Fatigue Degree Determination Using Awake and Sleep Heart Rate Difference
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Solution Overview
Problem
Existing devices struggle to accurately determine fatigue degree due to high processing load and inability to differentiate fatigue magnitude, leading to inaccurate stress evaluation and increased complexity in chronic fatigue assessment.
Innovation Solution
A fatigue degree determination device that acquires both awake and sleep heart rates, using a storage medium to associate heart rate changes with fatigue levels, allowing for oxidative stress degree calculation without complex frequency analysis, thereby reducing processing load and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequency analysis of heartbeat interval is performed to evaluate chronic fatigue, then fatigue assessment capability is improved, but processing load increases
Solution Approach 1:
The patent extracts only the essential information needed for fatigue assessment - specifically the difference between awake heart rate and sleep heart rate - rather than performing comprehensive frequency analysis of the entire heartbeat interval data. This extraction approach maintains fatigue assessment capability while significantly reducing processing complexity.
Solution Approach 2:
The patent performs preliminary classification of heart rate data into awake and sleep states, then calculates the simple difference between these two states. This preliminary organization of data allows for efficient fatigue calculation without requiring complex real-time frequency analysis.
2Measurement precision
If comprehensive heart rate monitoring is performed to determine fatigue degree, then measurement accuracy is improved, but user burden increases
Solution Approach 1:
The patent implements partial monitoring by focusing only on heart rate measurements during two specific states (awake and sleep) rather than continuous monitoring across all activities. This partial approach maintains sufficient accuracy for fatigue assessment while significantly reducing the burden of continuous device wear and data collection.
3Measurement precision
If complex frequency analysis is used for stress evaluation, then evaluation capability is improved, but processing load increases
Solution Approach 1:
The patent changes the evaluation parameter from complex frequency domain analysis to a simple time-domain parameter - the difference between awake heart rate and sleep heart rate. This parameter transformation maintains the ability to evaluate stress and fatigue levels while dramatically reducing the energy required for processing.
Data Source
AI summary
A fatigue degree determination device includes a fatigue degree determination unit. A first biological heart rate is acquired while a user is awake and at rest, based on a biological heart rate measured from the user. A second biological heart rate is acquired while the user is sleeping, based on the biological heart rate measured from the user. The fatigue degree determination unit determines a fatigue degree of the user, based on information read out from a storage medium, the first biological heart rate and the second biological heart rate. The storage medium stores the information in which a degree of change of one biological heart rate relative to the other biological heart rate of a biological heart rate while a person is awake and at rest and a biological heart rate while the person is sleeping and a fatigue degree are associated with each other.