Wearable Sensor for Sleep Apnea and REM Monitoring
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Solution Overview
Problem
Existing solutions for addressing sleep-related conditions such as snoring, sleep apnea, and dozing are cumbersome, aesthetically unpleasing, and ineffective, failing to train individuals to sleep in positions that prevent these issues and often disturb others or fail to accurately detect REM sleep for potential psychological benefits.
Innovation Solution
A system featuring a thin, lightweight, stretchable sensor with integrated electronics that can be applied to the skin to monitor muscle activity, eye movement, and breathing patterns, coupled with an alert indicator that provides targeted, discreet alerts via an ear-mounted device to awaken individuals during REM sleep or when snoring or dozing, using wireless communication and a miniaturized speaker for audible alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a CPAP device is used to treat sleep apnea, then breathing is supported during sleep, but the device is cumbersome and uncomfortable to wear
Solution Approach 1:
The patent extracts the essential monitoring function (detecting sleep position and breathing patterns) from the complex CPAP system, using a simple wearable sensor that can be applied to the skin. This separates the monitoring role from the breathing support role, allowing a minimalistic device design that doesn't compromise treatment effectiveness.
Solution Approach 2:
The patent replaces mechanical breathing support mechanisms with electronic sensing and wireless communication systems. The wearable device uses sensors to detect physiological parameters and transmits data wirelessly, eliminating the need for bulky mechanical components while maintaining treatment reliability.
2Reliability
If conventional training methods are used to teach proper sleeping position, then sleep position can be corrected, but the training process is difficult and time-consuming
Solution Approach 1:
The patent implements immediate feedback by detecting sleep position through wearable sensors and providing real-time alerts when improper positioning is detected. This automated feedback loop eliminates the need for lengthy manual training periods, as the system continuously guides the user toward correct sleeping positions through instantaneous information about their current state.
Solution Approach 2:
The system enables self-monitoring and self-correction of sleep position without requiring external trainers or therapists. The wearable device autonomously detects position, processes data, and provides feedback, allowing users to independently learn and maintain proper sleeping habits over time.
3Reliability
If REM sleep detection is implemented to treat psychological conditions, then treatment effectiveness is improved, but accurate detection of eye movement during sleep is difficult
Solution Approach 1:
The patent replaces direct optical eye movement detection with electromyographic (EMG) sensing of the muscles that control eye movement. This substitution uses electrical signal detection instead of mechanical/optical measurement, enabling accurate REM detection through muscle activity patterns while avoiding the technical challenges of detecting eye position under closed eyelids.
Solution Approach 2:
The patent uses the muscles controlling eye movement as an intermediary to indirectly measure eye movement during REM sleep. Rather than directly observing eye position, the system detects EMG signals from the extraocular muscles, providing an indirect but accurate measure of REM activity that facilitates effective psychological treatment.
4Ease of operation
If a wearable sensor is designed to be thin and lightweight for comfort, then user comfort is improved, but sensor sensitivity and measurement accuracy may be compromised
Solution Approach 1:
The patent employs flexible thin-film sensors that can be applied directly to the skin, maintaining a minimal profile for comfort while incorporating sensitive detection elements. The flexible substrate allows the sensor to conform to body contours, ensuring both user comfort and consistent contact for accurate physiological measurement.
Solution Approach 2:
The wearable sensor utilizes composite material structures that combine flexible substrates with sensitive detection layers. This composite design enables the sensor to remain thin and comfortable for extended wear while incorporating multiple functional layers that enhance measurement precision through material property optimization.
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 effectively monitors and addresses multiple sleep-related conditions, providing discreet and comfortable monitoring and alerting, enhancing treatment for snoring, sleep apnea, and psychological sexual dysfunction while optimizing waking moments for mental clarity and reducing sleep-related accidents.
Implementation Method 1
a sensor configured for sensing snoring of the person
Implementation Method 2
detecting movement of the person's eyelids
Implementation Method 3
an alert indicator configured for providing alerts to the person
Data Source
AI summary
Treatment of sleep conditions is disclosed, particularly snoring, sleep apnea and the related problem of dozing while driving or engaging in activity requiring full attention. Also disclosed are means and methods of pinpointing sleep patterns, particularly therapeutic treatment of sexual disorders. Monitoring of REM sleep cycles to optimize the time for awakening one from sleep is also disclosed.