Heart Rate Variability Podcast

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106

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Jun 2026

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EN-US

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Welcome to the Heart Rate Variability Podcast where we discuss the research and applications of heart rate variability.

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June 16, 20261 hr 13 min

This Week In HRV - Episode 42

This week's episode covers five studies spanning sleep medicine, transportation safety, signal complexity methodology, cardiac mortality prediction, and autonomic neuroscience in a rare genetic condition. Together, they reveal how much untapped information lives in the heart rate variability signal — and how rapidly the field is developing tools to access it. RESEARCH HIGHLIGHTS THIS WEEK 1. Can an AI Stage Your Sleep From Your Heartbeat Alone? Publication: The National Medical Journal of India Authors: Suvradeep Chakraborty, Manish Goyal, Paritosh Goyal, Priyadarshini Mishra KEY FINDING: A random forest classifier trained on time-domain, frequency-domain, and nonlinear heart rate variability features — with ectopic beat correction and epoch index as a temporal marker — achieved 78.9% accuracy, a Cohen's kappa of 0.70, and a macro F1 score of 0.789 on external validation for five-stage sleep classification using electrocardiogram data alone. SIGNIFICANCE: Heart rate variability-based automated sleep staging is approaching clinical viability as a population-level research and screening tool, though it is not yet a replacement for polysomnography. The study demonstrates that preprocessing quality and temporal context are as important as model architecture — findings with direct implications for any wearable-based sleep monitoring application. Read the full study: https://nmji.in/artificial-intelligence-based-automated-sleep-staging-using-heart-rate-variability-assessment-of-performance-and-clinical-prospects/ 2. A 30-Second Heartbeat Test Before You Drive Publication: IAES International Journal of Artificial Intelligence Authors: Tia Haryanti, Eri Prasetyo Wibowo, Wahyu Kusuma Raharja, Rossi Septy Wahyuni, Ilmiyati Sari KEY FINDING: A subject-independent logistic regression model trained on short-term heart rate variability features from 30-second electrocardiogram recordings achieved an ROC-AUC of 0.687 and 100% sensitivity for detecting pre-driving fatigue (Karolinska Sleepiness Scale score of 7 or above) at the chosen operating threshold, with a proposed three-tier triage scheme to manage the high false positive rate. SIGNIFICANCE: This feasibility study demonstrates that brief, wearable-compatible heart rate variability recordings carry discriminable signal about fatigue state under subject-independent validation — the appropriate test for real-world deployment. Specificity remains very low at the sensitivity-optimized threshold, and replication in larger samples is needed before operational translation. Read the full study: https://ijai.iaescore.com/index.php/IJAI/article/view/30466/15254 3. Bubble Entropy Earns Its Place in the HRV Toolkit Publication: Entropy Authors: Dimitrios Platakis, Roberto Sassi, George Manis KEY FINDING: Bubble entropy consistently outperformed sample entropy, approximate entropy, and permutation entropy in classifying RR interval time series from healthy individuals versus cardiac patients across four machine learning classifiers and multiple feature-importance ranking methods. SIGNIFICANCE: Bubble entropy's freedom from the tolerance parameter that limits cross-study comparability of sample entropy is a genuine methodological advantage. This head-to-head benchmark strengthens the cas...

