Heart Rhythm Pattern Analysis for Social Intimacy Measurement
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Solution Overview
Problem
Current studies on social relationships fail to effectively quantify and measure the degree of synchronization in physiological reactions, which is crucial for understanding and maintaining social interactions and relationships.
Innovation Solution
A method and system that utilize heart rhythm pattern analysis by detecting electrocardiogram (ECG) data from two subjects to determine their synchronization level, using R-peak to R-peak interval, beat per minute mean, and standard deviation normal to normal (SDNN) to estimate the intimacy between them through a correlation analysis and critical value function.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current studies on social relationships are conducted without physiological synchronization measurement, then the complexity of the study system is reduced, but the measurement precision of social relationship strength is insufficient
Solution Approach 1:
The patent replaces complex mechanical/physiological measurement systems with electrocardiogram (ECG) based heart rhythm pattern analysis. By using ECG signals to detect heart rate and heart rate variability, the system achieves precise measurement of physiological synchronization without requiring complex mechanical sensors or invasive procedures. The ECG-based approach captures cardiac electrical activity non-invasively and processes it to extract synchronization metrics.
Solution Approach 2:
The patent introduces heart rhythm pattern as an intermediary variable that mediates between physiological reactions and social relationship measurement. Instead of directly measuring complex physiological synchronization, the system uses heart rate and heart rate variability derived from ECG signals as intermediate indicators that reflect the degree of physiological synchronization and thereby quantify social relationship strength.
2Measurement precision
If physiological synchronization measurement is implemented to quantify social relationships, then the measurement precision of social relationship strength is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The patent replaces difficult-to-detect mechanical/physiological synchronization with electrical signal-based ECG measurement. ECG sensors easily capture cardiac electrical activity, and the resulting signals are processed to extract heart rate and heart rate variability, providing a straightforward method to detect physiological synchronization without complex measurement apparatus.
Solution Approach 2:
The patent employs self-service measurement where the participants' own heart rhythms serve as the measurement indicator. The ECG system captures each participant's cardiac electrical activity, and the synchronization is detected by comparing their respective heart rate patterns. This self-referential approach eliminates the need for external observers or complex experimental setups.
3Productivity
If heart rhythm pattern analysis is used to measure social relationships, then the productivity of social relationship assessment is improved, but the manufacturing precision of measurement methodology requires high standards
Solution Approach 1:
The patent transforms the complex multidimensional problem of social relationship measurement into changes in specific cardiac parameters - primarily heart rate and heart rate variability derived from ECG signals. By focusing on these quantifiable parameters and their synchronization patterns, the system achieves efficient assessment while maintaining measurement precision through standardized parameter extraction and comparison methodologies.
Data Source
AI summary
A social intimacy determining method includes detecting electrocardiogram (ECG) data from at least two subjects; detecting heart rhythm pattern (HRP) data from ECG signals of the two subjects; and determining a relationship (intimacy) between the two subjects by comparing the HRP data of the two subjects.