Valentin Ghibaudo,¹ Jules Granget,¹,³ Matthias Dereli,¹ Nathalie Buonviso,¹,² and Samuel Garcia¹,²
¹Centre de Recherche en Neuroscience de Lyon, Lyon, 69500, France
²Centre National de la Recherche Scientifique, Lyon, 69500, France
³Institut National de la Santé et de la Recherche Médicale, UMRS1158 Neurophysiologie Respiratoire Expérimentale et Clinique, Sorbonne Université, Paris, 75005, France
https://doi.org/10.1523
Abstract:
Respiratory sinus arrhythmia (RSA), the natural variation in heart rate synchronized with respiration, has been extensively studied in emotional and cognitive contexts. Various time or frequency-based methods using the cardiac signal have been proposed to analyze RSA. In this study, we present a novel approach that combines respiratory phase and heart rate to enable a more detailed analysis of RSA and its dynamics throughout the respiratory cycle. To facilitate the application of this method, we have implemented it in an open-source.
