Dynamic Sleep Bedtime Adjustment for Adherence
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Solution Overview
Problem
Traditional sleep consolidation therapy is challenging for patients due to its stringent and rigid sleep schedule requirements, leading to increased daytime sleepiness and disrupted sleep, which can result in decreased adherence and effectiveness.
Innovation Solution
A system and method that uses wearable sensors and a processor-based system to dynamically determine a recommended bedtime for a patient by monitoring wake and sleep periods, optimizing sleep consolidation therapy by considering accumulated sleep debt and predicted sleep quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional sleep consolidation therapy prescribes fixed bed and wake times based on average sleep data, then sleep efficiency can be improved, but patient adherence deteriorates due to increased daytime sleepiness and disrupted sleep
Solution Approach 1:
The system dynamically adjusts bedtime recommendations based on real-time monitoring of sleep stages and wake periods. Instead of prescribing fixed bed times, the system calculates optimal bedtime as the sum of target sleep duration and actual wake time, allowing the schedule to adapt daily to the patient's actual sleep patterns and needs.
Solution Approach 2:
The system continuously monitors sleep characteristics including wake periods, sleep stages, and sleep quality metrics. This feedback is used to adjust bedtime recommendations for subsequent nights, creating a closed-loop system that adapts to patient response and improves adherence while maintaining sleep efficiency.
2Productivity
If sleep consolidation therapy uses rigid sleep schedules with fixed bed and wake times, then sleep pressure can be built effectively, but sleep quality deteriorates due to initial disruptions and daytime sleepiness
Solution Approach 1:
The system allows flexible adjustment of bedtime while maintaining consistent wake time, enabling sleep pressure accumulation without rigid scheduling. The dynamic calculation of optimal bedtime based on actual wake time allows the system to maintain sleep restriction principles while adapting to daily variations in sleep need and quality.
3Measurement precision
If traditional therapy requires two weeks of strict sleep log keeping and schedule adherence, then treatment effectiveness can be assessed, but treatment duration and complexity increase
Solution Approach 1:
The system automatically monitors and tracks sleep characteristics using sensors and algorithms, eliminating the need for manual sleep log keeping. The system self-adjusts bedtime recommendations based on monitored data, reducing patient burden while maintaining precise measurement of sleep efficiency and treatment response.
Data Source
AI summary
A method of administering sleep consolidation therapy to a patient to treat a sleep disorder of the patient. The method includes monitoring, via a first number of sensors, a number of characteristics and/or activities of the patient during a number of wake periods of the patient. The method further includes determining, at least in-part from the monitoring of the number of wake periods, a recommended bedtime for the patient for starting a particular sleep period and providing the recommended bedtime for starting the particular sleep period to the patient.