Ear-EEG Real-Time Calibration via Impedance and ML
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Solution Overview
Problem
Existing methods for assessing EEG signal quality from wearable Ear-EEG devices are inadequate for real-time calibration, particularly in consumer devices, due to the lack of effective techniques for detecting noise and ensuring optimal signal quality for applications like BCI and neurodegenerative disease detection.
Innovation Solution
A processor-implemented method and system for real-time calibration of EEG signals from wearable Ear-EEG devices, which involves receiving bioelectric signals, determining electrode contact through impedance values, verifying signal quality using flat channel detection, selecting appropriate electrodes based on signal characteristics, evaluating a quality index using machine learning, and recalibrating the device as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual inspection of EEG time series is used to assess signal quality, then expert judgment can identify noise and signal capture issues, but this approach is infeasible for consumer devices and lacks consistency as inspection may differ from one expert to another
Solution Approach 1:
The patent replaces manual visual inspection (mechanical/expert system) with an automated computational system that uses signal processing algorithms and machine learning models to assess EEG signal quality, making the process feasible for consumer devices while maintaining consistency
Solution Approach 2:
The system enables self-assessment of signal quality through automated algorithms that continuously monitor and evaluate EEG signals without requiring external expert intervention, allowing the device to independently determine signal quality and trigger appropriate actions
2Reliability
If scalp EEG recording is used to obtain brain activity signals, then good signal quality can be achieved, but the method lacks mobility and causes discomfort to the user
Solution Approach 1:
The patent extracts the EEG recording function from the traditional scalp electrode system and relocates it to ear wearable devices, separating the signal acquisition capability from the uncomfortable scalp contact while maintaining the essential brain activity monitoring function
Solution Approach 2:
The patent changes the physical location parameter of electrode placement from scalp to ear, and modifies the electrode-skin interface parameters to achieve both comfort and adequate signal quality in the new location
3Ease of operation
If ear wearable EEG devices are used to provide user-friendly monitoring with freedom of movement, then user comfort and mobility are improved, but the recorded signals contain significant noise and may fail to capture EEG from some channels due to poor skin-electrode connectivity
Solution Approach 1:
The patent implements real-time feedback mechanisms that continuously monitor signal quality metrics and provide feedback to adjust electrode contact pressure, trigger user alerts for recalibration, or activate noise reduction algorithms to maintain adequate signal quality
Solution Approach 2:
The patent performs preliminary calibration and impedance checking before actual EEG recording to ensure adequate skin-electrode connectivity, and uses preliminary signal quality assessment to identify and correct potential issues before they affect data collection
4Quantity of substance
If multiple electrodes are used to record EEG signals from ear wearables, then more brain activity channels can be monitored, but it becomes difficult to determine which electrodes have good contact and are receiving valid signals
Solution Approach 1:
The patent uses visual indicators (analogous to color changes) to display the status of each electrode, providing immediate visual feedback about which electrodes have good contact and are functioning properly, making it easy for users to identify problematic channels
Solution Approach 2:
The patent replaces manual assessment of electrode contact quality with automated impedance measurement and signal quality analysis systems that objectively determine which electrodes are functioning properly
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 real-time assessment and optimization of EEG signal quality, ensuring that only high-quality signals are used for applications like BCI, thereby improving the reliability and accuracy of brain activity monitoring.
Implementation Method 1
determining a contact of each of the plurality of electrodes with the user in order to receive the multitude of bioelectric signals based on a set of impedance values, wherein the set of impedance values is an impedance between each of the plurality of electrodes and a skin-body interface of the user
Data Source
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AI summary
The embodiments of the present disclosure herein address unresolved problems of quality of signals in real time for wearables to provide optimal signals which can be used for brain signal based applications. Further, conventional techniques fail to provide real-time calibration of wearable devices, to understand the quality of the signals from the wearable device. Embodiments herein provide a method and system for a real-time calibration of one or more Electroencephalography (EEG) signals received from a wearable Ear-EEG device. The system is leveraging quality of signals in real time for wearables to provide optimal signals which can be used for early detection of neurodegenerative disease and brain-computer interface (BCI) applications. Further, the system is able to detect electrodes in the wearable device where the EEG signals have not been collected because the contact was not established.