Biosignal Analysis Device with Dynamic Parameter Adjustment
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Solution Overview
Problem
Conventional biosignal analysis methods face challenges in ease of use, efficiency, and managing environmental changes, requiring skilled personnel and time-consuming manual preprocessing with a risk of arbitrary operations.
Innovation Solution
An analysis device and method that includes a user-friendly interface for adjusting parameters, automated data division based on biosignal strength and appearance frequency, and optimized parameter determination for efficient preprocessing and analysis, allowing real-time continuous analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual preprocessing is performed by a person skilled in biosignal processing, then analysis accuracy can be improved through skilled operation, but the processing time increases significantly and requires high skill level
Solution Approach 1:
The system performs preliminary automatic preprocessing and parameter optimization before analysis, preparing the biosignal data in advance with optimal parameters determined through automated evaluation. This preliminary action reduces the need for time-consuming manual preprocessing while maintaining analysis accuracy.
Solution Approach 2:
The system enables self-service preprocessing by automatically evaluating multiple parameter combinations and selecting the optimal ones without requiring manual intervention. The biosignal processing system serves itself by autonomously determining preprocessing parameters and performing initial processing steps.
2Productivity
If parameters and processing flow are predetermined by a person skilled in biosignal processing, then processing efficiency can be improved, but the system has difficulty adapting to environmental changes during measurement
Solution Approach 1:
The system dynamically adjusts preprocessing parameters based on the actual characteristics of the biosignal being processed. Rather than using fixed predetermined parameters, the system adapts parameters in real-time according to signal properties, enabling both efficiency and adaptability to environmental changes.
Solution Approach 2:
The system incorporates feedback mechanisms that evaluate the effectiveness of preprocessing parameters and adjust them accordingly. By monitoring processing results and signal characteristics, the system provides feedback to optimize parameters, ensuring adaptability to environmental changes while maintaining processing efficiency.
3Ease of operation
If automated parameter derivation is implemented, then ease of operation can be improved, but the ability to manage environmental changes during measurement may be reduced
Solution Approach 1:
The automated parameter derivation system performs self-service by autonomously evaluating parameter combinations and selecting optimal values without requiring user intervention. This maintains ease of operation while the system's internal evaluation mechanisms ensure adaptability to environmental changes through automatic parameter adjustment.
Data Source
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AI summary
An analysis unit (155) of an analysis device (10) analyzes data indicating a biosignal by using a predetermined analysis technique and an updated parameter corresponding to the predetermined analysis technique every time the parameter is updated. A display control unit (156) controls a display unit to display an analysis result obtained by the analysis unit (155) together with an interface capable of changing display modes in response to user's operation. Furthermore, an updating unit (157) updates the parameter based on a change in the display modes for the interface.