VLF Heart Rate Variability Segmentation for Mental State Estimation
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Solution Overview
Problem
Existing mental and physical condition estimation systems have limitations in accuracy for estimating mental and physical states based on heart rate variability.
Innovation Solution
The system estimates mental and physical conditions by calculating the very low frequency component (VLF) of heart rate variability and uses this information to estimate concentration, effort, and fatigue states with higher accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional heart rate variability parameters (LF/HF) are used for estimation, then the system can estimate mental and physical conditions, but the estimation accuracy is insufficient
Solution Approach 1:
The patent segments the VLF component into two distinct frequency bands: VLF1 (0.003-0.015 Hz) for fatigue state estimation and VLF2 (0.015-0.05 Hz) for concentration and effort state estimation. This segmentation allows the system to extract and utilize previously overlooked information from different frequency ranges, thereby improving estimation accuracy without requiring additional sensors or complex processing.
2Adaptability or versatility
If only single frequency band analysis is performed, then the system structure remains simple, but the ability to distinguish between different mental states is limited
Solution Approach 1:
The patent divides the VLF frequency band into two segments (VLF1 and VLF2) with distinct physiological meanings. VLF1 (0.003-0.015 Hz) correlates with fatigue state, while VLF2 (0.015-0.05 Hz) correlates with concentration and effort state. This segmentation enables the system to simultaneously estimate multiple mental states using a relatively simple frequency analysis approach, enhancing adaptability without significantly increasing device complexity.
Data Source
AI summary
A mental and physical condition estimation system according to the present disclosure includes: a heart rate information acquisition unit for acquiring heart rate information that is information related to a heart rate of a subject person; a heart rate variability calculation unit for calculating heart rate variability of a very low frequency component (VLF) from the acquired heart rate information; and a mental and physical condition estimation unit for estimating a concentration and effort state of the subject person from a calculated value of the heart rate variability.