Brain Mapping System Using Pseudorandom Stimulus Epochs
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Solution Overview
Problem
Conventional brain activity acquisition techniques are limited by their temporal or spatial resolutions, making real-time monitoring infeasible, hindering progress in clinical applications.
Innovation Solution
A brain mapping system that includes a device for collecting brain signals, a stimulator generating a pseudorandom sequence, and a processor that segments signals into epochs and correlates features with the sequence to generate correlation functions for real-time monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional brain activity acquisition techniques are used, then the system structure is relatively simple, but the temporal and spatial resolutions are limited making real-time monitoring infeasible
Solution Approach 1:
The brain signals are segmented into epochs synchronized with stimulus presentation. Each epoch represents a time window containing brain activity in response to specific stimuli, allowing temporal resolution of neural responses without requiring continuously complex high-speed acquisition systems
Solution Approach 2:
Pseudorandom sequences are used to periodically stimulate specific brain regions in a structured manner. This periodic stimulation pattern enables the system to achieve high temporal resolution by correlating brain signals with known stimulus timing, effectively resolving the contradiction between measurement precision and device complexity
2Speed
If real-time brain monitoring is implemented, then the temporal resolution is improved, but the data processing complexity and computational requirements increase
Solution Approach 1:
Brain signals are pre-processed by segmenting them into epochs before correlation analysis. This preliminary organization of data into stimulus-synchronized time windows simplifies subsequent real-time processing and reduces computational complexity compared to analyzing continuous raw signals
Solution Approach 2:
The system uses correlation functions to provide feedback about brain activity patterns in real-time. By continuously computing correlations between segmented brain signals and pseudorandom sequences, the system achieves real-time monitoring capability while maintaining manageable data processing complexity through efficient feedback mechanisms
Data Source
AI summary
A brain mapping system includes a brain signal acquisition device for collecting brain signals corresponding to different locations of the brain, a stimulator for generating a stimulus based upon a pseudorandom sequence, and a processor for segmenting the brain signals into a plurality of epochs and correlating features extracted from the epochs with the pseudorandom sequence to generate correlation functions, wherein a brain map is constructed by the correlation functions.