3D Energy Distribution for Microcirculation Detection
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Solution Overview
Problem
Current portable and wearable electronic devices lack effective methods for detecting and monitoring three-dimensional physiological characteristics, particularly skin microcirculation, which is essential for health monitoring and self-supervision.
Innovation Solution
An array physiological detection system comprising a light source, a photosensitive array, and a processing unit that generates a 3D energy distribution of physiological characteristics by converting photoplethysmography signals into frequency domain data, calculates variance and average values, and identifies microcirculation states, notifying users through images or sound.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a photosensitive array with multiple pixels is used to detect physiological characteristics, then the measurement precision and ability to detect three-dimensional physiological characteristics is improved, but the device complexity increases
Solution Approach 1:
The detection system is segmented into multiple independent photosensitive pixels arranged in an array, where each pixel independently detects physiological characteristics of different tissue areas. This segmentation enables three-dimensional physiological characteristic detection while maintaining manageable complexity through modular architecture
Solution Approach 2:
The patent transitions from single-point detection to multi-point spatial detection by arranging photosensitive pixels in an array configuration. This dimensional expansion from 1D to 2D/3D detection space enables comprehensive physiological monitoring while distributing the complexity across multiple simple pixel units
2Reliability
If photoplethysmography signals are converted to frequency domain data to generate 3D energy distribution, then the reliability of microcirculation state identification is improved, but the processing time and computational complexity increase
Solution Approach 1:
The system performs frequency domain conversion and 3D energy distribution generation as preliminary processing steps before microcirculation state identification. By pre-computing the energy distribution across frequency and spatial dimensions, the system establishes a reliable foundation for subsequent state classification while enabling efficient real-time monitoring
Solution Approach 2:
The patent replaces time-domain signal analysis with frequency-domain analysis using spectral energy distribution. This substitution transforms the processing approach from direct temporal measurement to frequency spectrum analysis, improving reliability through better noise filtering and feature extraction despite increased computational requirements
3Measurement precision
If variance and average value calculations are performed on 3D energy distribution to identify microcirculation states, then the accuracy of health condition monitoring is improved, but the energy consumption increases
Solution Approach 1:
The system extracts only the essential statistical features (variance and average value) from the comprehensive 3D energy distribution data. By selecting and computing only these two key parameters for microcirculation state identification, the system maintains high monitoring accuracy while significantly reducing computational energy consumption compared to analyzing the complete energy distribution
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
Enables reliable, long-term monitoring of vascular dilation and constriction, allowing users to track health conditions and providing highly reliable physiological information for self-supervision, suitable for integration with medical examination results.
Implementation Method 1
each of the plurality of photosensitive pixels is configured to output a plurality of brightness signals as a photoplethysmography (PPG) signal by continuously detecting light from the skin area
Data Source
AI summary
A physiological detection system including an array sensor and a processing unit is provided. The array sensor is configured to output array PPG signals. The processing unit is configured to construct a 3D energy distribution according to the array PPG signals to accordingly identify different microcirculation states.


