Nova Fellow Kirstin Aschbacher‘s work in Psychophysiology validates a real-time heart rate variability biofeedback (HRVB) algorithm for digital mental health interventions, demonstrating a strong correlation with a gold-standard spectral metric. These findings support the integration of automated HRVB biofeedback in mental health interventions, and the authors identification of relevant demographic, psychological, and health factors offer the framework for building an equitable, accurate, and personalized biofeedback user experience.





