Assistance System Usage Data Analysis for Care Receiver Condition Prediction
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Solution Overview
Problem
There is a need for an assistance system that can predict changes in the physical condition of care receivers by analyzing usage patterns of assistance devices, as existing systems lack the capability to detect early changes in user condition effectively.
Innovation Solution
An assistance system that records and analyzes usage data, including user identification and time information, to display time series changes and physical condition analysis, enabling caregivers to predict changes in care receiver conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If assistance device usage data is collected and analyzed, then the ability to predict changes in care receiver physical condition is improved, but the system complexity increases
Solution Approach 1:
The patent introduces a management device as an intermediary component that collects, stores, and analyzes usage data from multiple assistance devices. This mediator handles the complex data processing tasks, allowing the assistance devices themselves to remain relatively simple while achieving sophisticated predictive capabilities through centralized analysis.
Solution Approach 2:
The system creates data copies of usage information from assistance devices and stores them in a management device. By working with copies of the data rather than requiring complex real-time processing at the source, the system achieves analytical capabilities without significantly increasing the complexity of the assistance devices themselves.
2Reliability
If detailed usage information is recorded and analyzed, then the ability to detect early changes in physical condition is improved, but the amount of data to be processed increases
Solution Approach 1:
The extracting section of the management device selectively extracts only the necessary usage information from the recorded data that is relevant to detecting physical condition changes. This extraction process filters out unnecessary data, allowing the system to maintain high detection reliability while managing data volume efficiently.
Solution Approach 2:
The system performs preliminary data organization and extraction in advance, preparing the usage information for analysis before it is needed for detection. This preliminary processing reduces the computational burden during critical detection phases and enables more efficient handling of large data volumes.
Data Source
AI summary
An assistance system includes a storage section configured to store usage record data in which usage information as to a use of an assistance device configured to assist an operation of a care receiver is recorded in association with time information as to a date and time when the assistance device is used and user identification information used to identify a user using the assistance device, an extracting section configured to extract the usage information and the time information as to a specific user based on the user identification information included in the usage record data, and a display section configured to display a time series change in the usage information as to the specific user in a graspable manner.