Biological Sensor Adaptive Sampling for Abnormality Detection
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Solution Overview
Problem
Existing biological information measurement devices require manual operation to switch sampling frequencies, making it time-consuming and difficult to detect abnormalities, such as atrial fibrillation, at appropriate times.
Innovation Solution
A biological information measurement device with a sensor unit, A/D conversion unit, storage unit, analysis processing unit, and measurement control unit that automatically switches sampling frequencies based on determined abnormalities, allowing for continuous measurement at low frequency during normal conditions and high frequency during suspected abnormalities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual switching of sampling frequency is implemented, then the device can change sampling periods to match diagnostic purposes, but it requires user operation which consumes time and may miss abnormality detection opportunities
Solution Approach 1:
The measurement control unit automatically adjusts the sampling frequency based on analysis results from the analysis processing unit. The system monitors biological information continuously and self-regulates the sampling rate without user intervention, switching to high sampling frequency when abnormalities are detected and maintaining low sampling frequency during normal states.
Solution Approach 2:
The analysis processing unit analyzes biological information and provides feedback to the measurement control unit. This feedback loop enables the system to automatically determine when to switch sampling frequencies based on the detected state of the measured subject, creating a closed-loop control system that adapts to changing conditions.
2Measurement precision
If high sampling frequency is used continuously, then sufficient data for diagnosis can be acquired, but power consumption and storage requirements increase significantly
Solution Approach 1:
The sampling frequency is dynamically adjusted based on the detected state. The measurement control unit switches between low sampling frequency (first sampling frequency) during normal states and high sampling frequency (second sampling frequency) when abnormalities are detected, optimizing the balance between data quality and power consumption.
Solution Approach 2:
The system changes the sampling frequency parameter according to the analyzed state. By modifying this key parameter based on real-time analysis results, the system achieves high measurement precision when needed while minimizing power consumption during normal operation.
3Measurement precision
If high sampling frequency is used continuously, then sufficient data for diagnosis can be acquired, but device size and storage capacity requirements increase
Solution Approach 1:
The sampling frequency is dynamically adjusted based on the detected state. The measurement control unit switches between low sampling frequency (first sampling frequency) during normal states and high sampling frequency (second sampling frequency) when abnormalities are detected, optimizing the balance between data quality and power consumption.
Solution Approach 2:
The system changes the sampling frequency parameter according to the analyzed state. By modifying this key parameter based on real-time analysis results, the system achieves high measurement precision when needed while minimizing power consumption during normal operation.
4Use of energy by moving object
If low sampling frequency is used, then power consumption is reduced, but abnormalities may be missed due to insufficient data resolution
Solution Approach 1:
The analysis processing unit analyzes biological information and provides feedback to the measurement control unit. This feedback loop enables the system to automatically determine when to switch sampling frequencies based on the detected state of the measured subject, creating a closed-loop control system that adapts to changing conditions.
Solution Approach 2:
The measurement control unit automatically adjusts the sampling frequency based on analysis results from the analysis processing unit. The system monitors biological information continuously and self-regulates the sampling rate without user intervention, switching to high sampling frequency when abnormalities are detected and maintaining low sampling frequency during normal states.
Data Source
AI summary
A biological information measurement device includes a sensor unit that detects predetermined biological information related to an organ of a living body, an A/D conversion unit that converts a measurement signal output from the sensor unit into a digital signal, a storage unit that stores information including a digital signal related to the measurement signal output from the A/D conversion unit, an analysis processing unit that determines presence or absence of a suspicion of an abnormality in the organ by analyzing the digital signal, and a measurement control unit that changes a sampling frequency related to A/D conversion of the measurement signal under a predetermined condition when the analysis processing unit has determined that a suspicion of an abnormality is present in the organ.