ArticleJMIR mental health2024
Remote Short Sessions of Heart Rate Variability Biofeedback Monitored With Wearable Technology: Open-Label Prospective Feasibility Study.
Article in JMIR mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 15 citations in OpenAlex.
- Heart rate variability as a dual-use digital biomarker: integrating clinical, AI, and operational perspectives on human performance and resilience.BMC cardiovascular disorders · 2026Pooled it
- Physiological Effects of Psychological Interventions Among Persons with Financial Stress: A Systematic Review, Meta-analysis, and Introduction to Psychophysiological Economics.Applied psychophysiology and biofeedback · 2024Pooled it
- Auditory Biofeedback through Wind Instrument Training: A Breath-Controlled Acoustic Strategy for Modulating Anxiety and Sleep.Noise & healthPooled it
- Heart rate variability biofeedback in adults with chronic spinal cord injury: a randomised feasibility study.BMC neurology · 2025Trial
- Implementing a Smartphone and Wearable-Based Stress Management Intervention in Women With Coronary Artery Spasms to Reduce Cardiac Symptoms: Multicenter, Single-Arm, 1-Way Crossover Study.JMIR formative research · 2026Article
- Technical validation of a multimodal emotion-adaptive biofeedback system for autonomic regulation using guided breathing.Scientific reports · 2026Article
- The clinical value of circadian biofeedback in chronic heart failure.European heart journal. Digital health · 2026Article
- A Smart HRV-Guided Respiratory Biofeedback System for Combined Respiratory and Psychological Recovery During COVID-19 Oxygen Weaning.Applied psychophysiology and biofeedback · 2026Article
- One-Week Home-Based HRV Biofeedback with Supervised Sessions Versus Passive Relaxation: Effects on Autonomic, Sensorimotor Functions and Kata Performance in Eastern Martial Arts Athletes.Sports (Basel, Switzerland) · 2026Article
- Effects of Heart Rate Variability Biofeedback on Cardiac Autonomic Function in Patients with Cardiovascular Disease: A Systematic Review and Meta-analysis.Applied psychophysiology and biofeedback · 2026Review
- Implementation of Wearable Technology for Remote Heart Rate Variability Biofeedback in Cardiac Rehabilitation.Sensors (Basel, Switzerland) · 2025Article
- Exploring Heart Rate Variability Biofeedback as a Nonpharmacological Intervention for Enhancing Perioperative Care: A Narrative Review.Turkish journal of anaesthesiology and reanimation · 2024Article
Corrections and comments
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Authors and funding
15 authors at 1 institution in 1 country.
Funding
Abstract
backgroundHeart rate variability (HRV) biofeedback is often performed with structured education, laboratory-based assessments, and practice sessions. It has been shown to improve psychological and physiological function across populations. However, a means to remotely use and monitor this approach would allow for wider use of this technique. Advancements in wearable and digital technology present an opportunity for the widespread application of this approach.
objectiveThe primary aim of the study was to determine the feasibility of fully remote, self-administered short sessions of HRV-directed biofeedback in a diverse population of health care workers (HCWs). The secondary aim was to determine whether a fully remote, HRV-directed biofeedback intervention significantly alters longitudinal HRV over the intervention period, as monitored by wearable devices. The tertiary aim was to estimate the impact of this intervention on metrics of psychological well-being.
methodsTo determine whether remotely implemented short sessions of HRV biofeedback can improve autonomic metrics and psychological well-being, we enrolled HCWs across 7 hospitals in New York City in the United States. They downloaded our study app, watched brief educational videos about HRV biofeedback, and used a well-studied HRV biofeedback program remotely through their smartphone. HRV biofeedback sessions were used for 5 minutes per day for 5 weeks. HCWs were then followed for 12 weeks after the intervention period. Psychological measures were obtained over the study period, and they wore an Apple Watch for at least 7 weeks to monitor the circadian features of HRV.
resultsIn total, 127 HCWs were enrolled in the study. Overall, only 21 (16.5%) were at least 50% compliant with the HRV biofeedback intervention, representing a small portion of the total sample. This demonstrates that this study design does not feasibly result in adequate rates of compliance with the intervention. Numerical improvement in psychological metrics was observed over the 17-week study period, although it did not reach statistical significance (all P>.05). Using a mixed effect cosinor model, the mean midline-estimating statistic of rhythm (MESOR) of the circadian pattern of the SD of the interbeat interval of normal sinus beats (SDNN), an HRV metric, was observed to increase over the first 4 weeks of the biofeedback intervention in HCWs who were at least 50% compliant.
conclusionsIn conclusion, we found that using brief remote HRV biofeedback sessions and monitoring its physiological effect using wearable devices, in the manner that the study was conducted, was not feasible. This is considering the low compliance rates with the study intervention. We found that remote short sessions of HRV biofeedback demonstrate potential promise in improving autonomic nervous function and warrant further study. Wearable devices can monitor the physiological effects of psychological interventions.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.