Behind-the-Ear EEG Glucose Forecasting Before Abnormal Levels
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current continuous glucose monitors rely on interstitial glucose measurements with inherent lag times and are unable to anticipate abnormal glucose levels, leading to reactive responses after hypo or hyperglycemic events have occurred, and patients with severe disease may have chronically elevated glucose levels refractory to conventional treatments.
Innovation Solution
Non-invasive glucose forecasting systems using behind-the-ear EEG devices to predict future glucose levels through brain activity decoding, integrated with closed-loop management to provide preemptive treatment, such as insulin delivery or brain stimulation, to maintain healthy glucose levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If interstitial glucose measurements are used for monitoring, then glucose levels can be continuously tracked, but inherent lag times prevent anticipation of abnormal glucose levels
Solution Approach 1:
The system performs preliminary action by detecting EEG signal changes that precede glucose level changes, allowing the system to predict future glucose levels before actual hypoglycemic or hyperglycemic events occur. This enables preemptive insulin delivery or alerts to be initiated in advance, resolving the time delay problem inherent in traditional interstitial glucose monitoring.
2Reliability
If conventional glucose monitoring is used, then current glucose levels are known, but reactive responses occur only after hypo or hyperglycemic events have occurred
Solution Approach 1:
The system detects characteristic EEG signal patterns that indicate impending glucose abnormalities before they manifest in interstitial glucose measurements. This preliminary detection enables the system to trigger alerts or automated insulin delivery in advance, transforming reactive glucose management into proactive intervention and significantly reducing intervention delay.
3Loss of time
If behind-the-ear EEG devices are used for glucose forecasting, then future glucose levels can be predicted in advance, but device placement and signal processing complexity increase
Solution Approach 1:
The system extracts only the specific EEG signal features and frequency bands that are most strongly correlated with glucose level changes, rather than processing the entire EEG spectrum. This selective extraction approach maintains the predictive capability while significantly reducing computational complexity and enabling implementation on portable devices.
Solution Approach 2:
The patent employs machine learning algorithms as an intermediary layer between the raw EEG signals and the glucose prediction output. This intermediary processes the complex EEG data, identifies relevant patterns, and translates them into glucose level forecasts, simplifying the overall system architecture while maintaining high predictive accuracy.
Data Source
AI summary
Glucose forecasting systems and methods that include a minimally invasive scalp-worn behind-the-ear EEG device that includes first and second sensors. With an application on a personal device, analyzing the processed EEG signals with a trained forecasting model and forecasting future glucose levels, of the subject; causing the personal device to visually present on a display information that is indicative of the forecasted future glucose levels.