Real-time Phase Detection of Bioelectrical Brain Signals
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Solution Overview
Problem
Current medical devices face challenges in accurately determining the phase of frequency bands in bioelectrical brain signals, particularly for real-time applications, due to power and circuit space constraints, which can lead to less effective therapy delivery.
Innovation Solution
A frequency band phase detector is implemented, comprising frequency component phase detectors that weight more recent signal samples heavily, allowing for real-time phase determination of bioelectrical brain signals, such as the theta wave, with minimal power consumption and circuit real-estate, using a weighted average of phase information from multiple frequency components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional phase detection methods are used to accurately determine the phase of frequency bands in bioelectrical brain signals, then measurement precision is improved, but power consumption and circuit space requirements increase
Solution Approach 1:
The frequency band is divided into multiple frequency components, with a separate phase detector configured for each frequency component. Each phase detector processes only its specific frequency component, segmenting the overall phase detection task into smaller, more efficient sub-tasks that consume less power and require less circuit space while maintaining accurate phase determination for the entire frequency band.
2Measurement precision
If traditional phase detection methods are used to accurately determine the phase of frequency bands, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The frequency band is divided into multiple frequency components, with a separate phase detector configured for each frequency component. Each phase detector processes only its specific frequency component, segmenting the overall phase detection task into smaller, more efficient sub-tasks that consume less power and require less circuit space while maintaining accurate phase determination for the entire frequency band.
3Productivity
If real-time phase detection is implemented with minimal power consumption, then productivity is improved, but measurement precision deteriorates
Solution Approach 1:
The frequency band is divided into multiple frequency components, with a separate phase detector configured for each frequency component. Each phase detector processes only its specific frequency component, segmenting the overall phase detection task into smaller, more efficient sub-tasks that consume less power and require less circuit space while maintaining accurate phase determination for the entire frequency band.
Solution Approach 2:
The phase information from multiple frequency component detectors is combined through a weighted average calculation to produce the overall phase of the frequency band. This merging process integrates the accurate phase measurements from individual frequency components into a comprehensive phase determination that maintains precision while enabling real-time operation with minimal power consumption.
Data Source
AI summary
Techniques are described for real-time phase detection. For the phase detection, a signal is correlated with a frequency component of a frequency band whose phase is being detected, and the correlation includes predominantly decreasing weighting of past portions of the signals.