Biomarker-Based Sleep Profile Enhancement via Neural Stimulation
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Solution Overview
Problem
Traditional techniques for measuring brain activity and enhancing sleep are limited in their ability to effectively utilize these measurements to improve sleep quality.
Innovation Solution
Systems and methods involving electrodes to measure brain activity, processing devices to generate target sleep profiles based on biomarkers, and controllers to stimulate the brain with tailored parameters to achieve an ideal sleep profile.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional measurement techniques are used to measure brain activity, then the measurement process is simple, but the ability to effectively utilize measurements to enhance sleep is limited
Solution Approach 1:
The system segments the sleep enhancement process into distinct functional modules: brain activity measurement (EEG electrodes), biomarker extraction and analysis, target sleep profile generation, and personalized stimulation delivery. This segmentation allows each component to be optimized independently while maintaining overall system effectiveness for improving sleep quality.
Solution Approach 2:
The system dynamically changes stimulation parameters (frequency, amplitude, duration) based on real-time brain activity measurements and extracted biomarkers. By adjusting these parameters according to the user's specific neural patterns and target sleep profile, the system achieves reliable sleep enhancement while adapting to individual variations in brain function.
2Adaptability or versatility
If personalized target sleep profiles are generated based on biomarkers, then sleep profile customization is improved, but processing complexity increases
Solution Approach 1:
The system implements a closed-loop feedback mechanism where brain activity is continuously measured, biomarkers are extracted in real-time, and stimulation parameters are adjusted based on the comparison between current and target sleep profiles. This feedback-driven approach enables personalized sleep profile adaptation without requiring excessively complex processing, as the system learns and adjusts based on observed neural responses.
Solution Approach 2:
The system performs preliminary analysis of brain activity patterns during wakefulness or light sleep to establish baseline biomarkers and generate initial target sleep profiles before actual sleep enhancement begins. This preliminary action reduces the processing complexity during critical sleep phases while still achieving personalized customization through pre-computed stimulation parameters and target profiles.
3Reliability
If brain stimulation is applied to achieve target sleep profile, then sleep quality enhancement is improved, but energy consumption increases
Solution Approach 1:
The system applies brain stimulation in periodic bursts synchronized with natural brain oscillations and sleep cycles rather than continuous stimulation. By timing stimulation delivery to coincide with critical transition periods in sleep architecture and utilizing the brain's natural rhythmic patterns, the system achieves effective sleep quality enhancement with reduced overall energy consumption compared to continuous stimulation approaches.
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 solution enables the identification and modification of biomarkers to custom-tailor sleep profiles, enhancing sleep quality by applying appropriate stimuli to match the target sleep profile, thereby improving sleep efficiency and quality.
Implementation Method 1
A human brain may include neurons which exhibit measurable electrical signals when active. Accordingly, various measuring modalities, such as electrodes, may be used to measure such electrical activity.
Implementation Method 2
a controller comprising one or more processors configured to generate a control signal based on the plurality of stimulus parameters. In some embodiments, the controller is further configured to use the control signal stimulate to the brain of the user via the plurality of electrodes
Data Source
AI summary
Provided are systems, methods, and devices for biomarker shaping and sleep profile enhancement. Systems include a plurality of electrodes configured to be coupled to a brain of a user and configured to obtain a plurality of measurements from the brain of the user, and an interface configured to obtain the plurality of measurements from at least the plurality of electrodes. Systems also include a processing device comprising one or more processors configured to generate a first target sleep profile for the user based, at least in part, on the plurality of measurements and a plurality of biomarkers, the processing device being further configured to generate a plurality of stimulus parameters based, at least in part, on the target profile.