3D Physiological Detection via PPG Frequency Domain Analysis
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Solution Overview
Problem
Existing physiological detection systems are limited in their ability to accurately and efficiently detect and record three-dimensional physiological characteristics of users, particularly in a portable and wearable device context.
Innovation Solution
A physiological detection system and method that utilizes a portable device and a host to detect photoplethysmographic (PPG) signals from multiple pixel regions, convert these signals into frequency domain signals, retrieve peak spectral energy values, and construct a three-dimensional energy distribution to monitor physiological characteristics over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a portable device captures PPG signals from multiple pixel regions to enable three-dimensional physiological detection, then the measurement precision and information completeness are improved, but the device complexity and data processing burden increase
Solution Approach 1:
The system divides the detection area into multiple pixel regions, with each region independently capturing PPG signals from different body tissue locations. This segmentation enables three-dimensional physiological characteristic detection by processing signals from multiple spatial positions, thereby improving measurement precision while maintaining a relatively simple device structure through software-based regional division rather than multiple physical sensors
Solution Approach 2:
The patent transitions from traditional single-point physiological detection to three-dimensional detection by utilizing the spatial dimension provided by multiple pixel regions. The host device constructs three-dimensional energy distribution maps by mapping peak spectral energy values from different pixel regions onto a two-dimensional spatial grid with energy as the third dimension, enabling comprehensive physiological monitoring without significantly increasing hardware complexity
2Measurement precision
If the system converts PPG signals to frequency domain and retrieves peak spectral energy values for each pixel region, then the physiological characteristic detection accuracy is improved, but the energy consumption and processing time increase
Solution Approach 1:
The host device performs frequency domain conversion and peak spectral energy value retrieval for all pixel regions in advance, constructing three-dimensional energy distribution maps before long-term monitoring begins. This preliminary processing enables efficient long-term monitoring by pre-establishing the computational framework and reducing real-time processing demands, thereby managing energy consumption more effectively
Solution Approach 2:
The system uses the portable device to capture and transmit PPG signal data to the host device, which then performs the computationally intensive frequency domain analysis and three-dimensional reconstruction. This copying approach allows the low-power portable device to function as a simple data collector while the powerful host device handles complex processing, optimizing the energy efficiency of the overall system
3Reliability
If the system implements long-term recording of three-dimensional physiological characteristic variations, then the reliability and monitoring effectiveness are improved, but the data storage requirements and processing complexity increase
Solution Approach 1:
The host device extracts and stores only the essential three-dimensional energy distribution characteristics and key physiological parameters from the raw PPG signals, rather than storing all original multi-dimensional data. This extraction approach maintains long-term monitoring reliability by preserving the most informative features while significantly reducing data storage requirements
Solution Approach 2:
The system processes and analyzes three-dimensional energy distribution data in real-time, discarding redundant information while recovering and storing only the essential physiological characteristic variations. This approach enables long-term monitoring by maintaining data in a compressed, essential-form that reduces storage burden while preserving monitoring effectiveness
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 the detection and long-term recording of three-dimensional physiological characteristic variations, facilitating effective health monitoring and providing reliable physiological state information.
Implementation Method 1
outputting, by the portable device, a plurality of PPG signals each corresponding to one pixel region of a frame acquired by the portable device
Data Source
AI summary
A physiological detection system including an image sensor, a converting unit, a retrieving unit and a processing unit is provided. The image sensor includes a plurality of pixels respectively configured to output a PPG signal. The converting unit is configured to convert a plurality of PPG signals of a plurality of pixels regions to a plurality of frequency domain signals. The retrieving unit is configured to respectively retrieve a spectral energy of the frequency domain signals corresponding to each of the pixel regions. The processing unit is configured to construct a 3D energy distribution according to the spectral energies.