Orthopedic Device Event Data Extraction
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Solution Overview
Problem
Existing methods for analyzing usage data of orthopedic devices result in large amounts of data that are difficult to process and analyze, often requiring continuous recording of raw data, which is inefficient and resource-intensive.
Innovation Solution
A method that focuses on recognizing and storing events or time-limited activities in orthopedic devices, along with associated characteristic parameters, rather than storing complete data streams. This approach reduces data storage and analysis requirements by only recording specific events and their parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous recording of raw sensor data is performed, then comprehensive information about device usage is obtained, but data storage requirements and analysis complexity increase significantly
Solution Approach 1:
The patent extracts only the essential information from continuous sensor data by identifying and storing discrete events and their characteristic parameters. Instead of retaining all raw sensor data, the system selectively extracts meaningful usage events (such as activation events, error events, usage pattern events) and stores only these extracted data points along with their characteristic parameters, thereby significantly reducing data storage requirements while preserving comprehensive usage information.
Solution Approach 2:
The patent segments continuous sensor data streams into discrete, meaningful events. By dividing the continuous data flow into distinct event categories (activation events, error events, usage pattern events, etc.) and storing them separately with their respective characteristic parameters, the system transforms overwhelming continuous data into manageable discrete units, reducing both storage requirements and analysis complexity.
2Measurement precision
If complete data streams are stored, then detailed analysis is possible, but processing and analysis time increases
Solution Approach 1:
The patent performs preliminary processing of sensor data by automatically identifying, categorizing, and tagging events with their characteristic parameters during data collection. This preliminary action of structuring and organizing data as it is generated eliminates the need for complex post-processing analysis, allowing for rapid retrieval and detailed analysis of specific usage patterns when needed, thereby reducing overall processing time while maintaining analytical depth.
3Reliability
If external data loggers are used for detailed detection, then comprehensive data is recorded, but device complexity and detection accuracy under realistic conditions decrease
Solution Approach 1:
The patent merges the data processing and event identification functions directly into the orthopedic device's control unit, eliminating the need for separate external data loggers. By combining the sensor data processing, event identification, and characteristic parameter extraction capabilities within the device itself, the system reduces overall device complexity while maintaining or improving detection accuracy, as data is captured and processed in its native context without external interference.
Data Source
AI summary
The invention relates to a method for analyzing useful data of an orthopedic device, having the steps of: providing an orthopedic device (10, 13) which has at least one sensor (30) for detecting sensor data and/or which is connected to a data preparing device (70) for transmitting sensor data, comprising at least one data processing device (40) which is coupled to the at least one sensor (30) and/or the data preparing device (70) and which is equipped with at least one storage device for storage purposes and a processor for processing the sensor data; ascertaining characteristic variables and/or characteristic variable combinations; detecting an event or a time-limited activity using the sensor data ascertained at a point in time or in a period of time and/or using a sensor data combination; ascertaining characteristic variables of the orthopedic device (10, 13) via the at least one sensor (30) and/or the data preparing device (70); assigning each characteristic variable and/or characteristic variable combination to an event or a time-limited activity; and storing the occurrence of the event or the time-limited activity together with at least one characteristic variable or characteristic variable combination.