Multivariate Spirometer Time-Series Breathing Analysis
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Solution Overview
Problem
Conventional spirometers primarily measure peak expiratory flow rates, lacking the capability to analyze time-varying characteristics of breathing, such as airflow, temperature, and CO2 concentration over time, which are essential for comprehensive lung function assessment.
Innovation Solution
A spirometer system equipped with multiple sensors, including flow, temperature, and CO2 sensors, that measure and record airflow rates, temperature, and CO2 concentrations at configurable frequencies, providing time-series data for detailed analysis of breathing patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a peak flow meter is used to measure peak expiratory flow rate, then the maximum expiration flow rate can be obtained, but time-varying characteristics of breathing cannot be analyzed
Solution Approach 1:
The patent segments the breathing measurement process into multiple parameters measured simultaneously: flow rate, temperature, and CO2 concentration. Each sensor captures a different aspect of breathing, and together they provide comprehensive time-varying characteristics that a single peak flow meter cannot deliver.
Solution Approach 2:
The patent transitions from one-dimensional peak flow measurement to multi-dimensional breathing analysis by adding temperature and CO2 concentration dimensions. This allows analysis of breathing patterns, lung function, and respiratory health through multiple parameters measured simultaneously over time.
2Loss of information
If multiple sensors are used to measure flow rate, temperature, and CO2 concentration, then comprehensive breathing analysis is enabled, but device complexity increases
Solution Approach 1:
The patent merges multiple sensing functions (flow rate, temperature, CO2 concentration) into a single integrated spirometer device. The housing contains all sensors and their interconnections, consolidating what could be separate instruments into one unified system that measures multiple parameters simultaneously.
Solution Approach 2:
The spirometer device is designed with multi-functionality, serving as both a flow meter, temperature sensor, and CO2 analyzer. This universal device can perform comprehensive breathing analysis without requiring multiple separate instruments, reducing operational complexity despite the multiple sensing capabilities.
3Measurement precision
If measurements are made at high frequency to capture time-series data, then detailed breathing analysis is possible, but data processing requirements increase
Solution Approach 1:
The patent implements self-service through automated data processing algorithms that analyze the time-series data from multiple sensors. The system automatically correlates flow rate, temperature, and CO2 concentration data to derive breathing characteristics, reducing the need for manual analysis and simplifying the processing burden despite high-frequency measurements.
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 the capture of time-varying breathing characteristics, allowing for more accurate assessments of lung function and health conditions, such as asthma and COPD, by providing detailed airflow, temperature, and CO2 data over inhalation and exhalation cycles.
Implementation Method 1
a flow sensor for determining flow rates of air in the flow path
Implementation Method 2
a temperature sensor for detecting temperature of air in the flow path
Implementation Method 3
a carbon dioxide (CO2) sensor for detecting CO2 concentration values of air in the flow path
Data Source
AI summary
A multivariate spirometer and associated systems and methods are described. The spirometer has a housing defining a flow path and one or more sensors for detecting CO2 concentration values, temperature and/or flow rates of air in the flow path. The spirometer may be configured to generate time series data by sampling CO2 concentration values, temperature and/or flow rates at a predetermined frequency during inhalation and/or exhalation. Optionally, a processor is used to generate one or more output readings based on the CO2 concentration values, temperatures and/or flow rates.