Pulse Signal Analysis via Spectrum Projection for TCM Diagnosis
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Solution Overview
Problem
Current pulse diagnosis techniques in traditional Chinese medicine lack effective quantitative calculus methods to reflect magnitude variations in space and time, making it difficult to accurately analyze pulse characteristics used by TCM doctors.
Innovation Solution
A method and apparatus for pulse signal analysis that decompose pulse signals into characteristics signals, perform spectrum projection, and quantify data to determine physiological conditions, effectively capturing variations related to space (Chon, Gwan, and Check) and time (floating, moderate, sinking) by calculating energy density and average period, and comparing with reference data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If linear frequency division (Fourier transform) or timing characteristics analysis (wavelet transform) is used for pulse waveform quantization, then the analysis can be implemented with conventional techniques, but it is hard to reflect pulse characteristics used by TCM doctors including magnitude variation in space (Chon, Gwan and Check) and time (floating, moderate, sinking)
Solution Approach 1:
The patent applies segmentation by decomposing the pulse signal into multiple characteristic signals (first, second, third characteristic signals) with different physiological significances. Each characteristic signal is then analyzed separately through spectrum projection to generate corresponding spectra, allowing precise measurement of specific pulse characteristics (Chon, Gwan, Check, floating, moderate, sinking) while maintaining manageable analysis complexity through structured decomposition
Solution Approach 2:
The patent transitions from conventional time-domain or frequency-domain analysis to a combined time-frequency-energy domain analysis. By performing spectrum projection on decomposed characteristic signals and calculating energy density and average period, the method adds dimensional information (energy distribution across frequency and time) that enables precise characterization of TCM pulse properties without excessive complexity
2Adaptability or versatility
If pulse rate variability frequency domain quantization characteristics from western medicine is adopted as reference display indicator, then the evaluation of autonomic nervous function can be performed, but it cannot accurately reflect TCM pulse diagnosis characteristics
Solution Approach 1:
The patent applies local quality by assigning different physiological significances to different characteristic signals and their corresponding spectra. Each characteristic signal represents specific local aspects of pulse characteristics (e.g., Chon, Gwan, Check, floating, moderate, sinking), allowing the system to adapt to TCM diagnostic requirements while maintaining measurement precision through specialized analysis of each local characteristic
Solution Approach 2:
The patent changes the analysis parameters from conventional western medicine pulse rate variability to TCM-specific parameters including energy density, average period, and spectral characteristics of decomposed signals. This parameter transformation enables the system to accurately reflect TCM pulse diagnosis characteristics while maintaining diagnostic versatility through quantitative analysis
Data Source
AI summary
A method and an apparatus for pulse signal analyzing are provided. The method includes: receiving a pulse signal; decomposing the pulse signal into a plurality of characteristics signal; generating a spectrum for each of the plurality of characteristics signal by using a spectrum projection; obtaining a plurality of quantized data for each of the plurality of characteristics signal by quantizing the spectrum corresponding to each of the plurality of characteristics signal; and determining a physiological condition corresponding to the pulse signal according to the plurality of quantized data of the plurality of characteristics signal.