Kernel Smoothing for Incontinence Data Pattern Identification
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Solution Overview
Problem
Existing systems for monitoring incontinence data are challenging to interpret, leading to potential misinterpretation and time-consuming analysis, and are dependent on the knowledge and time available for analysis, rather than objective data analysis.
Innovation Solution
A method using Kernel smoothing to aggregate and analyze excrement data from absorbent articles, identifying patterns by smoothing time marks of excrement events and recommending toileting intervals based on recurring event patterns, independent of human interpretation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual identification of incontinence patterns is performed, then the skills of the person may affect the result, but this leads to arbitrary results and potential misinterpretation
Solution Approach 1:
The patent replaces the manual mechanical analysis process with an automated computer-based system that processes sensor data from absorbent articles. The system automatically identifies incontinence patterns through algorithmic analysis of moisture detection data, eliminating human subjectivity and skill variability while improving measurement precision and result reliability.
Solution Approach 2:
The system enables self-service by automatically analyzing the collected data without requiring manual intervention. The computer-based system independently processes the sensor data, identifies patterns, and generates results, making the analysis process autonomous and eliminating dependency on human operators.
2Measurement precision
If manual analysis of recorded data is performed, then interpretation may be affected by available time, but this leads to time-consuming analysis
Solution Approach 1:
The patent replaces time-consuming manual analysis with automated computer processing. The system rapidly processes sensor data through algorithms that identify incontinence patterns instantaneously, reducing analysis time from potentially hours of manual review to immediate automated results while maintaining or improving identification accuracy.
Solution Approach 2:
The system enables continuous automated analysis of incontinence data as it is collected from the sensors. The computer-based system processes data continuously without interruption, eliminating the intermittent and time-consuming nature of manual analysis, allowing for real-time pattern identification and immediate intervention opportunities.
3Ease of operation
If complex data interpretation is performed manually, then the time available for interpretation may affect the result, but manual interpretation requires significant time investment
Solution Approach 1:
The patent replaces complex manual data interpretation with automated computer-based analysis. The system simplifies the operation by automatically processing complex sensor data through predefined algorithms, making the interpretation process as simple as initiating the automated analysis while dramatically reducing the time required from hours to moments.
Solution Approach 2:
The system changes the parameters of data processing by transforming complex raw sensor data into simplified pattern识别 results through automated algorithms. This parameter transformation simplifies the operational complexity while maintaining comprehensive analysis, allowing quick interpretation without sacrificing analytical depth.
Data Source
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AI summary
The invention relates to a method for monitoring excrement data for seeking a pattern for a monitoring period, wherein said excrement data is associated with at least one absorbent article and a person wearing said at least one absorbent article. The method comprises acquiring excrement data comprising excrement data for at least two different time periods, each substantially corresponding to the monitoring period for which a pattern of events is sought, wherein said excrement data comprises information of excrement into an absorbent article in form of excrement events, and wherein each excrement event has an associated time mark or associated information from which an associated time mark may be derived; and smoothing the time mark of each excrement event. The invention relates also to a data processing unit adapted to perform the method. The invention relates also to a system for monitoring excrement data, said system comprising a sensor associated with an absorbent article, which is arranged to generate an output signal representative of the excrement status of said absorbent article, and a data processing unit adapted to process said output signal generated by the sensor. The data processing unit is adapted to perform the method.