Heart rate variability biofeedback in a global study of the most common coherence frequencies and the impact of emotional states
Rattachement africain : us, lt. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
This global study analyzed data from the largest dataset ever studied in the Heart Rate Variability (HRV) biofeedback field, comprising 1.8 million user sessions collected from users of a mobile app during 2019 and 2020. We focused on HRV Coherence, which is linked to improved emotional stability and cognitive function. Positive emotions reported by users were associated with higher Coherence scores and more stable HRV frequencies. In contrast, negative emotions exhibited lower scores and more dispersed frequency distributions. The most common frequency associated with Coherence was identified at 0.10 Hz. However, many users with the highest levels of Coherence fell within a lower range from 0.04 to 0.10 Hz. Most users exhibited high stability (standard deviation < 0.012 Hz) in their coherence frequencies from session to session, and their stability within a given session increased with increasing Coherence. The insights gained from this extensive dataset suggest that by instructing users to breathe deeper and slower and find a rhythm that's comfortable, they naturally find their unique resonant frequency. The findings provide a strong foundation for future research and the development of targeted interventions aimed at enhancing emotional and physiological well-being through HRV biofeedback and coherence practices.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Heart rate variability biofeedback in a global study of the most common coherence frequencies and the impact of emotional states
- Date Crossref
- 25/01/2025
- Éditeur
- Springer Science and Business Media LLC
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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HeartMath Institute pays non établi dans la noticeOrganisation à but non lucratif
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Capitol Technology University pays non établi dans la noticeUniversité ou école supérieure
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Kaunas University of Technology pays non établi dans la noticeUniversité ou école supérieure
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Lithuanian University of Health Sciences Institute of Cardiology pays non établi dans la noticeUniversité ou école supérieure
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Faculty of Mathematics and Natural Sciences pays non établi dans la noticeUniversité ou école supérieure
HeartMath Institute, Capitol Technology University et Kaunas University of Technology, avec 2 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.