Abstract: Arrangements described herein relate to systems, apparatuses, and methods for categorizing a waveform that includes processing a signal containing ultrasound data about the waveform, identifying one or more morphological variables of the waveform based on the ultrasound data, identifying one or more categories that correspond to a range of combinations of the morphological variables, and categorizing the waveform as belonging to one of the one or more categories. In some arrangements, the method may further include visualizing the waveforms, determining a probability that the waveform belongs to each of the one or more categories, and/or displaying the probability that the waveform falls into each of the one or more categories. Morphological variables may include quantifying absolute peak onset, number/prominence of auxiliary peaks, and systolic canopy length.

Abstract: Arrangements described herein relate to systems, apparatuses, and methods for categorizing a waveform that includes processing a signal containing ultrasound data about the waveform, identifying one or more morphological variables of the waveform based on the ultrasound data, identifying one or more categories that correspond to a range of combinations of the morphological variables, and categorizing the waveform as belonging to one of the one or more categories. In some arrangements, the method may further include visualizing the waveforms, determining a probability that the waveform belongs to each of the one or more categories, and/or displaying the probability that the waveform falls into each of the one or more categories. Morphological variables may include quantifying absolute peak onset, number/prominence of auxiliary peaks, and systolic canopy length.

Abstract: Arrangements described herein relate to systems, apparatuses, and methods for categorizing a waveform that includes processing a signal containing ultrasound data about the waveform, identifying one or more morphological variables of the waveform based on the ultrasound data, identifying one or more categories that correspond to a range of combinations of the morphological variables, and categorizing the waveform as belonging to one of the one or more categories. In some arrangements, the method may further include visualizing the waveforms, determining a probability that the waveform belongs to each of the one or more categories, and/or displaying the probability that the waveform falls into each of the one or more categories. Morphological variables may include quantifying absolute peak onset, number/prominence of auxiliary peaks, and systolic canopy length.