June 9, 202656 min

This Week In HRV - Episode 41

This week's episode covers four peer-reviewed studies spanning machine learning feature selection, clinical epidemiology, wearable device validation, and real-world mobile health observation. Whether you are a clinician, researcher, coach, or practitioner, this episode has direct relevance for how you think about measuring and applying HRV in your work. RESEARCH HIGHLIGHTS THIS WEEK Adaptive Genetic Selection of Heart Rate Variability and Electrocardiographic Morphology Features for Cognitive Stress Detection Using Multi-Classifier Evaluation PUBLICATION: Eng AUTHORS: Salvador Ortiz-Santos, Georgina Mota-Valtierra, Jesús-Norberto Guerrero-Tavares, Xóchitl Siordia-Vásquez, Miguel Rojas-Hernández, Juvenal Rodríguez-Reséndiz KEY FINDING: A binary genetic algorithm with a dimensionality penalty selected eleven features from a pool of over three hundred HRV and electrocardiographic morphology descriptors across twelve leads, achieving a mean area under the receiver operating characteristic curve of 0.830 for cognitive stress classification. This outperformed both the full feature set and principal component analysis when paired with a radial basis function support vector machine classifier. SIGNIFICANCE: Supervised, discriminative feature selection outperforms unsupervised variance-based reduction for cognitive stress detection from multichannel electrocardiogram data. The finding that 11 compact features can achieve meaningful classification performance supports the feasibility of wearable-compatible stress-monitoring systems, though validation in more diverse and clinically representative populations is needed before this approach can inform practice. Read the full study: https://doi.org/10.3390/eng7060273 Association of Severe Obesity, Hypertension, and Physical Activity with 24-h Heart Rate Variability in Adults PUBLICATION: Journal of Cardiovascular Development and Disease AUTHORS: Débora Andrea Castiglioni Alves, Pamela Carvalho da Rosa, Andréa Castiglioni Alves Teixeira e Silva, Joceli Fernandes Alencastro Bettini de Albuquerque Lins, Gisela Arsa, Lucieli Teresa Cambri KEY FINDING: In a retrospective cross-sectional study of 1,048 adults undergoing bariatric surgery evaluation, severe obesity was associated with lower 24-hour HRV and higher odds of hypertension (odds ratio 2.04) and antihypertensive medication use (odds ratio 1.98). Hypertension was associated with lower HRV and higher odds of diabetes (odds ratio 4.20) and dyslipidemia (odds ratio 2.85). Meeting physical activity criteria was associated with higher HRV and lower odds of hypertension (odds ratio 0.64). SIGNIFICANCE: This large cross-sectional study documents the co-occurrence of lower 24-hour HRV with severe obesity, hypertension, and physical inactivity in a bariatric surgery evaluation population. Note that cross-sectional designs identify associations, not causes. The findings reinforce the clinical value of 24-hour HRV assessment for characterizing autonomic impairment in high cardiometabolic risk profiles and highlight physical activity as a meaningful modifier of autonomic health, even in this population. Read the full study: https://doi.org/10.3390/jcdd13060242 Validation of photoplethysmography-derived short-term heart rate variability using a wearable device PUBLICATION: Scientific Reports AUTHORS: Christine S. Zuern, Maximilian Felkel, Florian Tilquin, Yann Le Guillou, Emmanuel Dervie...

June 4, 202652 min

Dr. Andrew Seely talk HRV in the ICU and Beyond

In this episode, Dr. Andrew Seely joins Matt Bennett to discuss his work with HRV in the ICU and health care.

June 2, 202652 min

This Week In HRV - Episode 40

From the reliability of the tools we use to measure it, to a mathematical algorithm built in its image, to machine learning models that read stress from its patterns, to a clinical trial showing it shifts in response to music — this week's four studies reveal HRV science at its most wide-ranging. Whether you're a clinician, researcher, coach, or curious practitioner, this episode offers something worth sitting with. Study 1: A Reproducible Benchmark of QRS Detection Algorithms Across Diverse ECG Datasets and Noise Conditions Publication: Scientific Reports Authors: Simon Maximilian Wolf, Tim Rahlmeier, Stefan Lustfeld, Detlef Schoder KEY FINDING: Seventeen R-peak detection algorithms were benchmarked across five ECG databases in a unified, reproducible framework. Under strict cross-dataset generalization conditions, traditional signal processing methods outperformed machine learning and deep learning approaches in consistency across diverse signal environments. SIGNIFICANCE: The algorithm used to detect R-peaks in an ECG signal is not a neutral technical detail — it directly shapes the accuracy of every HRV metric derived from that signal. Researchers and practitioners selecting HRV tools should ask how the underlying detection algorithm has been validated across diverse populations and noise conditions. Read the full study: https://www.nature.com/articles/s41598-026-53724-9 Study 2: Heart Rate Optimizer: A Novel Bio-Inspired Metaheuristic Algorithm Publication: Scientific Reports Authors: Mosa E. Hosney, Marwa M. Emam, Mohammed R. Saad, Nagwan Abdel Samee, Essam H. Houssein KEY FINDING: A novel bio-inspired optimization algorithm called the Heart Rate Optimizer — modeled on HRV dynamics and autonomic nervous system regulation — outperformed nine competing state-of-the-art algorithms on standard mathematical benchmarking suites and real-world engineering design problems. SIGNIFICANCE: The success of an algorithm explicitly built around HRV dynamics offers an independent, cross-disciplinary argument for why high HRV matters: the adaptive, flexible balance between sympathetic and parasympathetic regulation that high HRV reflects is computationally rich enough to serve as a blueprint for solving complex, high-dimensional problems. Low HRV, by analogy, corresponds to a system locked out of that adaptive range. Read the full study: https://www.nature.com/articles/s41598-026-44516-2 Study 3: Mental Stress Recognition Using Interpretable Machine Learning Models with Heart Rate Variability Among Chinese University Students Publication: World Journal of Psychiatry Authors: Yan-Ge Wei, Lu-Han Yang, Shi-Sen Qin, Yuan-Le Chen, Jin-Nan Yan, Rong-Xun Liu, Yi-Meng Ma, Chao Wang, Zhen-Jie Song, Fei Wang, Guang-Jun Ji KEY FINDING: In a cross-sectional study of 207 Chinese university students, eleven resting-state HRV parameters showed significant differences between stressed and non-stressed groups. A random forest classifier achieved an AUC of 0.733 (95% CI: 0.655–0.811) and 68.9% accuracy. SHAP analysis identified the Diastolic/Systolic Pressure-Time Index (DPTI/SPTI) as the most important classification feature. SIGNIFICANCE: This observational study found that resting HRV parameters are associated with self-reported stress status — it does not establish that stress caused the observed differences. The findings represent a well-structured proof of concept for HRV-based stress monitori...

