Heart Rate Variability Analysis for Physical State Detection
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Solution Overview
Problem
Conventional fitness monitoring devices fail to provide users with constructive information about their physical state based on heart rate data, limiting their ability to make personal improvements for better fitness and well-being.
Innovation Solution
A system comprising a processor, heart rate sensor, and motion sensor that processes electronic input signals to generate heart rate data, motion data, and heart rate variability (HRV) data, allowing for accurate determination of a user's physical condition by correlating these metrics to identify states such as stress, relaxation, recovery, or exercise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional activity monitoring devices only passively monitor heart rate data, then the device complexity is reduced, but the information value and user insight into physical state deteriorates
Solution Approach 1:
The patent combines multiple data sources (heart rate data, motion data, and HRV data) into a unified analysis system. The processor integrates these different types of biometric and activity data to generate comprehensive physical state assessments, transforming isolated measurements into actionable health insights about stress, recovery, and exercise states.
Solution Approach 2:
The system performs multiple functions using the same hardware components. The heart rate sensor and motion sensor serve both traditional activity tracking purposes and the newer function of determining physical state through HRV analysis and multi-parameter correlation, maximizing the utility of the collected data.
2Measurement precision
If the system correlates multiple data types (heart rate, motion, HRV) to determine physical condition, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent segments the analysis into distinct data types (heart rate data, motion data, HRV data) that are processed and correlated separately before being integrated to determine physical state. This modular approach to data processing improves measurement precision while managing complexity through structured analysis.
Data Source
AI summary
Systems and methods are provided for gathering and generating heart rate data to determine the user's current physical condition. On such system include a wearable device having a bio sensor that measures biometrics and a motion sensor that monitors activity. The system also includes a processor coupled to the bio sensor and the motion sensor, and a transitory computer-readable medium operatively coupled to the processor and storing instructions that, when executed, cause the processor to execute specific functions. The instructions are executed to cause the processor to generate biometric data when executed, cause the processor to execute specific functions. The instructions are executed to cause the processor to generate heart rate data from the biometrics measured by the bio sensor, generate motion data from the activity monitored by the motion sensor, calculate heart rate variability (HRV) data from the biometrics measured by the bio sensor, and determine the current state of the user's physical condition based on the correlation of one or more of the heart rate data, motion data, and calculated HRV data gathered.