Categorization of waveform morphologies

A method of visualizing waveforms corresponding to a type of blood flow within one or more cerebral arteries of a subject, comprising:

• collecting data about a waveform using ultrasound insonation;
• automatically identifying three morphological variables of the waveform from the data, wherein the three morphological variables comprise:
• a first variable comprising an absolute peak onset of the waveform, a second variable comprising a length of a canopy of the waveform, and a third variable comprising one or more of a number of one or more auxiliary peaks of the waveform or prominence of the one or more auxiliary peaks of the waveform;
• mapping the three morphological variables to a three-dimensional space defined by three axes, wherein each of the three morphological variables corresponds to one of the three axes;
• automatically referencing two or more predetermined categories that correspond to a range of combinations of the morphological variables based on the three-dimensional space;
• automatically determining a probability that the waveform belongs to each of the two or more categories;
• categorizing the waveform as belonging to one of the two or more categories;
• displaying the one of the two or more categories;
• and
• indicating the probability that the waveform falls into each of the two or more categories.

A device for visualizing categorization of a waveform corresponding to a type of blood flow within one or more cerebral arteries of a subject, wherein the device comprises:

• a probe configured to collect data from the waveform;
• a processing circuit configured to:
• identify three morphological variables of the waveform from the data, wherein the three morphological variables comprise:
• a first variable comprising an absolute peak onset of the waveform, a second variable comprising a length of a canopy of the waveform, and a third variable comprising one or more of a number of one or more auxiliary peaks of the waveform or prominence of the one or more auxiliary peaks of the waveform;
• map the three morphological variables to a three-dimensional space defined by three axes, wherein each of the three morphological variables corresponds to one of the three axes;
• reference two or more predetermined categories that correspond to a range of combinations of the morphological variables based on the three-dimensional space;
• determine a probability that the waveform belongs to each of the two or more predetermined categories;
• and
• categorize the waveform as belonging to one of the two or more predetermined categories;
• and
• an output device, wherein the output device displays the one of the two or more predetermined categories and the probability determined by the processing circuit.