Wearable Pulse Oximeter for Opioid Overdose Detection
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Solution Overview
Problem
Current methods for detecting opioid overdose, particularly in individuals using prescription opioids, lack timely and accurate detection of low oxygen saturation, which can lead to irreversible damage or death due to respiratory depression, as they often require manual intervention and may not alert responders promptly enough.
Innovation Solution
A wearable device equipped with a pulse oximeter and a mobile computing application that continuously monitors oxygen saturation, respiration, and perfusion index, generating an overdose risk score and triggering alerts and notifications to caregivers and responders when oxygen saturation falls below a set threshold, facilitating early intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual intervention is used to detect opioid overdose, then device complexity is reduced, but detection speed and reliability deteriorate
Solution Approach 1:
The monitoring system is segmented into distinct functional modules: optical sensors for detecting physiological parameters, a processor for analyzing data and generating risk scores, and a notification system for alerting caregivers. This modular architecture improves detection reliability while managing system complexity through functional separation.
Solution Approach 2:
Manual detection methods are replaced with an automated electronic monitoring system that uses optical sensors and computer processing to detect opioid overdose. This substitution significantly improves detection reliability and speed, though it increases device complexity.
2Loss of time
If continuous monitoring is implemented, then detection speed improves, but energy consumption increases
Solution Approach 1:
The system performs periodic measurements of physiological parameters at scheduled intervals rather than continuous monitoring. This approach reduces energy consumption while maintaining timely detection capability, as the device can enter low-power states between measurement cycles.
Solution Approach 2:
The system maintains continuous monitoring capability through periodic measurements that continuously update the overdose risk assessment. This ensures timely detection while managing energy consumption by keeping the monitoring function actively engaged but not constantly consuming maximum power.
3Measurement precision
If multiple physiological parameters are monitored, then measurement precision improves, but device complexity increases
Solution Approach 1:
Different physiological parameters (oxygen saturation, heart rate, respiration rate) are measured by separate specialized sensors, each optimized for its specific function. This segmentation improves measurement precision for each parameter while managing overall system complexity through modular design.
Solution Approach 2:
The monitoring system is designed to measure multiple physiological parameters using a unified platform that processes data from various sensor types. This multi-functional approach improves detection precision by considering multiple indicators of opioid overdose simultaneously while managing complexity through integrated processing.
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 enables timely detection of opioid overdose, reducing the risk of irreversible damage by automatically alerting responders and providing critical care instructions, thereby increasing the chances of prompt medical intervention and reversing the overdose effects.
Implementation Method 1
the sensor has light emitting diodes (LEDs) that transmit optical radiation into a tissue site and a detector that responds to the intensity of the optical radiation after absorption (e.g., by transmission or transflectance) by, for example, pulsatile arterial blood flowing within the tissue site
Implementation Method 2
plethysmograph waveforms, which indicate changes in the volume of arterial blood with each pulse beat
Data Source
AI summary
An opioid overdose monitoring system configured to generate an overdose risk score of a user of a wearable device can include a physiological sensor coupled to the wearable device having one or more light emitting diodes of the physiological sensor configured to transmit an optical radiation into the tissue site of the user. One or more detectors of the physiological sensor can respond to an intensity of the optical radiation after absorption by the tissue site of the user. At least one hardware processor in communication with the physiological sensor can determine a plurality of parameters based at least on the attenuated light, determine a plurality of characteristics based on the plurality of parameters associated with at least one of instantaneous values and historical physiological parameter, determining an overdose risk score, determine an alarm level, and implement an intervention associated with the determined alarm level.