Physiological Sensor Signal Profile Matching for Blood Pressure Estimation
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Solution Overview
Problem
Conventional physiological sensing devices face challenges in obtaining precise estimations of physiological features like blood pressure due to varying user behaviors and device sizes, leading to unstable waveform features and inaccurate readings.
Innovation Solution
The method involves using a physiological sensor device in both normal and test sensing modes to generate and compare physiological signals, selecting an optimal signal, calculating compensation parameters, and establishing user profiles to achieve accurate estimations with minimal observations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional sensing device is used to estimate physiological feature, then the device can provide basic measurement capability, but the measurement precision deteriorates due to varying user behaviors and device sizes causing unstable waveform features
Solution Approach 1:
The system performs preliminary actions by collecting multiple test physiological signals before normal measurement, establishing a reference profile for each user. This preliminary data collection enables the system to adapt to individual user characteristics and device variations in advance, improving subsequent measurement precision despite varying user behaviors.
Solution Approach 2:
The system changes parameters by comparing waveform features across multiple test signals and identifying optimal characteristics. By analyzing variations in physiological signals under different conditions and selecting the most stable features, the system compensates for user behavior variations and maintains measurement accuracy.
2Measurement precision
If multiple test physiological signals are collected to improve estimation accuracy, then the measurement precision improves, but the loss of time increases due to requiring multiple observations
Solution Approach 1:
The system performs the time-consuming multiple signal collection and analysis as a preliminary one-time setup process to create user profiles. Once established, these profiles enable accurate single-observation measurements, thereby reducing time loss in subsequent normal usage while maintaining high measurement precision.
Solution Approach 2:
The system creates copies of physiological signal patterns by collecting multiple test signals and storing them as reference profiles. These copied patterns serve as templates for future measurements, allowing the system to quickly match new signals against stored profiles without repeating the extensive collection process.
3Measurement precision
If pressure sensor is added to detect externally exerted pressure, then the device complexity increases, but the measurement precision does not improve due to different user responses and device variations
Solution Approach 1:
The system extracts and removes the need for additional pressure sensors by directly analyzing the physiological signal waveforms themselves. By focusing on waveform feature comparisons and pattern recognition, the system derives pressure and physiological information from the existing photoplethysmogram signals without requiring separate sensing components.
Solution Approach 2:
The system replaces mechanical pressure sensing with signal processing and pattern analysis. Instead of using physical pressure sensors to detect force, the system uses computational methods to analyze waveform characteristics and infer physiological parameters, substituting a mechanical sensing approach with an information-processing approach.
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
This approach allows for precise estimation of physiological features with a single observation, accommodating different user behaviors and device variations, and enables profile management for multiple users, enhancing accuracy and usability.
Implementation Method 1
a conventional sensing device may estimate a user's physiological/biological feature such as blood pressure by referring to a physiological signal such as a photoplethysmogram signal
Data Source
AI summary
A method for obtaining an estimation of a physiological feature of a specific user includes: using a physiological sensor device under a normal sensing mode to sense the physiological feature of the specific user to generate a physiological signal of the normal sensing mode; determining a matched physiological signal from a plurality of test physiological signals by comparing the plurality of test physiological signals with the physiological signal of the normal sensing mode; and calculating a resultant estimation of the physiological feature of the specific user according to the matched physiological signal and the profile of the physiological feature of the specific user.