Sleep Onset Detection via Breathing Cue Conformance
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Solution Overview
Problem
Conventional devices delivering positive airway pressure therapy often inhibit sleep due to discomfort, failing to delay therapy until sleep onset, and lack effective detection of awake-to-sleep transitions.
Innovation Solution
A system comprising sensors and a processor that generates breathing cues by adjusting gas parameters in a pressurized flow, determining conformance to these cues, and distinguishing between awake and asleep states to initiate therapy appropriately.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If positive airway pressure therapy is delivered to support the airway during sleep, then obstructive respiratory events are reduced or eliminated, but the subject experiences discomfort that inhibits sleep onset
Solution Approach 1:
The system provides preliminary action by detecting sleep onset before initiating full positive airway pressure therapy. The ramp module delivers gradually increasing pressure in advance of the main therapy, and the sleep onset detection module identifies the transition point to trigger therapy initiation, ensuring the airway is supported before obstructive events can occur while minimizing initial discomfort
Solution Approach 2:
The system applies dynamics by making the pressure delivery adaptive and variable rather than static. The ramp module dynamically adjusts pressure from low to therapeutic levels, the sleep onset detection continuously monitors breathing parameters to identify state transitions, and the therapy initiation is dynamically triggered based on detected sleep onset, allowing the system to adapt to the subject's physiological state
2Ease of operation
If conventional systems ramp pressure slowly to reduce discomfort, then ease of use is improved, but therapy is consistently inhibited and does not delay until after sleep onset
Solution Approach 1:
The system implements feedback by continuously monitoring breathing parameters through sensors and using this information to detect sleep onset. The sleep onset detection module analyzes breathing patterns in real-time, and when sleep onset is detected, this feedback triggers the ramp module to initiate or adjust pressure delivery, ensuring therapy begins at the optimal moment rather than being inhibited by conservative ramping alone
Solution Approach 2:
The system applies parameter changes by transitioning from a static or purely time-based pressure delivery approach to a state-based approach. The sleep onset detection module identifies physiological state changes through breathing parameter analysis, and this state information is used to change the pressure delivery parameters - initiating or adjusting pressure specifically when sleep onset occurs rather than following a fixed ramp schedule
3Ease of operation
If sleep onset detection is implemented to delay therapy initiation, then comfort is improved, but the system complexity increases due to additional sensors and processing requirements
Solution Approach 1:
The system applies universality by designing the sleep onset detection module to perform multiple functions: it monitors breathing parameters for sleep onset detection, analyzes breathing patterns to distinguish wakeful from asleep states, and provides this state information to control pressure delivery timing. This multi-functional approach consolidates detection capabilities into a single integrated module rather than requiring separate systems for each function
Solution Approach 2:
The system uses an intermediary approach by employing the sleep onset detection module as a mediator between the sensors and the pressure delivery system. The detection module processes sensor inputs and translates them into sleep state determinations, which then serve as triggers for the ramp module to initiate or adjust pressure delivery, creating an intermediate layer that simplifies the overall control architecture
Data Source
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AI summary
A wake-to-sleep transition for a subject is detected based on responsiveness to breathing cues provided to the subject. A pressurized flow of breathable gas to the airway of subject having one or more gas parameters that are adjusted to provide breathing cues to the subject. Based on a detected conformance of the respiration of the subject to the breathing cues, a determination is made as to whether the subject is awake or asleep.