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Functional magnetic resonance imaging (fMRI) is a popular brain imaging modality with a wide range of use in clinical research. A major problem with fMRI signals is the presence of systemic physiological fluctuations in the low frequency range (<0.15 Hz), which significantly lowers detection power for task induced hemodynamic responses to neuronal activation. In the present study, we evaluate a...
Heart rate variability analysis is fast gaining acceptance as a potential non-invasive means of autonomic nervous system assessment in research as well as clinical domains. In this study, a new nonlinear analysis method is used to detect the degree of nonlinearity and stochastic nature of heart rate variability signals during two forms of meditation (Chi and Kundalini). The data obtained from an online...
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