Cerebral Blood Flow Complex Number Conversion for Subtle State Detection
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Solution Overview
Problem
Existing disease condition determination apparatuses are unable to capture subtle changes in a subject's physiological state due to statistical processing of amplitude and phase changes in cerebral blood flow, which limits their accuracy in determining disease conditions.
Innovation Solution
A physiological state index calculation system that measures cerebral blood flow, filters the data using band-pass filters, converts it into complex numbers to obtain instantaneous amplitude and frequency, and aggregates these values to calculate probability distributions, allowing for the extraction of feature amounts representing the physiological state as multi-dimensional data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If statistical processing of amplitude and phase changes is used to determine disease conditions, then the determination process is simplified, but subtle changes in physiological state cannot be captured
Solution Approach 1:
The patent transforms the statistical processing approach into a time-frequency analysis approach by converting cerebral blood flow signals into complex numbers and extracting instantaneous amplitude and phase information. This dimensional transformation from simple statistical metrics to time-varying complex parameters enables capture of subtle physiological changes while maintaining analytical rigor through probability distribution modeling
2Measurement precision
If complex number conversion and probability distribution aggregation are performed, then subtle physiological changes can be detected, but the calculation complexity increases
Solution Approach 1:
The patent segments the cerebral blood flow signal analysis into distinct frequency bands and processes each band separately to extract instantaneous amplitude and phase. By dividing the complex signal processing task into manageable frequency-specific segments and aggregating results through probability distributions, the system achieves high measurement precision while organizing computational complexity into structured, manageable components
Data Source
AI summary
A physiological state index calculation system, a physiological state index calculation method, and a non-transitory computer readable medium for capturing subtle changes in a physiological state of a living body are provided. The physiological state index calculation system includes a band-pass filter that filters cerebral blood flow waveform information obtained from a cerebral blood flow of a living body in at least one frequency band, and a complex number conversion unit configured to convert the filtered cerebral blood flow waveform information into a complex number for at least one frequency band. The cerebral blood flow waveform information converted into a complex number by the complex number conversion unit is an oscillator that reflects a physiological state of a living body.