Medical Information Processing Device for Biometric Error Detection
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Solution Overview
Problem
Home-based patient monitoring for vital signs often results in measurement errors due to misalignment and body movement, leading to inaccurate interpretation of physical conditions, as non-medical professionals perform the measurements.
Innovation Solution
A medical information processing device that acquires biometric data, identifies similar patients based on attribute information, and calculates trend scores using time-series data to differentiate between measurement errors and actual condition changes, employing methods like principal component analysis and maximum likelihood estimation to determine the presence of disease onset.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If home-based self-measurement is performed by non-medical professionals, then ease of operation and accessibility are improved, but measurement precision and reliability deteriorate due to misalignment and body movement
Solution Approach 1:
The patent introduces an intermediary system (processing device with AI algorithms) that mediates between the patient's self-measurement and the final health assessment. This intermediary automatically detects measurement abnormalities, identifies potential diseases, and generates assessment results, thereby resolving the contradiction by maintaining ease of self-measurement while improving measurement precision through automated correction and analysis
Solution Approach 2:
The system implements feedback mechanisms where measurement results are automatically analyzed and compared against normative data. The processing device provides feedback by identifying abnormal patterns, suggesting potential diseases, and guiding patients on proper measurement techniques, thereby improving measurement precision over time while maintaining ease of operation
2Productivity
If measurement data including abnormalities is used for monitoring, then productivity and continuous monitoring capability are improved, but reliability of health assessment deteriorates due to errors in interpretation
Solution Approach 1:
The patent extracts and isolates measurement abnormalities from the overall monitoring process. The processing device specifically identifies and separates abnormal measurement patterns from normal data, analyzes them separately using AI algorithms, and generates distinct assessment results. This allows continuous monitoring to maintain high productivity while reliability is preserved through specialized handling of abnormal data points
Solution Approach 2:
The system creates multiple copies or versions of measurement data analysis: one for normal continuous monitoring and another for abnormal pattern detection. By generating separate assessment pathways for normal and abnormal measurements, the system maintains productivity through continuous monitoring while ensuring reliability through dedicated abnormality analysis protocols
3Reliability
If automated detection of measurement abnormalities is implemented, then reliability of health assessment is improved, but device complexity increases
Solution Approach 1:
The processing device performs self-service by automatically detecting measurement abnormalities, identifying potential diseases, and generating assessment results without requiring complex manual intervention. The AI algorithms autonomously analyze measurement data, compare it against normative databases, and produce reliable health assessments, thereby improving reliability while keeping the user-side device complexity low
Solution Approach 2:
The patent replaces complex mechanical or manual analysis systems with automated computational algorithms. Instead of requiring complex hardware for manual measurement verification, the system uses software-based AI algorithms to detect abnormalities and assess health status, thereby improving reliability while reducing overall device complexity through substitution of mechanical/manual processes with automated computational ones
Data Source
AI summary
A medical information processing device according to an embodiment includes processing circuitry. The processing circuitry is configured to acquire biometric information on a patient, detect a trend change in the biometric information at a predetermined timing on a basis of time-series data regarding the biometric information, and determine whether the trend change is due to a measurement error in the biometric information or due to a change in a condition of the patient.