May 26, 202653 min

This Week In HRV - Episode 39

This week's lineup takes HRV science somewhere it doesn't always go — into genetics labs, operating theaters, and the physiology of breath control. Five new peer-reviewed studies examine HRV biofeedback combined with mindfulness for long-term workplace stress, a genetic polymorphism that shapes athlete burnout risk, yoga's measurable impact on autonomic function, a novel method for detecting high-intensity thresholds directly from an electrocardiogram signal, and whether a simple preoperative HRV reading can predict dangerous hemodynamic instability in diabetic surgical patients. Each study opens a different window on what HRV can tell us — and what it still can't. Research Highlights This Week 1. Exploring the Long-Term Effects of HRV Biofeedback Interventions Combined with Mindfulness Practices in Alleviating Workplace Stress Among Asian Professionals Publication: International Journal of Innovative Research and Scientific Studies Authors: Adrian Low, Benny Lam KEY FINDING: In a two-group, 8-week trial of 100 Hong Kong professionals, participants who combined HRV biofeedback with structured mindfulness practice showed significantly greater improvements in SDNN, RMSSD, coherence, and perceived stress than those who received biofeedback alone — and crucially, those gains continued to grow at a 6-month follow-up, while the biofeedback-only group showed attrition of benefits. SIGNIFICANCE: The durability gap between the two groups is the central finding here: mindfulness appears to provide a psychological scaffold that sustains the autonomic improvements initiated by biofeedback, even after formal programming ends. Qualitative data also revealed that emotional suppression is a culturally embedded barrier among Asian professionals, and that mindfulness framed around cognitive clarity rather than emotional processing proved more culturally acceptable and sustainable. Read the full study →: https://www.ijirss.com/index.php/ijirss/article/view/11655/2772 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2. The Influence of the COMT Val158Met Polymorphism on Heart Rate Variability Parameters, Psychoemotional Status, and Sports Burnout in Athletes Publication: Research Journal of Pharmacy and Technology Authors: Mavlyanova Z.F., Kim O., Doniyorov B.B., Ibragimova M.S., Khudoykulova F.V., Khalimova F.T. KEY FINDING: Among 100 male athletes, those carrying the AA (Met/Met) genotype of the catechol-O-methyltransferase Val158Met polymorphism showed resting heart rates 9.6% higher and RMSSD values 32.5% lower than GG (Val/Val) athletes, along with 17% higher anxiety scores and significantly greater risk of emotional exhaustion on the Athlete Burnout Questionnaire. The AG heterozygous group fell between both extremes on all measures. SIGNIFICANCE: This observational study suggests that a meaningful portion of the individual variation in athletes' HRV and susceptibility to burnout may be constitutionally determined by catecholamine clearance rate—an enzyme variant that modulates ambient norepinephrine and dopamine levels throughout the autonomic system. For practitioners interpreting chronically suppressed HRV in athletes who appear otherwise well recovered, genotypic baseline differences are a plausible contributor to consider. Read the full study →: https://www.rjptonline.org/HTML_Papers/Research%20Journal%20of%20Pharmacy%20and%20Technology__PID__2026-19-3-25.html ━━━━━━━━━━━━━━...

