Physiological Signal Averaging Dispersion Control
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Solution Overview
Problem
Conventional physiological information measurement apparatuses lack an index to determine if the number of arithmetic averaging times is sufficient or excessive, leading to potential noise elimination inefficiencies and false positive measurement results.
Innovation Solution
A physiological information measurement apparatus that includes a measuring section, a signal processor to produce and average physiological signal waveforms, and a display or determination section to visualize and assess arithmetic average dispersion, allowing for the determination of an adequate arithmetic averaging number based on information related to dispersion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If arithmetic averaging is performed a predetermined number of times, then noise elimination is improved, but measurement time increases and productivity decreases
Solution Approach 1:
The patent implements a feedback mechanism by calculating the arithmetic average dispersion after each averaging operation and comparing it against a predetermined threshold. When the dispersion falls below the threshold, the system automatically determines that sufficient averaging has been achieved and stops further averaging. This feedback loop prevents unnecessary continued averaging, thereby reducing measurement time while ensuring adequate noise elimination.
Solution Approach 2:
The patent transitions from a static predetermined averaging approach to a dynamic adaptive approach. The averaging process dynamically adjusts its duration based on real-time calculation of arithmetic average dispersion. The system continuously monitors the dispersion value and adapts the number of averaging operations accordingly, making the measurement process flexible and responsive to actual signal quality rather than following a fixed predetermined schedule.
2Measurement precision
If arithmetic averaging is performed more times, then measurement precision is improved, but device complexity increases due to lack of determination mechanism
Solution Approach 1:
The patent implements a self-service mechanism where the measurement system automatically determines whether sufficient averaging has been achieved through internal calculation of arithmetic average dispersion. The system uses its own measured data to evaluate whether the averaging criterion is met, eliminating the need for external judgment or complex manual determination mechanisms. This self-evaluation capability adds minimal complexity while enabling precise automatic termination of the averaging process.
3Productivity
If arithmetic averaging number is not determined adequately, then measurement time is reduced, but measurement precision deteriorates due to insufficient noise elimination
Solution Approach 1:
The patent replaces manual or mechanical determination of averaging sufficiency with an automated computational system. Instead of relying on predetermined fixed numbers or manual assessment, the system uses computational calculation of arithmetic average dispersion to automatically determine when averaging is sufficient. This substitution of computational logic for mechanical/time-based approaches maintains measurement precision while improving efficiency.
Data Source
AI summary
A physiological information measurement apparatus includes a measuring section that acquires a physiological signal from a living body of a subject, a signal processor that produces a plurality of physiological signal waveforms based on the physiological signal acquired from the measuring section, and that identifies an arithmetic average waveform that is obtained by arithmetic averaging of the plurality of physiological signal waveforms, and information relating to arithmetic average dispersion, and a display that displays at least the information relating to the arithmetic average dispersion.