2
two or more sensors are selected from a nitric oxide sensor, a nitrous oxide sensor, an oxygen sensor, an ozone sensor, a carbon dioxide sensor, a carbon monoxide sensor
Implementation Method 3
two or more sensors are selected from a nitric oxide sensor, a nitrous oxide sensor, an oxygen sensor, an ozone sensor, a carbon dioxide sensor, a carbon monoxide sensor
Implementation Method 4
two or more sensors are selected from a nitric oxide sensor, a nitrous oxide sensor, an oxygen sensor, an ozone sensor, a carbon dioxide sensor, a carbon monoxide sensor, a pressure sensor
Implementation Method 5
two or more sensors are selected from a nitric oxide sensor, a nitrous oxide sensor, an oxygen sensor, an ozone sensor, a carbon dioxide sensor, a carbon monoxide sensor, a pressure sensor, a temperature sensor
Implementation Method 6
two or more sensors are selected from a nitric oxide sensor, a nitrous oxide sensor, an oxygen sensor, an ozone sensor, a carbon dioxide sensor, a carbon monoxide sensor, a pressure sensor, a temperature sensor, a humidity sensor
Implementation Method 7
two or more sensors are selected from a nitric oxide sensor, a nitrous oxide sensor, an oxygen sensor, an ozone sensor, a carbon dioxide sensor, a carbon monoxide sensor, a pressure sensor, a temperature sensor, a humidity sensor, an ammonia sensor, a mass flow rate sensor
Data Source
AI summary
The present invention includes a Data-Logging Sensor Integration Block (DLSIB) system for real-time respiratory data for use with humans and animals comprising at least one chamber comprising an interior, an inlet and outlet for air, wherein two or more sensors are in fluid communication with the interior of the at least one chamber, wherein the two or more sensors are selected from a nitric oxide sensor, a nitrous oxide sensor an oxygen sensor, an ozone sensor, a carbon dioxide sensor, a carbon monoxide sensor, a pressure sensor, a temperature sensor, a humidity sensor a mass flow rate sensor, an SpO2 sensor, or a PaCO2 sensor; and a processor connected to each of the two or more sensors, and wherein the DLSIB system measures in real-time or internally records outputs from the two or more sensors for each breath of a subject.