May 21, 202610 min

The LF/HF Ratio Is Worth Rethinking

The LF/HF ratio has been a fixture in heart rate variability research for decades. In this episode, we take a close look at why it persists, what the evidence actually says it measures, and why it so often appears to be the metric that moves most dramatically—in studies and in consumer apps alike. The 1996 Task Force paper, which helped establish LF/HF as a field standard, was more cautious than its legacy suggests. It described sympathovagal balance as a perspective held by some investigators, not an established fact. That restraint has largely been lost in translation. We examine Billman's 2013 review, The LF/HF Ratio Does Not Accurately Measure Cardiac Sympatho-Vagal Balance, which systematically dismantles the assumptions underlying the ratio—including the finding that LF/HF can rise even when both sympathetic and parasympathetic control decrease. Supporting work from Hopf and colleagues, Goldstein and colleagues, Rahman and colleagues, Martelli and colleagues, Reyes del Paso and colleagues, Thomas and colleagues, and Hayano and Yuda builds a consistent picture: LF/HF does not constitute a clean or reliable sympathetic marker. We also address why the ratio is so mathematically lively—how posture, respiration, mean heart rate, vagal withdrawal, and ratio mechanics can all make LF/HF move without that movement carrying clear physiological meaning. The second half of the episode addresses the consumer side directly. When LF/HF is framed as a readout of sympathetic activation or autonomic balance in an app dashboard, a contested interpretation becomes practical misinformation—not through deception, but by presenting uncertainty as settled science. People use these outputs to decide whether to train, rest, push, or worry. That stakes that framing. The episode closes with a direct call to researchers, clinicians, and app developers: retire LF/HF from primary mechanistic claims, demand transparency about the metrics underlying consumer products, and frame what is genuinely unknown as unknown. Key topics covered Why LF/HF persists despite longstanding methodological criticism What the 1996 Task Force paper actually said—and what got dropped Billman (2013): the core argument against LF/HF as a sympathetic marker Why LF/HF is mathematically sensitive but physiologically non-specific The role of respiration, posture, and mean heart rate in ratio movement Normalized versus absolute spectral values and what gets hidden How contested research interpretations migrate into app dashboards and health decisions Standards being called for: researchers, clinicians, and app developers References Amekran, Y., Damoun, N., & El Hangouche, A. J. (2024). Analysis of frequency-domain heart rate variability using absolute versus normalized values: Implications and practical concerns. Frontiers in Physiology, 15, Article 1470684. https://doi.org/10.3389/fphys.2024.1470684 Berntson, G. G., Bigger, J. T., Jr., Eckberg, D. L., Grossman, P., Kaufmann, P. G., Malik, M., Nagaraja, H. N., Porges, S. W., Saul, J. P., Stone, P. H., & van der Molen, M. W. (1997). Heart rate variability: Origins, methods, and interpretive caveats. Psychophysiology, 34(6), 623–648. https://doi.org/10.1111/j.1469-8986.1997.tb02140.x Billman, G. E. (2013). The LF/HF ratio does not accurately measure cardiac sympatho-vagal balance. Frontiers in Physiology, 4, Article 26. https://doi.org/10.3389/fphys.2013.00026 DeBeck, L. D., Petersen, S. R., Jones, K. E., & Stickland, M. K. (2010). Heart rate variability and muscle sympathetic nerve activity response to acute stress:...

