Optical Brain-Computer Interface for High-Resolution Signal Detection
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Solution Overview
Problem
Conventional brain-computer interfaces face challenges such as low resolution and signal-to-noise ratio, limited application to binary data, and lengthy training times, while invasive methods are restricted to medical use and limited sensory decoding.
Innovation Solution
The development of a non-invasive brain-computer interface platform utilizing laser/optical-based brain signal acquisition, decoding modalities, encoding modalities, and enhanced signal-to-noise ratio, along with motion artefact reduction, to enable high-resolution decoding of neural activities associated with various sensory modalities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional EEG devices are used to detect brain signals, then the device is non-invasive and easy to apply, but the resolution and signal-to-noise ratio are poor
Solution Approach 1:
The patent replaces conventional electrical EEG detection with optical detection using laser sources and photodetectors. This substitution enables high-resolution brain signal detection through optical properties of brain tissue while maintaining non-invasive characteristics, resolving the contradiction between measurement precision and device complexity
Solution Approach 2:
The patent changes the detection parameter from electrical signals to optical signals (light absorption and scattering properties). By using laser wavelengths and measuring optical density changes in brain tissue, the system achieves high-resolution signals without invasive procedures, addressing the contradiction between signal quality and device simplicity
2Adaptability or versatility
If conventional EEG devices are used, then the device is portable and non-invasive, but the application is limited to binary data distinction
Solution Approach 1:
The patent transitions from binary classification to multi-dimensional signal analysis by detecting multiple optical parameters simultaneously (absorption, scattering, hemodynamic responses). This enables discrimination of multiple sensory modalities and complex brain states beyond simple binary decisions, expanding application versatility while maintaining high precision
Solution Approach 2:
The optical detection system is designed to detect multiple types of brain activities simultaneously including sensory processing, motor planning, and cognitive functions. The same device platform can distinguish various sensory modalities (visual, auditory, tactile) and perform multiple applications, achieving both versatility and precision
3Loss of time
If conventional EEG training is used to associate brain signals with commands, then the system can be trained, but the training time is lengthy
Solution Approach 1:
The system implements real-time feedback mechanisms where detected optical brain signals are immediately processed and translated into controllable outputs. This continuous feedback loop enables rapid learning and adaptation, significantly reducing training time while maintaining high signal association accuracy through iterative optimization
Solution Approach 2:
The patent employs preliminary signal processing and feature extraction techniques that prepare brain signals for classification before user interaction begins. By pre-processing optical signals to extract relevant features and reduce noise, the system accelerates the training process while ensuring accurate signal-to-command association from the outset
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 achieves high-resolution, portable, and enhanced data collection capabilities, enabling nuanced user interactions and decoding of multiple sensory modalities, thereby overcoming the limitations of conventional BCIs.
Implementation Method 1
optical source configured to emit an optical signal into a brain of a user
Implementation Method 2
detector configured to detect optical signals that have exited the brain tissue
Data Source
AI summary
Systems, methods and wearable devices associated with mind/brain-computer interfaces are disclosed. Embodiments herein include features related to one or more of optical-based brain signal acquisition, decoding modalities, encoding modalities, brain-computer interfacing, AR/VR content interaction, signal to noise ration enhancement, and/or motion artefact reduction, among other features set forth herein. Certain implementations may include or involve processes of collecting and processing brain activity data, such as those associated with the use of a brain-computer interface that enables, for example, decoding and/or encoding a user's brain functioning, neural activities, and/or activity patterns associated with thoughts, including sensory-based thoughts. Further, the present systems and methods may be configured to leverage brain-computer interface and/or non-invasive wearable device aspects to provide enhanced user interactions for next-generation wearable devices, controllers, and/or other computing components based on the human thoughts, brain signals, and/or mind activity that are detected and processed.