Induced Relaxation Enhances the Cardiorespiratory Dynamics in COVID-19 Survivors
Authors:
- Alejandra Margarita Sánchez-SolísAlejandra Margarita Sánchez-Solís
- Viridiana Peláez-HernándezViridiana Peláez-Hernández
- Laura Mercedes Santiago-FuentesLaura Mercedes Santiago-Fuentes
- Guadalupe Lizzbett Luna-RodríguezGuadalupe Lizzbett Luna-Rodríguez
- José Javier Reyes-LagosJosé Javier Reyes-Lagos
- Arturo Orea-TejedaArturo Orea-Tejeda
Open Access
Abstract
Most COVID-19 survivors report experiencing at least one persistent symptom after recovery, including sympathovagal imbalance. Relaxation techniques based on slow-paced breathing have proven to be beneficial for cardiovascular and respiratory dynamics in healthy subjects and patients with various diseases. Therefore, the present study aimed to explore the cardiorespiratory dynamics by linear and nonlinear analysis of photoplethysmographic and respiratory time series on COVID-19 survivors under a psychophysiological assessment that includes slow-paced breathing. We analyzed photoplethysmographic and respiratory signals of 49 COVID-19 survivors to assess breathing rate variability (BRV), pulse rate variability (PRV), and pulse–respiration quotient (PRQ) during a psychophysiological assessment. Additionally, a comorbidity-based analysis was conducted to evaluate group changes. Our results indicate that all BRV indices significantly differed when performing slow-paced breathing. Nonlinear parameters of PRV were more appropriate for identifying changes in breathing patterns than linear indices. Furthermore, the mean and standard deviation of PRQ exhibited a significant increase while sample and fuzzy entropies decreased during diaphragmatic breathing. Thus, our findings suggest that slow-paced breathing may improve the cardiorespiratory dynamics of COVID-19 survivors in the short term by enhancing cardiorespiratory coupling via increased vagal activity.Keywords
Funding Information
- Fundación Gonzalo Río Arronte
This publication has 80 references indexed in Scilit:
- Short-Term Heart Rate Variability—Influence of Gender and Age in Healthy SubjectsPLOS ONE, 2015
- A healthy heart is not a metronome: an integrative review of the heart's anatomy and heart rate variabilityFrontiers in Psychology, 2014
- Heart rate variability biofeedback: how and why does it work?Frontiers in Psychology, 2014
- Kubios HRV – Heart rate variability analysis softwareComputer Methods and Programs in Biomedicine, 2014
- The Promise of Heart Rate Variability Biofeedback: Evidence-Based ApplicationsBiofeedback, 2013
- Nonlinear Methods to Assess Changes in Heart Rate Variability in Type 2 Diabetic PatientsArquivos Brasileiros de Cardiologia, 2013
- The relationship of autonomic imbalance, heart rate variability and cardiovascular disease risk factorsInternational Journal of Cardiology, 2010
- Measuring complexity using FuzzyEn, ApEn, and SampEnMedical Engineering & Physics, 2008
- An endogenous circadian rhythm of respiratory control in humansThe Journal of Physiology, 2000
- A definition of a nonprobabilistic entropy in the setting of fuzzy sets theoryInformation and Control, 1972