Enhancing Heart Rate Variability Assessment: A User-Centric Approach with Interactive Mobile Interface

Heart Rate Variability (HRV) measurement plays a pivotal role in assessing physiological responses to stressors and optimizing training regimens within the domain of health and wellness. While traditional methods such as clinical-grade electrocardiograms offer accuracy, they are often hindered by practical constraints. In contrast, wearable devices provide convenience but may lack reliability. Chest-worn wearable ECG devices help the user take regular HRV measurements enabling them to assess their cardiac recovery and readiness for training while maintaining accuracy of data. However, such self-measurements using wearables can affect data quality primarily due to non-adherence of measurement protocol. In this paper we propose a design methodology that seeks to enable high quality HRV measurements by making the measurement protocol intuitive for the user. A validation study demonstrated significant improvements in data stability after the implementation of the guided HRV measurement workflow.