Task Execution Order Determination for Cognitive Motor Assessment
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Solution Overview
Problem
Conventional systems for evaluating cognitive and motor functions through hand movements measure only one type of task, leading to increased load on subjects and reduced accuracy as cognitive/motor function severity worsens, necessitating a method to determine the optimal execution order of multiple tasks based on individual subject levels.
Innovation Solution
A task execution order determination system that uses a processing device and storage device to specify the execution order of hand movement tasks based on a parameter that maximizes discrimination accuracy or minimizes estimation error, selecting the appropriate task for each subject's level of cognitive/motor function severity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple hand movement tasks are measured to improve evaluation accuracy, then the accuracy of cognitive/motor function evaluation is improved, but the measurement load on the subject increases
Solution Approach 1:
The system performs preliminary analysis of subject information (age, gender, disease type, disease severity) before task measurement to determine the appropriate task execution order. This preliminary action allows the system to pre-select which tasks should be measured and in what order, avoiding unnecessary measurements and reducing subject load while maintaining evaluation accuracy.
Solution Approach 2:
The system changes the parameter of task execution order based on subject-specific parameters (age, gender, disease type, severity). By dynamically adjusting which tasks are measured and their sequence according to individual subject characteristics, the system optimizes the balance between measurement load and evaluation accuracy for each subject.
2Measurement precision
If hand movement tasks are measured for severe cognitive/motor function reduction cases, then the evaluation can capture severe impairment, but the subject burden increases significantly
Solution Approach 1:
The system applies local quality by tailoring the task measurement strategy to each subject's specific condition. For subjects with severe cognitive/motor function reduction, the system selects fewer, more appropriate tasks that are optimized for detecting severe impairment, rather than requiring all tasks to be completed. This localized approach reduces subject burden while maintaining accurate severity detection.
3Ease of operation
If a fixed task measurement approach is used for all subjects, then the system is simple to operate, but the evaluation accuracy varies across different subject levels
Solution Approach 1:
The system transitions from a static, fixed task measurement approach to a dynamic approach where the task execution order is automatically adjusted based on subject information. The system dynamically determines which tasks to measure and in what sequence, optimizing evaluation accuracy for each subject's cognitive/motor function level while maintaining ease of operation through automated decision-making.
Data Source
AI summary
A technique for evaluating human cognitive and motor functions by a plurality of hand movement tasks is disclosed. A task execution method determines the execution order of a plurality of tasks which a test subject is caused to execute to acquire a characteristic quantity. A test subject group task database includes scores given in advance and characteristic quantities obtained from a plurality of tasks stored as past data corresponding to each of a plurality of test subjects. In a storage device, (1) a differentiation precision database for a case in which test subjects are divided into two groups by predetermined threshold value scores differentiated by the characteristic quantities, or (2) an estimation precision database for a case in which a score is estimated using the characteristic quantity for a predetermined score value is prepared for each of the tasks on the basis of the test subject group task database.