Pulse Wave Sensor Bio-Information Estimation
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Solution Overview
Problem
Current bio-information estimation technologies face challenges in accurately monitoring health conditions outside clinical settings, particularly in estimating blood pressure and other cardiovascular metrics using pulse wave signals, especially during unstable conditions or when signal quality is poor.
Innovation Solution
An apparatus and method that utilize a pulse wave sensor and processor to detect characteristic points from pulse wave signals, apply preprocessing techniques, and estimate bio-information by obtaining and weighting characteristic points based on time information, ensuring reliable data even in unstable conditions through calibration and statistical analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If pulse wave signals are measured during unstable conditions or when signal quality is poor, then mobile healthcare monitoring can be performed anywhere and anytime, but the accuracy of bio-information estimation deteriorates
Solution Approach 1:
The system performs calibration by obtaining characteristic points from pulse wave signals measured during stable conditions before actual bio-information estimation. This preliminary action establishes reference data that compensates for poor signal quality during mobile monitoring, resolving the contradiction between mobility and accuracy.
Solution Approach 2:
Characteristic points serve as an intermediary between the raw pulse wave signals and the final bio-information estimation. By extracting and utilizing these characteristic points from both calibration and measurement phases, the system maintains estimation accuracy even when direct signal quality is poor during mobile monitoring.
2Measurement precision
If characteristic point detection algorithms are applied to improve estimation accuracy, then bio-information can be accurately estimated, but the computational complexity and processing time increase
Solution Approach 1:
The system extracts only the essential characteristic points from the pulse wave signals rather than performing comprehensive signal analysis. This extraction approach maintains estimation accuracy by focusing on key features while significantly reducing computational complexity and processing requirements.
3Reliability
If multiple characteristic points are obtained and statistical analysis is performed to improve reliability, then estimation accuracy under unstable conditions improves, but the processing time and computational load increase
Solution Approach 1:
The system performs statistical analysis on characteristic points during the calibration phase when the device is in a stable state, rather than during real-time mobile monitoring. This preliminary statistical processing establishes reliable reference data that can be quickly applied during actual measurements, improving reliability without adding processing time during critical monitoring moments.
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 enables accurate estimation of bio-information such as blood pressure, vascular compliance, and cardiac output, even in non-stable conditions, by improving signal quality and reliability, thus enhancing mobile healthcare monitoring capabilities.
Implementation Method 1
a light source configured to emit light toward the object, and a detector configured to detect light reflected by or scattered from the object
Implementation Method 2
a light source configured to emit light toward the object, and a detector configured to detect light reflected by or scattered from the object
Data Source
AI summary
Provided is an apparatus for non-invasively estimating bio-information by analyzing a pulse waveform. The apparatus for estimating bio-information according to an aspect of the present disclosure includes a processor configured to obtain a first characteristic point from a first pulse wave signal measured by a pulse wave sensor at a calibration time, obtain a second characteristic point from a second pulse wave signal measured by the pulse wave sensor at a bio-information estimation time, based on time information of the obtained first characteristic point, and estimate the bio-information of an object based on the obtained second characteristic point.