Rehabilitation Condition Analysis Using Rank-Based Biometric Visualization
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Solution Overview
Problem
There is a lack of effective methods for visualizing and quantifying activity levels from acquisition rank information and biometric data in rehabilitation, making it difficult to provide suitable assistance for rehabilitation treatment planning and patient motivation.
Innovation Solution
A condition analysis device and method that acquires rank information and biometric statistical information, derives range information, and displays it as an image for each rank, superimposing a predetermined image on the graph corresponding to the patient's biometric data, allowing for quantitative visualization of the patient's status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If rank information and biometric data are collected for rehabilitation evaluation, then the quantity of rehabilitation data is improved, but the ability to visualize and quantify activity levels remains insufficient
Solution Approach 1:
The patent transforms one-dimensional biometric data into two-dimensional visual representations by plotting individual patient data points against reference range bands on a graph. This dimensional transformation enables effective visualization of activity levels while preserving all quantitative information, resolving the contradiction between data quantity and visualization capability.
Solution Approach 2:
The patent creates visual copies of biometric data through graphical representation, where each patient's data is copied onto a standardized chart with reference ranges. This copying process transforms raw numerical data into visual information that can be easily interpreted, maintaining information integrity while improving accessibility.
2Measurement precision
If detailed biometric statistical information is collected, then measurement precision is improved, but ease of operation for rehabilitation planning deteriorates
Solution Approach 1:
The patent segments complex biometric information into organized reference range bands for different activity levels (low, medium, high) and ranks. This segmentation transforms detailed statistical data into structured, easily interpretable visual zones, making rehabilitation planning more accessible while preserving measurement precision through the structured presentation of data ranges.
Data Source
AI summary
An aspect of the present invention is a condition analysis device including an acquisition unit that acquires rank information obtained by ranking a degree of self-support or magnitude of disorder of a patient and biometric information of the patient, a derivation unit that derives, for each rank, range information indicating a range in which the biometric information is distributed, and a superimposition display unit that displays the range information as an image for each rank, and superimposes and displays a predetermined image on the image at a position corresponding to the biometric information of one patient in a range indicated by the image.