May 19, 202652 min

This Week In HRV - Episode 38

HRV, Stress, Spirituality, and the Body's Hidden Autonomic Life: 4 Studies Worth Your Time Heart rate variability research doesn't always stay neatly inside the cardiovascular system — and this week's episode is proof. From the psychological interior of hypertensive patients, to the anatomy of the vagus nerve in a clinical encounter with postprandial dysfunction, to the cutting edge of wearable biosensor engineering, to a theoretical physics framework for understanding catastrophic neurological collapse, Episode 38 covers four studies that each push our understanding of autonomic physiology into new territory. Whether you're a clinician, researcher, coach, or practitioner, there's something in this episode that will change how you think about what HRV is actually measuring. Research Highlights This Week 1. Your Inner Life Shows Up in Your Heart Rate Publication: Healthcare Authors: Funda Eldemir, İsa Ardahanlı KEY FINDING: In a sample of hypertensive patients, higher perceived stress was significantly associated with reduced heart rate variability indices reflecting parasympathetic activity, while higher spiritual orientation was associated with more favorable autonomic profiles. Critically, spiritual orientation appeared to buffer the adverse autonomic effects of perceived stress — patients with high stress but high spiritual orientation maintained better heart rate variability than those with high stress and low spiritual orientation. SIGNIFICANCE: This observational study adds to growing evidence that the psychological and existential dimensions of a patient's life are not separate from their cardiovascular physiology — they are reflected in it. For clinicians and practitioners using heart rate variability monitoring, baseline readings carry information about perceived stress burden and sense of meaning and purpose, not just fitness and sleep. The electrocardiographic repolarization findings add a further layer: spiritual orientation and perceived stress were both associated with indices of ventricular repolarization stability, with potential implications for arrhythmia risk in hypertensive populations. → Read the full study: https://www.mdpi.com/2227-9032/14/10/1316 2. When Eating Disrupts the Heart: A Case for the Vagus Nerve Publication: Cureus Authors: Harbi Shehadeh KEY FINDING: This case report describes a patient experiencing postprandial cardiovascular symptoms consistent with disrupted autonomic regulation, treated with osteopathic manipulative techniques targeting the cervical and thoracic spine, diaphragm, and mesenteric attachments. Following treatment, the patient reported substantial symptom improvement, and heart rate variability measurements showed changes consistent with improved parasympathetic tone and reduced sympathovagal imbalance in the postprandial recording window. SIGNIFICANCE: As a single-patient case report, this paper cannot establish efficacy or prove causation, but it presents a mechanistically coherent hypothesis: that fascial and structural dysfunction along the anatomical course of the vagus nerve can contribute to postprandial autonomic dysregulation, and that osteopathic intervention targeting those structures may normalize autonomic function in some patients. For practitioners working with unexplained postprandial cardiovascular symptoms, the case is a reminder that the vagus nerve is a physical structure embedded in tissue — and its mechanical environment matters. → Read the full study:

May 12, 202652 min

This Week In HRV - Episode 37

This week on This Week in Heart Rate Variability, Matt Bennett covers five peer-reviewed studies that span the full breadth of HRV science — from a controlled laboratory experiment on fast-paced breathing to a neurointensive care unit monitoring study, with stops along the way at the gut microbiome, a drowsy driver detection system, and a case report on osteopathic treatment for postprandial dizziness. These are the papers shaping how researchers and practitioners understand autonomic function right now. RESEARCH HIGHLIGHTS THIS WEEK 1. When Fast Breathing Meets the Heart: Not All Frequencies Are Equal Publication: Psychophysiology Authors: Maša Iskra, Sylvain Laborde, Tasha Poppa, Caterina Salvotti, Elisa Weinand, Markus Raab, Laura Voigt KEY FINDING: In 38 physically active adults completing breathing conditions at 6, 15, 35, and 55 cycles per minute, fast-paced breathing at 55 cycles per minute produced a reciprocally coupled autonomic response — simultaneously reduced HRV (via RMSSD) and increased cardiac contractility (via shorter pre-ejection period) — while 35 cycles per minute reduced HRV without significantly elevating cardiac contractility. The full sympatho-vagal activation pattern is frequency-dependent and only reliably emerges at the higher frequency tested. SIGNIFICANCE: Practitioners using fast-paced breathing as a pre-performance activation tool cannot assume that any frequency above the spontaneous range produces the same physiological effect. This study provides the first rigorous dual-measure characterization of autonomic cardiac responses across a range of fast-paced breathing frequencies, and the frequency threshold finding has direct implications for protocol design. The independence of HRV and cardiac contractility at the individual level also underscores the value of simultaneously measuring both branches of the autonomic nervous system. → Read the full study: https://doi.org/10.1111/psyp.70305 2. Your Gut, Your Vagus Nerve, and Your Immune System: A Three-Way Conversation in Infectious Disease Publication: Cureus Authors: Shruti Tiwari, Uprinder Kaur, Narinder Kaur, Waqas Alauddin, Sayali Khairnar, Rosy Bala, Vipasha Kaushal, Mohit Mishra KEY FINDING: This PRISMA-guided systematic review of eleven studies found consistent evidence that gut microbiota dysbiosis increases intestinal permeability and drives systemic elevation of pro-inflammatory cytokines, including interleukin-6, tumor necrosis factor-alpha, and interferon-gamma. The autonomic nervous system — particularly via vagal signaling and the cholinergic anti-inflammatory pathway — functions as a critical intermediary between gut microbial state and immune regulation. When dysbiosis disrupts bidirectional gut-brain communication, the result is autonomic imbalance and impaired immune control, worsening infectious disease severity and mortality. SIGNIFICANCE: For HRV researchers and clinicians, this review provides a mechanistic account of why vagal tone and HRV decline during infection and why that decline carries prognostic weight. The vagus nerve sits at the convergence of microbial, immune, and autonomic regulation, and its functional state — indexed by HRV — reflects the integrity of the entire network. The overall evidence quality was rated low to moderate, and the authors call for longitudinal interventional studies with standardized methods before therapeutic conclusions can be drawn. → Read the full study: https://www.cureus.com/articles/484173-the-gut-brain-im...

