Spectrum Processing Apparatus for Compact Biosignal Detection
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Solution Overview
Problem
Conventional Raman spectroscopy systems face challenges in miniaturization due to their wide spectral bands and high resolution requirements, which hinder the development of compact spectrometers suitable for wearable or mobile devices, leading to reduced signal-to-noise ratios and increased size limitations.
Innovation Solution
A spectrum processing apparatus and method that split optical spectra into multiple bands, determine key bands based on measurement accuracy, object type, and device capabilities, and adjust resolution to optimize biosignal measurement, using techniques like Random Forest Regression and Partial Least Square Regression to select and rank bands for improved performance and size reduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a wide Raman spectral band is used to maintain measurement accuracy, then measurement precision is improved, but device size increases and signal-to-noise ratio decreases
Solution Approach 1:
The patent divides the wide Raman spectral band into multiple narrow spectral bands, each detected by a separate detecting stage with a band-pass filter. This segmentation allows the system to maintain measurement accuracy by analyzing multiple narrow bands while keeping each individual detecting stage compact, thus resolving the contradiction between wide spectral coverage and small device size
Solution Approach 2:
The patent transitions from detecting a wide spectral band in a single dimension to detecting multiple narrow spectral bands across multiple dimensions (multiple detecting stages). By stacking multiple detecting stages with different band-pass filters, the system achieves wide spectral coverage through dimensional expansion rather than increasing the size of a single detecting stage
2Measurement precision
If high resolution is maintained to ensure measurement accuracy, then measurement precision is improved, but signal-to-noise ratio decreases due to reduced light amount
Solution Approach 1:
The patent segments the wide spectral band into multiple narrow bands, allowing each detecting stage to concentrate light within a specific narrow band. This segmentation enables high resolution for each band while maintaining adequate light amount by distributing the detection across multiple stages, thus improving both measurement precision and signal-to-noise ratio
Solution Approach 2:
The patent combines the results from multiple detecting stages, each detecting a narrow spectral band, to reconstruct the complete Raman spectrum. By merging the signals from multiple stages, the system achieves high resolution equivalent to wide-band detection while maintaining the signal-to-noise ratio benefits of narrow-band detection at each stage
3Adaptability or versatility
If multiple band-pass filters are used to cover a wide spectral band, then spectral coverage is improved, but device complexity and size increase
Solution Approach 1:
The patent segments the spectral coverage requirement into multiple detecting stages, each responsible for a specific narrow band. This segmentation allows the system to achieve wide spectral coverage through a modular architecture, where each stage is relatively simple but the combination provides comprehensive coverage, reducing overall device complexity compared to a single complex wide-band detector
Solution Approach 2:
The patent creates a modular detecting stage design that can be replicated and configured for different spectral regions. Each detecting stage serves as a universal module that can detect any narrow spectral band by simply changing the band-pass filter, providing versatility and wide spectral coverage without increasing the complexity of the basic detecting stage architecture
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 approach enables the creation of smaller, more efficient spectrometers with improved signal-to-noise ratios and reduced power consumption, balancing performance and size while maintaining measurement accuracy, suitable for integration into wearable or mobile devices.
Implementation Method 1
obtain an optical spectrum from a light that is scattered or reflected from a subject
Implementation Method 2
obtain an optical spectrum from a light that is scattered or reflected from a subject
Data Source
AI summary
A spectrum processing apparatus includes: a spectrum obtainer configured to obtain an optical spectrum from a light that is scattered or reflected from a subject; and a processor configured to split the optical spectrum into a plurality of bands, determine, based on a predetermined measurement accuracy for measuring a biosignal from the light, one or more key bands from the plurality of bands, and obtain the biosignal from the determined key bands.