Pain Measuring Device Integrating Neural Network Analysis
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Solution Overview
Problem
Existing pain measuring devices rely on subjective and qualitative methods, such as visual analogue scales and facial expression analysis, which fail to provide a quantitative and objective measurement of pain experienced by users, limiting their accuracy in diagnosing and treating pain.
Innovation Solution
A pain measuring device equipped with a temperature stimulator, camera, sensors, and a processor that uses a neural network model to objectively quantify pain by analyzing user input, image data, and biodata, including facial expressions, pulse waves, and oxygen saturation, to generate a precise measurement of pain levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If subjective pain scales (VAS or facial expression) are used for pain measurement, then the measurement method is simple and easy to implement, but the measurement precision and objectivity are insufficient
Solution Approach 1:
The patent merges multiple measurement approaches (subjective user input, objective image data from camera, and biodata from sensors) into a unified pain assessment system. The processor integrates these diverse data sources to generate a comprehensive pain level determination, combining the simplicity of subjective reporting with the objectivity of automated sensing to resolve the contradiction between ease of operation and measurement precision.
2Device complexity
If only subjective user input is used for pain assessment, then the implementation is simple, but the objectivity and quantitative accuracy are limited
Solution Approach 1:
The processor acts as an intermediary that objectively processes and integrates multiple data sources (user input, image data, biodata) to generate a reliable pain assessment. This intermediary component transforms subjective and objective inputs into a unified quantitative measure, enhancing reliability while managing system complexity through centralized data fusion.
3Measurement precision
If multiple data sources (user input, image data, biodata) are integrated for pain measurement, then the measurement objectivity and precision improve, but the device complexity increases
Solution Approach 1:
The processor serves as a universal component that handles multiple functions: receiving user input, processing image data from the camera, analyzing biodata from sensors, and generating the final pain assessment. This multi-functional design allows the system to integrate diverse data sources for improved measurement precision while managing complexity through a centralized processing unit that performs all analytical functions.
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 quantitative and objective pain measurement, allowing for more accurate diagnosis and treatment by integrating subjective user input with objective biological and visual data, enhancing the precision of pain assessment.
Implementation Method 1
The temperature stimulator may include a plurality of Peltier elements
Data Source
AI summary
Provided are a pain measuring device and a main measuring method. More particularly, the pain measuring device may control a temperature provided from a temperature stimulator, receive, from a user input portion, a user input for recording a level of stimulation according to the temperature, obtain, from a camera, image data representing a change in an external shape of a user according to the stimulation, obtain, from a sensor, biodata representing a biological change of the user according to the stimulation, and obtain information about a level of pain experienced by the user according to the stimulation based on data corresponding to the user input, the image data, and the biodata.