Longitudinal analysis of heart rate variability as it pertains to anxiety and readiness

TL;DR

This study longitudinally examines how heart rate variability relates to anxiety and readiness, integrating biometric data with subjective logs over 26 months to inform personalized mental health interventions.

Contribution

It introduces a mixed-methods approach combining quantitative and qualitative analysis of long-term biometric and subjective data from a single individual.

Findings

Correlation between HRV and emotional states identified

Lifestyle factors linked to changes in biometric data

Potential for personalized mental health interventions

Abstract

The aim of this study is to explore the relationship between lifestyle choices, subjective experiences and objective biometric data in a single individual. The participant, at the time a male in his twenties, used the EliteHRV app to perform Heart Rate Variability Readings across twenty-six months accompanied by logs about the previous days activity as well as current emotional and physical state. The study will use a mixed-methods approach to analyze the data, including quantitative analysis of the biometric data and correlation analysis between the biometric data and subjective experience tags. Qualitative analysis of the daily logs will also be conducted to gain a deeper understanding of the participant's experiences and to identify keywords, people, or ideas that affect biometric output. The results of this study will provide insights into the relationship between subjective and objective measures, and the potential benefits or drawbacks of certain lifestyle choices and ways of thinking. The findings could have implications for the development of wearable-based personalized interventions for improving mental health and well-being.