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: Systems, apparatuses, methods, and non-transitory computer-readable media related to a tool for determining presence or absence of a neurological condition in a subject are provided. The tool includes an ultrasound device configured to collect ultrasound data from a head of the subject. The tool further includes a processing circuit configured to calculate a curvature metric based on the ultrasound data. The processing circuit is further configured to calculate a velocity asymmetry metric based on the ultrasound data. The tool is further configured to determine presence or absence of the neurological condition in the subject based on the curvature metric and the velocity asymmetry metric.

Abstract: Systems, apparatuses, methods, and non-transitory computer-readable media for mapping a section of a vasculature of a subject are described herein, including moving a probe to a first position at a body of the subject adjacent the section of the vasculature; transmitting, by the probe, a first ultrasound beam into a first portion of the section of the vasculature through the body of the subject; receiving first ultrasound data including at least one imaging parameter of the first portion based on the first ultrasound beam; moving the probe to a second position at the body of the subject adjacent the section of the vasculature and different from the first position; transmitting, by the probe, a second ultrasound beam into a second portion of the section of the vasculature through the body of the subject; receiving second ultrasound data including the at least one imaging parameter of the second portion based on the second ultrasound beam; and constructing a map of the section of the vasculature based on the fi

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: Systems, apparatuses, methods, and non-transitory computer-readable media for mapping a section of a vasculature of a subject are described herein, including moving a probe to a first position at a body of the subject adjacent the section of the vasculature; transmitting, by the probe, a first ultrasound beam into a first portion of the section of the vasculature through the body of the subject; receiving first ultrasound data including at least one imaging parameter of the first portion based on the first ultrasound beam; moving the probe to a second position at the body of the subject adjacent the section of the vasculature and different from the first position; transmitting, by the probe, a second ultrasound beam into a second portion of the section of the vasculature through the body of the subject; receiving second ultrasound data including the at least one imaging parameter of the second portion based on the second ultrasound beam; and constructing a map of the section of the vasculature based on the fi

Abstract: Systems, apparatuses, methods, and non-transitory computer-readable media for mapping a section of a vasculature of a subject are described herein, including moving a probe to a first position at a body of the subject adjacent the section of the vasculature; transmitting, by the probe, a first ultrasound beam into a first portion of the section of the vasculature through the body of the subject; receiving first ultrasound data including at least one imaging parameter of the first portion based on the first ultrasound beam; moving the probe to a second position at the body of the subject adjacent the section of the vasculature and different from the first position; transmitting, by the probe, a second ultrasound beam into a second portion of the section of the vasculature through the body of the subject; receiving second ultrasound data including the at least one imaging parameter of the second portion based on the second ultrasound beam; and constructing a map of the section of the vasculature based on the fi

Abstract: Systems, apparatuses, methods, and non-transitory computer-readable media related to a tool for determining presence or absence of a neurological condition in a subject are provided. The tool includes an ultrasound device configured to collect ultrasound data from a head of the subject. The tool further includes a processing circuit configured to calculate a curvature metric based on the ultrasound data. The processing circuit is further configured to calculate a velocity asymmetry metric based on the ultrasound data. The tool is further configured to determine presence or absence of the neurological condition in the subject based on the curvature metric and the velocity asymmetry metric.

Abstract: Systems, apparatuses, methods, and non-transitory computer-readable media for mapping a section of a vasculature of a subject are described herein, including moving a probe to a first position adjacent the section of the vasculature; transmitting, by the probe, a first ultra-sound beam into a first portion of the section of the vasculature through the body of the subject; receiving first ultra-sound data including at least one imaging parameter; moving the probe to a second position at the body of the subject adjacent the section of the vasculature and different from the first position; transmitting, by the probe, a second ultrasound beam into a second portion of the section of the vasculature through the body of the subject; receiving second ultrasound data including the at least one imaging parameter; and constructing a map of the section of the vasculature based on the first ultrasound data and the second ultrasound data.

Abstract: Systems, apparatuses, methods, and non-transitory computer-readable media related to a tool for determining presence or absence of a neurological condition in a subject are provided. The tool includes an ultrasound device configured to collect ultrasound data from a head of the subject. The tool further includes a processing circuit configured to calculate a curvature metric based on the ultrasound data. The processing circuit is further configured to calculate a velocity asymmetry metric based on the ultrasound data. The tool is further configured to determine presence or absence of the neurological condition in the subject based on the curvature metric and the velocity asymmetry metric.

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: Systems, apparatuses, methods, and non-transitory computer-readable media for assessing signal quality of a signal are described herein, including determining a signal quality assessment (SQA) metric of the signal based on at least one energy function of the signal, determining whether the SQA metric is above a threshold, and in response to determining that the SQA metric is above the threshold, performing additional signal processing of the signal.

Abstract: Systems, apparatuses, methods, and non-transitory computer-readable media related to a tool for determining presence or absence of a neurological condition in a subject are provided. The tool includes an ultrasound device configured to collect ultrasound data from a head of the subject. The tool further includes a processing circuit configured to calculate a curvature metric based on the ultrasound data. The processing circuit is further configured to calculate a velocity asymmetry metric based on the ultrasound data. The tool is further configured to determine presence or absence of the neurological condition in the subject based on the curvature metric and the velocity asymmetry metric.

Abstract: Systems, apparatuses, methods, and non-transitory computer-readable media for mapping a section of a vasculature of a subject are described herein, including moving a probe to a first position at a body of the subject adjacent the section of the vasculature; transmitting, by the probe, a first ultrasound beam into a first portion of the section of the vasculature through the body of the subject; receiving first ultrasound data including at least one imaging parameter of the first portion based on the first ultrasound beam; moving the probe to a second position at the body of the subject adjacent the section of the vasculature and different from the first position; transmitting, by the probe, a second ultrasound beam into a second portion of the section of the vasculature through the body of the subject; receiving second ultrasound data including the at least one imaging parameter of the second portion based on the second ultrasound beam; and constructing a map of the section of the vasculature based on the fi

Abstract: Systems, apparatuses, methods, and non-transitory computer-readable media for assessing signal quality of a signal are described herein, including determining a signal quality assessment (SQA) metric of the signal based on at least one energy function of the signal, determining whether the SQA metric is above a threshold, and in response to determining that the SQA metric is above the threshold, performing additional signal processing of the signal.

Abstract: Systems, apparatuses, methods, and non-transitory computer-readable media for mapping a section of a vasculature of a subject are described herein, including moving a probe to a first position at a body of the subject adjacent the section of the vasculature; transmitting, by the probe, a first ultrasound beam into a first portion of the section of the vasculature through the body of the subject; receiving first ultrasound data including at least one imaging parameter of the first portion based on the first ultrasound beam; moving the probe to a second position at the body of the subject adjacent the section of the vasculature and different from the first position; transmitting, by the probe, a second ultrasound beam into a second portion of the section of the vasculature through the body of the subject; receiving second ultrasound data including the at least one imaging parameter of the second portion based on the second ultrasound beam; and constructing a map of the section of the vasculature based on the fi