Biomedical Sensor Placement Feedback via Signal-Model Comparison
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Solution Overview
Problem
Existing medical monitoring systems face challenges in accurately determining the optimal placement of sensors on a user's body, leading to inconsistent and unreliable readings due to incorrect placement or interference from factors like sweat, hair, or subcutaneous fat, especially in outpatient or home-care settings where caregivers may struggle to apply sensors correctly.
Innovation Solution
A biomedical sensor system that includes a processor and indicator to provide feedback on sensor placement, using visual, audible, or vibratory signals to guide users in correctly positioning sensors by comparing detected signals to a physiological model and updating the model based on actual readings, and a method that involves calibration, testing, and feedback mechanisms to ensure accurate placement and reliable data collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors are designed for specific locations on the body with calibrated spacing, then measurement accuracy is improved, but ease of operation deteriorates because caregivers and patients struggle to apply sensors correctly
Solution Approach 1:
The system performs preliminary actions by automatically detecting sensor placement quality and providing real-time feedback before final measurement is taken. The processor evaluates signals from multiple sensors and guides users to adjust placement, ensuring optimal positioning is achieved before data collection begins.
Solution Approach 2:
The system implements feedback by comparing detected physiological signals against expected patterns and providing guidance to users for adjusting sensor placement. The processor analyzes signal quality metrics and communicates placement quality to users, enabling them to achieve correct positioning through iterative adjustment.
2Reliability
If multiple sensors are used to improve measurement reliability, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system achieves multi-functionality by using the same sensor array to perform both physiological measurement and placement verification. The sensors serve dual purposes: collecting physiological data and evaluating their own placement quality, eliminating the need for separate verification hardware.
Solution Approach 2:
The system merges the measurement function and placement evaluation function into a single integrated system. The processor simultaneously analyzes physiological signals and placement quality metrics from the same sensor inputs, combining multiple functions into one cohesive device.
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
The system enables users and caregivers to accurately position sensors, reducing errors and improving the reliability and consistency of physiological data measurements, thereby enhancing trust in the monitoring system's accuracy and usability in various environments.
Implementation Method 1
optical radiation of several different wavelengths, e.g., visible and infrared, through blood and tissue of a predetermined portion of a patient's body
Implementation Method 2
Different wavelengths of light are absorbed differently based on blood oxygen content
Implementation Method 3
A photodetector detects the light after it passes through the body
Data Source
Figure 1
Figure 2A
Figure 2B~2C
AI summary
A biomedical sensor has conducting elements disposed at least partly over a skin-facing surface. A sensing element detects a signal representative of a physiological parameter of a body using the conducting elements. A storage device stores a physiological model. A processor determines sensor placement quality by comparing the signal to the model and operates an indicator to indicate the determined quality. A method of measuring using the sensor includes computing a measurement acceptance criterion using numerous measurements, determining whether a subsequent test measurement corresponds to the measurement acceptance criterion obtained from the computing step, and indicating the results via the indicator. A system for measuring a physiological property of the body includes the sensor, a user interface device to receive measurements from the sensor, and a processor associated with the user interface device and configured to provide feedback if the measurement does not meet a selected acceptance criterion.