Wearable Sensor System for Automated Female Urination Detection
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Solution Overview
Problem
Current methods for detecting female urination disorders, such as delayed urination and post-void dribbling, are cumbersome and unreliable, relying on patient-reported data or daily records, which can be inaccurate and difficult to maintain.
Innovation Solution
A wearable device-mounted sensor system that acquires and filters continuous sensor data to extract effective urination-related data, calculating urination time and amount, and determining disorders through a connected analysis device and electronic medical record server.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If patient-reported data or daily records are used to detect urination disorders, then the system is simple to implement, but the reliability and accuracy of urination information is poor
Solution Approach 1:
The patent replaces manual patient reporting (mechanical/recording system) with automated sensor-based detection (electronic measurement system). Accelerometers and gyroscopes continuously monitor movement patterns to automatically detect urination events, eliminating the need for patients to manually record data and providing objective, reliable measurements of urination timing and patterns.
Solution Approach 2:
The patent introduces a wearable device as an intermediary between the patient and the diagnostic system. This device includes sensors that detect bodily movements, a processor that analyzes movement patterns to identify urination events, and a transmitter that sends data to external systems, thereby mediating the collection and transmission of reliable urination data without requiring direct patient involvement in recording.
2Measurement precision
If manual daily records are used for urination monitoring, then the data collection method is simple, but the accuracy and completeness of recorded data is poor
Solution Approach 1:
The wearable device performs self-service by automatically detecting urination events through sensor data analysis without requiring patient action. The accelerometers and gyroscopes continuously monitor movements, the onboard processor automatically identifies urination patterns from these movements, and the system records timing and duration data autonomously, eliminating the need for patients to manually observe and record their urination habits.
Solution Approach 2:
The patent replaces manual observation and recording (mechanical process) with automated electronic sensing and processing. The system uses accelerometers to detect movement patterns characteristic of urination, gyroscopes to orient the device, and digital processors to analyze the data, providing precise measurement of urination events without requiring patient participation in the measurement process.
3Reliability
If continuous sensor monitoring is implemented to detect urination, then the reliability of detection is improved, but the quantity of data to be processed increases
Solution Approach 1:
The patent extracts only the relevant urination-related data from the continuous stream of sensor data. The processor identifies specific movement patterns characteristic of urination events and extracts timing, duration, and intensity information from these patterns, filtering out unrelated movements and activities. This extraction approach maintains high detection reliability while reducing the volume of data that needs to be stored and transmitted.
Solution Approach 2:
The system performs partial monitoring by focusing only on detecting urination events rather than continuously analyzing all sensor data in detail. The processor uses threshold-based detection and pattern recognition to identify urination events, processing data intensively only when urination is detected and using lighter processing for normal conditions, thereby balancing reliability with data management efficiency.
Data Source
AI summary
The present disclosure provides a method for detecting female urination by using a wearable device. A female urination detection method according to an embodiment of the present disclosure is a method for detecting urination of a subject to be measured, who is a female, by using a measurement device mounted on the subject to be measured, the method comprising: (a) acquiring sensor data (S) generated according to movement of a sensor of the measurement device; and (b) extracting effective data (SEff) related to urination by filtering the sensor data (S) acquired in (a) by an effective data extracting module of an analysis device through a preset method.