Remote Dysarthria Evaluation Using Guided Voice Analysis
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Solution Overview
Problem
Existing methods for evaluating dysarthria require direct interaction with evaluators, are costly, and vary in accuracy due to therapist-dependent criteria, necessitating a more convenient and accurate remote evaluation solution.
Innovation Solution
A method utilizing a server and user terminal for remote dysarthria evaluation, involving voice data analysis to assess sustained phonation, articulatory diadochokinesis, and sentence reading, with environmental noise assessment and psychological state evaluation, to determine breathing insufficiency, breathing intensity, and articulation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If direct evaluation by speech-language pathologists is used, then evaluation accuracy and reliability are improved, but cost and time consumption increase
Solution Approach 1:
The patent replaces the mechanical system of human evaluator with an automated voice analysis system. The system uses computational algorithms to process voice recordings and automatically assess dysarthria severity, eliminating the need for direct human evaluation while maintaining diagnostic accuracy through objective acoustic parameter measurement.
Solution Approach 2:
The system enables self-service evaluation where users can independently complete the assessment process. The automated system guides users through voice exercises, records their responses, and generates evaluation reports without requiring professional intervention, allowing patients to evaluate themselves at home.
2Measurement precision
If multiple evaluation criteria are used to improve assessment accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent segments the complex evaluation process into distinct functional modules: voice recording module, acoustic parameter extraction module, dysarthria assessment module, and report generation module. Each module handles a specific aspect of evaluation, making the overall system more manageable and easier to implement while maintaining comprehensive assessment capabilities.
Solution Approach 2:
The system employs a universal voice analysis platform that can assess multiple dysarthria types and severity levels using the same hardware and software infrastructure. The single system handles diverse evaluation scenarios including different speech tasks, patient populations, and diagnostic purposes, eliminating the need for multiple specialized evaluation systems.
3Measurement precision
If standardized evaluation protocols are implemented, then measurement precision is improved, but ease of operation decreases
Solution Approach 1:
The system incorporates real-time feedback mechanisms that guide users through the evaluation process. The interface provides instantaneous guidance, validates user responses, and adjusts instructions based on recorded voice characteristics. This feedback loop ensures consistent application of evaluation protocols while simplifying user interaction by automatically adapting to individual needs and providing step-by-step assistance.
Data Source
AI summary
The present disclosure relates to a method which a server receives voice data of a user from a user terminal and evaluates dysarthria of the user, the server including a processor and a database and communicates with the terminal, and the terminal including a processor, a memory, a display, and a microphone and communicating with the server. The method comprises steps in which the server: causing the terminal to describe a dysarthria evaluation process to the user; causing the user terminal to check whether the surrounding environment of the user is suitable to evaluate the voice of the user; causing the user terminal to induce the user to perform at least one from among sustained phonation, articulatory diadochokinesis, word reading, and sentence reading for sustained phonation evaluation, and record the voice of the user; and evaluating degrees of dysarthria of the user on the basis of the recorded voice data.