Biological Signal Evaluation Using Partial Observation Windows
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Solution Overview
Problem
Existing methods require a large number of samples and extended measuring periods to detect significant differences in biological information, making it difficult to efficiently evaluate state differences.
Innovation Solution
A biological-information evaluating device that generates feature values from partial observation data within a shorter observation period, using signal processing to derive evaluation values from overlapping and non-overlapping partial data segments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a large number of samples and extended measuring periods are used to detect significant differences in biological information, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent divides the observation period into multiple shorter partial observation periods and processes each segment independently to generate feature values. This segmentation allows the system to detect state differences within shorter timeframes while maintaining measurement precision through aggregated analysis of multiple segments.
Solution Approach 2:
The system performs periodic observations at multiple time points throughout the day, collecting biological information in discrete intervals. By analyzing patterns across these periodic measurements, the system achieves significant detection of state differences without requiring continuous extended monitoring.
2Measurement precision
If a large number of samples are collected to exhibit significant differences between states, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system pre-processes and stores biological information from multiple short observation periods, organizing data by time of day and day of week. This preliminary organization enables rapid comparison and detection of state differences when needed, without requiring extended real-time data collection.
Solution Approach 2:
The system continuously collects and accumulates biological information across multiple days and time periods, maintaining a running database that grows in statistical power. This continuous accumulation allows the system to achieve significant measurement precision while minimizing the additional time required for each new measurement.
Data Source
AI summary
A biological-information evaluating device according to an embodiment of the present disclosure includes a signal processing circuit that generates a feature value of an observation target waveform for each of pieces of observation data obtained through observation of a living body for a predetermined period, on a basis of a plurality of pieces of partial observation data contained in each of the pieces of observation data and each having a period shorter than an observation period of the observation data. An observation target of this biological-information evaluating device includes, for example, a human or an animal.