Biological Signal Imaging with Multichannel Threshold Feedback
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Solution Overview
Problem
Existing imaging control devices, such as those described in Japanese Unexamined Patent Application Publication No. 2021-177822, struggle to maintain R and B signal values within suitable ranges for detecting biological signals, leading to noise contamination when obtaining biological signals from G signal values.
Innovation Solution
A biological signal obtaining device that includes an imaging unit capturing pixel values across multiple channels, a representative value calculating unit determining channel-specific values, and a control unit setting conditions to ensure these values exceed set thresholds, followed by a biological signal calculating unit to derive the signal from these values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the imaging control device controls exposure time, gain, and white balance to optimize G signal values for biological signal detection, then the signal-to-noise ratio of the biological signal is increased, but the R signal value and B signal value cannot be contained within a suitable range for detecting biological signals and noise
Solution Approach 1:
The control unit independently adjusts imaging parameters (exposure time, gain, white balance) for each wavelength channel to ensure that representative values of all channels (R, G, B) are maintained within suitable ranges. This allows the system to simultaneously optimize signal quality across all channels, enabling noise removal using R and B signal values while maintaining high signal-to-noise ratio for biological signal detection.
2Measurement precision
If the imaging control device focuses only on optimizing G signal values, then the biological signal detection precision is improved, but the device cannot effectively remove noise using R and B signal values
Solution Approach 1:
The imaging control device is designed to simultaneously optimize imaging conditions for multiple wavelength channels (R, G, B), making each channel suitable for both biological signal detection and noise removal. The control unit ensures that representative values of all channels meet their respective set values, enabling the system to perform multiple functions: detecting biological signals with high precision and removing noise using any or all channels.
3Measurement precision
If the representative value of each channel is set to be greater than or equal to a set value, then the signal quality is improved, but the imaging condition complexity increases
Solution Approach 1:
The control unit continuously monitors the representative values of each channel and dynamically adjusts imaging parameters to maintain them above respective set values. This feedback mechanism automatically optimizes imaging conditions for all channels, ensuring high signal quality without requiring complex manual intervention. The system self-regulates to balance signal quality across all wavelength channels.
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
This approach enhances the precision of biological signal detection by effectively removing noise and accurately reflecting the condition of the biological subject through improved signal-to-noise ratios and precise representation of temporal variations.
Implementation Method 1
an imaging unit that performs imaging in accordance with an imaging condition, and to output pixel values of a plurality of pixels in each of channels that are included in two or more channels each corresponding to one of two or more wavelengths different from one another
Data Source
AI summary
A biological signal obtaining device includes: an imaging unit that performs imaging in accordance with an imaging condition, and to output pixel values of a plurality of pixels in each of channels that are included in two or more channels each corresponding to one of two or more wavelengths different from one another; a representative value calculating unit that calculates a representative value of each of the channels from pixel values of a plurality of intra-region pixels in a region showing a biological subject, the pixel values being included in the pixel values of the plurality of pixels; a control unit that sets the imaging condition so that the representative value of each of the channels is greater than, or equal to, a set value of each of the channels; and a biological signal calculating unit that calculates a biological signal from representative values of the two or more channels.