SpO2 Signal Analysis for Sleep Apnea Alerting
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Solution Overview
Problem
Current diagnostic methods for obstructive sleep apnea are costly, inconvenient, and lack simple, low-cost solutions, necessitating the development of a more efficient and user-friendly system for detecting physiological conditions related to sleep apnea.
Innovation Solution
A medical device utilizing pulse oximetry data to process SpO2 signals, calculate indices like the airway instability index, and generate alerts for practitioners, enabling home-based diagnostic equipment that can analyze overnight data for obstructive sleep apnea diagnosis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If overnight sleep studies are used to diagnose sleep apnea, then diagnostic accuracy is improved, but cost and convenience deteriorate
Solution Approach 1:
The patent extracts the essential diagnostic function from complex overnight sleep studies by identifying and monitoring only the critical physiological parameters (SpO2, respiratory effort, airflow) that indicate sleep apnea events. This extraction allows diagnosis without requiring full polysomnography equipment and expert interpretation, improving convenience while maintaining diagnostic accuracy for sleep apnea detection.
Solution Approach 2:
The patent creates a simplified copy of the sleep study experience by using portable monitoring equipment that replicates the essential measurements of hospital-based studies. The device captures and analyzes SpO2 trends and respiratory patterns at home, producing diagnostic information that mirrors hospital study results without requiring patient transport or specialized facility access.
2Measurement precision
If overnight sleep studies are used to diagnose sleep apnea, then diagnostic accuracy is improved, but cost deteriorates
Solution Approach 1:
The patent employs disposable or low-cost single-use components such as adhesive sensors and portable monitoring units that can be discarded after a single use. This eliminates the need for expensive reusable hospital equipment, sterilization protocols, and specialized facility infrastructure, dramatically reducing the cost of diagnosis while maintaining adequate measurement accuracy for sleep apnea detection.
3Ease of manufacture
If pulse oximetry is used to diagnose sleep apnea, then cost is reduced, but diagnostic capability deteriorates
Solution Approach 1:
The patent merges multiple monitoring functions into a single integrated system that combines SpO2 measurement with respiratory effort detection and airflow monitoring. By combining these parameters and analyzing their relationships (such as desaturation events correlated with respiratory pauses), the system achieves comprehensive diagnostic capability using affordable pulse oximetry technology as its core component.
Solution Approach 2:
The patent implements real-time feedback analysis where SpO2 measurements are continuously monitored and compared against threshold values, with automatic detection of desaturation patterns that indicate sleep apnea events. The system provides immediate feedback through alarms and recorded data, enabling practitioners to identify diagnostic patterns without manual analysis, thereby maintaining diagnostic capability while using low-cost equipment.
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 system provides a simpler, cost-effective means to diagnose obstructive sleep apnea by processing SpO2 signals to identify desaturation patterns and clusters, aiding in both diagnosis and treatment, while reducing the need for extensive overnight sleep studies.
Implementation Method 1
A medical device utilizing pulse oximetry data to process SpO2 signals
Data Source
AI summary
Embodiments of the present disclosure provide systems and methods for monitoring a patient to produce a signal representing a blood oxygen concentration. The signal may be analyzed to determine the presence of one or more sleep apnea events, and an integral of the signal may be calculated if the signal is outside of a set range or threshold. A practitioner may choose to be informed of the presence of sleep apnea events if the blood oxygen concentration is less then a preset limit, if an upper limit has been reached for an integral representing the severity of the oxygen deprivation over time, or anytime sleep apnea events may be present in the signal.