Pulse Oximeter Position Sensor for Sleep Apnea Detection
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Solution Overview
Problem
Current methods for diagnosing obstructive sleep apnea (OSA) are invasive, costly, and inefficient, with many cases remaining undiagnosed due to misconceptions about the condition's severity and the cumbersome process of polysomnography (PSG) testing, which often provides incomplete data and does not account for the significant impact of sleeping position on apnea events.
Innovation Solution
A positional obstructive sleep apnea detection system that combines a pulse oximeter with a position sensor to track blood oxygen levels and sleeping position, allowing for continuous, non-invasive data collection at home, which can differentiate between obstructive and central sleep apnea and provide insights into the efficacy of treatments like CPAP therapy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If polysomnography (PSG) testing is used to diagnose obstructive sleep apnea, then diagnostic accuracy is improved, but the process becomes cumbersome, invasive, and costly
Solution Approach 1:
The patent extracts the essential measurement functions from the complex PSG system, using only a pulse oximeter to monitor blood oxygen saturation levels. This extraction approach maintains diagnostic capability for sleep apnea while eliminating the need for multiple electrodes, sensors, and laboratory equipment, thereby simplifying the testing process significantly
Solution Approach 2:
The invention employs inexpensive, disposable pulse oximeter probes that can be used once and discarded, replacing the expensive, reusable PSG equipment. This approach reduces costs while maintaining adequate diagnostic accuracy for screening and monitoring sleep apnea events
2Loss of information
If in-lab polysomnography is conducted, then comprehensive sleep data is collected, but the foreign environment and observation interfere with natural sleep patterns
Solution Approach 1:
The patent enables patients to conduct sleep monitoring themselves in their own homes using simple pulse oximeter equipment. This self-service approach eliminates the foreign environment and observer presence, allowing patients to maintain their natural sleep patterns while still collecting comprehensive sleep data over multiple nights
Solution Approach 2:
The system allows patients to perform preliminary sleep monitoring at home before formal diagnosis, collecting baseline data in their natural environment. This preliminary action in a familiar setting reduces stress and maintains natural sleep patterns while providing valuable information for subsequent medical evaluation
3Ease of operation
If home sleep testing devices are used, then convenience is improved, but data collection is insufficient due to incorrect electrode placement
Solution Approach 1:
The patent removes the complex electrode placement requirement entirely by using a pulse oximeter that attaches to the finger or earlobe. This extraction of the measurement function to a simple, self-applying device maintains high data quality while dramatically improving ease of operation and eliminating placement errors
Solution Approach 2:
The invention replaces the mechanical electrode-skin contact system with an optical measurement system using light-absorbing probes. This substitution eliminates the need for precise mechanical placement on the head and body, allowing convenient attachment to peripheral areas like fingers while maintaining measurement accuracy
4Loss of information
If traditional PSG is used, then detailed sleep analysis is achieved, but the cost burden on the healthcare system increases significantly
Solution Approach 1:
The patent employs low-cost, disposable pulse oximeter probes that can be mass-produced and distributed widely. This approach dramatically reduces the cost per test compared to PSG while maintaining adequate detection capability for sleep apnea, thereby reducing the overall burden on the healthcare system
Solution Approach 2:
The invention segments the sleep monitoring function from the expensive PSG infrastructure, creating a standalone, low-cost measurement device. This segmentation allows widespread deployment of screening capabilities without requiring expensive laboratory facilities, thereby reducing healthcare costs while maintaining detection effectiveness
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 accurate, long-term data collection that reflects real sleep patterns, distinguishing between obstructive and central sleep apnea and assessing the role of sleeping position in OSA, thereby improving diagnosis and treatment adherence by providing actionable insights into sleep quality and therapy effectiveness.
Implementation Method 1
a pulse oximeter with a position sensor to track blood oxygen levels
Data Source
AI summary
An obstructive sleep apnea detection device including an optical engagement surface adapted to engage a user's skin; a light source adapted to emit light from the optical engagement surface; a photodetector adapted to detect light at the optical engagement surface and to generate a detected light signal; a position sensor adapted to determine patient sleeping position; a controller adapted to determine and record in memory blood oxygen saturation values computed from the detected light signal and user position information from the position sensor; and a housing supporting the optical engagement surface, the photodetector, the light source, the position sensor, and the controller.


