Heart Rate Variability Analysis for Accurate Energy Estimation
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Solution Overview
Problem
Existing devices face challenges in accurately estimating consumed energy during short periods of various exercises in daily activities due to fluctuations in heart rate influenced by exercise intensity and psychological factors, leading to overestimation and limited accuracy.
Innovation Solution
A wearable device and method that acquires physical characteristics and uses a relation between heart rate and consumed energy, considering the enhancement phenomenon of heart rate to improve estimation accuracy by classifying activity patterns and adjusting regression equations based on exercise intensity and previous activity content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If heart rate is used to estimate consumed energy, then estimation can be performed without extensive respiratory measurements, but accuracy deteriorates due to heart rate fluctuations influenced by exercise intensity and psychological factors
Solution Approach 1:
The patent applies dynamics by transitioning from static heart rate measurement to dynamic heart rate variability (HRV) analysis. The system measures multiple heart rate parameters including beat-to-beat intervals, standard deviation, and spectral components (LF, HF, LF/HF ratio) that change dynamically with exercise intensity and psychological state. This dynamic approach allows the system to distinguish between heart rate changes caused by exercise versus those caused by psychological factors, thereby resolving the contradiction between ease of measurement and estimation accuracy.
Solution Approach 2:
The patent employs parameter changes by utilizing multiple derived parameters from heart rate data rather than relying on a single heart rate value. The system calculates heart rate variability parameters, spectral components, and their combinations to create a multi-dimensional characterization of cardiac response. This transformation from a single parameter (heart rate) to multiple parameters (HRV, LF, HF, LF/HF ratio) enables more accurate differentiation of exercise intensity from psychological influences, resolving the accuracy problem while maintaining measurement simplicity.
2Device complexity
If simple heart rate measurement is used, then device complexity is reduced, but estimation accuracy deteriorates in short-time various exercises
Solution Approach 1:
The patent replaces complex mechanical respiratory measurement systems with an optical/electrical heart rate monitoring system. Instead of using respiratory masks or flow meters to directly measure oxygen consumption, the system uses optical sensors or electrical leads to monitor heart rate and heart rate variability. This substitution maintains low device complexity while achieving accurate consumed energy estimation through advanced signal processing of cardiac data, particularly effective for short-time various exercises.
Solution Approach 2:
The patent creates a composite estimation model that combines multiple heart rate parameters (heart rate, heart rate variability, spectral components) into a unified consumed energy estimation system. This composite approach integrates information from different aspects of cardiac function to compensate for the limitations of individual parameters, achieving high accuracy in estimating consumed energy during short-time various exercises without increasing physical device complexity.
3Ease of operation
If conventional heart rate based estimation is used, then measurement is simple, but reliability deteriorates due to overestimation in daily activities with mixed exercise types
Solution Approach 1:
The patent implements feedback mechanisms by continuously monitoring heart rate variability parameters and using them to adjust the consumed energy estimation in real-time. The system provides feedback loops where LF and HF components are continuously calculated and used to modulate the estimation algorithm, allowing dynamic correction of overestimation or underestimation. This feedback approach maintains measurement simplicity while significantly improving reliability for daily activities with mixed exercise types by continuously adapting to changing physiological states.
Data Source
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AI summary
An information processing apparatus capable of estimating consumed energy with high accuracy is provided. An information processing apparatus is provided which includes an acquisition unit that acquires physical characteristics of a user and an estimator based on a relation between a beating rate and consumed energy, in which consumed energy consumed by an activity performed by the user is estimated according to the beating rate of the user by the estimator according to the physical characteristics of the user.