Cardiorespiratory Features Evaluated for Machine Learning Classification of Anxiety Stimuli
A machine learning study evaluating Hilbert- and wavelet-derived cardiorespiratory features found high within-dataset accuracy for classifying anxiety-inducing stimuli but near-chance ...