May 5, 202652 min

This Week In HRV - Episode 36

This week on This Week in Heart Rate Variability, we cover seven studies that push the boundaries of where HRV science is being applied — from predicting cardiovascular events in asymptomatic adults to detecting anger using a wrist sensor, from modeling how blood pressure cascades through the brain to understanding what happens to a mother's nervous system when her baby is born too soon. We also close with a genuinely surprising study using wearable jewelry as an HRV-measurable intervention for depression. Whether you're a clinician, a researcher, or simply someone fascinated by the science of the nervous system, this episode has something for you. Research Highlights This Week 1. When Trauma Becomes Growth: HRV in Brain Tumor Patients and Caregivers Publication: Cancer Medicine Authors: Tenggang Shen, Ting Shu, Zijun Yuan, Detian Liu, Linxin Xie, Hongzhen Xie KEY FINDING: In a study of 55 brain tumor patient-caregiver dyads, caregivers showed significantly higher total, high-frequency, and low-frequency power than patients. Across both groups, individuals who showed posttraumatic growth had significantly higher SDNN and RMSSD than those who did not. SIGNIFICANCE: HRV may serve as an objective physiological correlate of posttraumatic growth — suggesting that greater parasympathetic capacity is associated with the kind of psychological processing that enables growth after trauma. This opens a potential pathway for using HRV as a biomarker to identify individuals who may benefit from growth-oriented psychosocial interventions. → Read full study 2. Your Resting HRV Today, Your Heart Health Tomorrow Publication: Journal of Health, Wellness and Community Research Authors: Mohammad Asad Shaheen Baloch, Ayesha Ashraf, Shanza Ahmad, Abdullah Saeed, Turfa Asghar, Muhammad Rahman, Muhammad Rizwan KEY FINDING: In a 12-month prospective cohort of 300 asymptomatic adults with cardiovascular risk factors, cardiovascular event rates were 23.5% in the low HRV group, 13.3% in the intermediate group, and 6.0% in the high HRV group. After adjusting for age, hypertension, obesity, diabetes, and smoking, low HRV remained an independent predictor of events with an adjusted hazard ratio of 3.12. SIGNIFICANCE: A simple five-minute resting HRV measurement predicts who will experience a cardiovascular event over the next year, independently of conventional risk markers. This supports HRV as a practical, inexpensive addition to cardiovascular risk stratification in clinical settings — particularly in populations with multiple cardiometabolic risk factors. → Read full study 3. Can Your Heartbeat Reveal Your Anger? Publication: Iranian Journal of Psychiatry and Behavioral Sciences Authors: Zahra Dehghanizadeh, Behrooz Dolatshahi, Masoud Nosratabadi, Hadi Moradi KEY FINDING: Using a blood volume pulse sensor and biofeedback device, the RR interval — the time between successive heartbeats — distinguished high-anger from low-anger adults with an area under the curve of 0.71, outperforming frequency-domain measures. The optimal cut-off RR value was 690.66 milliseconds. SIGNIFICANCE: Even a simple time-domain HRV measure derived from a consumer-grade sensor carries meaningful signals about a person's anger profile. While not a stand-alone clinical tool, this finding supports the inclusion of RR interval data in wearable emotion recognition systems and opens pathways for physiological monitoring in anger-related mental health contexts....

April 30, 20261 hr 11 min

Stephanie White Talks HRV Science and Heart Health

In this episode, Stephanie White joins Matt Bennett to discuss fascinating science related to heart health and HRV at the cellular level.

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