Physiological Information Measurement Device Noise Classification
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Solution Overview
Problem
Non-invasive blood pressure measurement devices face challenges in accurately removing noise caused by body motion, leading to reduced measurement accuracy and increased burden on subjects due to prolonged measurement times.
Innovation Solution
A physiological information measurement device with a noise classification unit that differentiates between noise and pulse signals based on physiological information, allowing for accurate blood pressure calculation by discarding noise and synthesizing data from multiple measurement steps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If noise filtering is applied to remove body motion noise during blood pressure measurement, then measurement reliability is improved, but measurement precision deteriorates because the pressure oscillation generated by the pulse is also filtered
Solution Approach 1:
The patent segments the detected signals into two categories: pulse signals and noise signals. The noise classification unit divides the oscillation signal based on characteristics - pulse signals have regular intervals corresponding to heart rate, while noise signals have irregular intervals. This segmentation allows selective processing where only noise is filtered out while preserving the pulse signal for accurate blood pressure calculation.
Solution Approach 2:
The patent applies different processing qualities to different parts of the signal. Instead of uniformly filtering all signals, the noise classification unit identifies and applies filtering only to noise components while leaving pulse components unaffected. This local quality approach ensures that the harmful noise is removed while the useful pulse information is preserved with its original characteristics intact.
2Reliability
If blood pressure measurement is repeated due to noise interference, then measurement reliability is improved, but loss of time increases because measurement time is elongated
Solution Approach 1:
The patent performs preliminary classification of detected signals as pulse or noise during the measurement process itself, rather than requiring separate verification measurements. The noise classification unit continuously analyzes signal characteristics and identifies noise in real-time, allowing the system to proceed with accurate blood pressure calculation from the remaining valid pulse signals without needing to repeat the entire measurement process.
3Productivity
If noise is not filtered during blood pressure measurement, then measurement time is reduced, but measurement precision deteriorates due to erroneous pulse detection
Solution Approach 1:
The patent implements a self-service mechanism where the measurement system automatically identifies and eliminates its own errors. The noise classification unit continuously monitors the detected signals and autonomously distinguishes between valid pulse signals and erroneous noise signals based on their temporal characteristics. This self-correcting capability allows the system to maintain high measurement precision without requiring external intervention or additional measurement time, thereby preserving measurement efficiency.
Data Source
AI summary
A physiological information measurement device includes a pressure controller configured to control an applied pressure of a cuff to a predetermined site of a subject, a pulse detector configured to detect pulses from a pressure received by the cuff from the predetermined site, a physiological information detector configured to detect physiological information on the subject, a noise classification unit configured to classify whether detection data detected by the pulse detector is noise based on the physiological information, and a blood pressure calculator configured to calculate a blood pressure of the subject based on a plurality of the pulses that are classified as not noise by the noise classification unit.