Assistive Device Recommendation System Using Objective Measurement Data
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Solution Overview
Problem
Conventional methods for recommending assistive devices rely on subjective evaluations, leading to potential misjudgments, even for experienced medical professionals, as they assess muscle power manually.
Innovation Solution
A method utilizing a recommendation system comprising a measuring device, processing device, and output device to generate assistive device recommendations based on objective measurement data, such as 3D scanning, strength measurements, and input information, ensuring accurate and customized device suggestions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual subjective evaluation by medical professionals is used to determine assistive device suitability, then the evaluation process is simple and quick, but the accuracy and reliability of the assessment deteriorates due to potential misjudgment
Solution Approach 1:
The patent replaces manual mechanical evaluation by medical professionals with an automated measurement system comprising sensors, processors, and algorithms. The system objectively measures muscle power, body dimensions, and functional capacity through electronic devices, eliminating subjective human judgment while maintaining evaluation efficiency.
Solution Approach 2:
The measurement system enables patients to self-assess their functional capacity through automated measurements. The system collects data from multiple sensors and automatically processes it to generate assessment results, reducing reliance on external medical professionals for initial screening while maintaining high accuracy.
2Reliability
If automated measurement systems are implemented to improve assessment accuracy, then measurement precision improves through objective data collection, but device complexity increases due to multiple measurement components
Solution Approach 1:
The patent integrates multiple measurement functions into a single unified system. The measurement device simultaneously captures muscle power, body dimensions, joint angles, and functional capacity data through multiple sensors working in parallel. This multi-functional approach improves assessment reliability without proportionally increasing system complexity, as all measurements are processed by a single control unit.
Solution Approach 2:
The patent combines multiple separate measurement functions into an integrated system. Sensors for different physiological parameters are merged into a single measurement platform that collects and processes all data through one processing unit, reducing the complexity that would arise from multiple independent systems while maintaining comprehensive assessment capability.
3Measurement precision
If comprehensive measurement data is collected to ensure accurate assistive device recommendations, then recommendation precision improves, but information processing complexity increases
Solution Approach 1:
The patent performs preliminary data processing and filtering before final analysis. The system pre-processes raw measurement data by removing outliers, normalizing values, and organizing data structures in advance. This preliminary action reduces the complexity of subsequent analysis while ensuring that only high-quality, relevant data is used for generating recommendations.
Solution Approach 2:
The patent introduces an intermediary processing layer between data collection and recommendation generation. The processing unit acts as a mediator that transforms raw multi-dimensional measurement data into standardized formats, applies weighting algorithms, and synthesizes results before presenting final recommendations. This intermediary layer simplifies the overall processing complexity by creating a structured intermediate representation.
Data Source
AI summary
A method of recommending an assistive device for a user includes: (A) providing a recommendation system that includes a measuring device, an output device and a processing device; (B) the measuring device performing measurement associated with a body part of a user to generate measurement information associated with the body part of the user; (C) the processing device receiving the measurement information from the measuring device, and generating recommendation of an assistive device according to the measurement information; and (D) the output device outputting a message associated with the recommendation.