A Unifying Method to Study Respiratory Sinus Arrhythmia Dynamics Implemented in a New Toolbox

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



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.

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