Wearable Hot Flash Prediction With Targeted Sleep Cooling
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Solution Overview
Problem
Hot flashes during sleep are challenging to manage due to their transitory nature and the difficulty in providing localized cooling, as existing technologies either disrupt sleep with intermittent adjustments or exacerbate temperature issues with room-wide cooling systems.
Innovation Solution
A wearable technology system that uses physiological sensors to predict hot flashes and proactively provides localized cooling or accelerated airflow for a limited time, integrating with exo-room devices to selectively cool the sleeping person.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Temperature
If room-wide air conditioning is activated all night long, then the person can maintain cool temperature during hot flashes, but energy consumption increases and the system cannot address transitory nature of hot flashes
Solution Approach 1:
The system uses wearable sensors to detect physiological changes and predict hot flash occurrence before it happens, allowing the cooling system to be activated in advance only when needed, rather than running continuously. This predictive approach enables targeted cooling during transitory hot flash events while minimizing overall energy consumption.
Solution Approach 2:
The system leverages the person's own physiological signals (detected by wearable sensors) to automatically trigger cooling only when the body indicates an impending hot flash. The system serves itself by using the user's biological data as the control input, eliminating the need for manual intervention or continuous operation.
2Use of energy by moving object
If intermittent cooling actions are taken to address transitory hot flashes, then energy consumption is reduced, but sleep is disrupted by frequent adjustments
Solution Approach 1:
By predicting hot flash occurrence using wearable sensor data, the system activates cooling before the hot flash actually occurs, ensuring continuous comfort without interruptions. The cooling starts in advance and runs smoothly through the entire hot flash event, preventing sleep disruption while maintaining energy efficiency.
Solution Approach 2:
The system continuously monitors physiological parameters through wearable sensors and uses this feedback to dynamically adjust cooling activation. The real-time feedback loop ensures cooling is applied at the optimal moment to maintain sleep continuity while addressing transitory hot flash events.
3Measurement precision
If wearable sensors and predictive algorithms are integrated with exo-room cooling devices, then accurate prediction and targeted cooling is achieved, but device complexity increases
Solution Approach 1:
The system is divided into separate functional modules: wearable sensors for physiological monitoring, predictive algorithms for hot flash detection, and exo-room cooling devices for temperature control. Each module operates independently but communicates through standardized interfaces, reducing overall system complexity while maintaining high measurement precision.
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
This system reduces sleep interruptions and improves quality of life by accurately predicting and mitigating hot flashes with targeted cooling, avoiding the drawbacks of existing technologies.
Implementation Method 1
a wearable sensor which is part of, or attached to, the wearable attachment member, wherein this wearable sensor collects data concerning the person's current body temperature
Implementation Method 2
a cooling and/or heating member whose operation changes the temperature of air in close proximity to the sleeping person
Implementation Method 3
Many of the air-conditioned beds are intra-room devices which transfer thermal energy from a location near the person to the ambient air in the room
Implementation Method 4
proactively provides localized cooling or accelerated airflow for that person for a limited time
Data Source
AI summary
This invention is a sleep environment control system which uses wearable technology with physiological sensors to predict when a person will have a hot flash and to proactively provide localized cooling or accelerated airflow for that person for a limited time to alleviate the adverse effects of that hot flash. In an example, a physiological sensor can be a body temperature sensor, skin conductance sensor, or EEG sensor. This system can reduce interruptions of a person's sleep due to hot flashes and improve their quality of life.