Systems and methods for detecting neurological conditions
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.
1. A tool for determining presence or absence of a neurological condition in a subject, comprising:
an ultrasound device configured to collect ultrasound data from a head of the subject;
a processing circuit configured to:
determine a curvature metric based on the ultrasound data;
determine uncertainty in identifying the presence or the absence of the neurological condition in the subject based on the curvature metric;
in response to determining the uncertainty, determine a velocity asymmetry metric based on the ultrasound data to address the uncertainty; and
in response to determining the velocity asymmetry metric, determine the presence or the absence of the neurological condition in the subject based on the velocity asymmetry metric.
2. The tool in claim 1 , wherein determining the uncertainty in identifying the presence or the absence of the neurological condition in the subject based on the curvature metric comprises determining that the curvature metric is between a minimum curvature threshold and a maximum curvature threshold.
3. The tool in claim 2 , wherein one or more of the minimum curvature threshold or the maximum curvature threshold are configured to be increased or decreased by an operator of the tool.
4. The tool in claim 2 , wherein in response to determining the uncertainty, determining the velocity asymmetry metric based on the ultrasound data comprises in response to determining that determining that the curvature metric is between the minimum curvature threshold and the maximum curvature threshold, comparing the velocity asymmetry metric to a velocity asymmetry threshold.
5. The tool of claim 4 , wherein, in response to determining that the velocity asymmetry metric is less than the velocity asymmetry threshold, the processing circuit is configured to determine the presence of the neurological condition.
6. The tool of claim 4 , wherein, in response to determining that the velocity asymmetry metric is greater than the velocity asymmetry threshold, the processing circuit is configured to determine absence of the neurological condition.
7. The tool of claim 1 , wherein the ultrasound data comprises a first blood flow waveform from a first anatomical portion of the head of the subject and a second blood flow waveform from a second anatomical portion of the head of the subject, the first anatomical portion different from the second anatomical portion.
8. The tool of claim 7 , wherein the first anatomical portion comprises a first blood vessel of the head of the subject and the second anatomical portion comprises a second blood vessel of the head of the subject.
9. The tool of claim 8 , wherein the first blood vessel comprises a right middle cerebral artery of the subject and the second blood vessel comprises a left middle cerebral artery of the subject.
10. The tool of claim 1 , wherein the neurological condition comprises Large Vessel Occlusion.
11. The tool of claim 1 , wherein
the tool further comprises or is operatively coupled to a display; and
the processing circuit is further configured to cause the display to show one or more indicators at the display representing the calculated curvature metric and the velocity asymmetry metric.
12. A method for determining presence or absence of a neurological condition in a subject, comprising:
determining a curvature metric based on ultrasound data collected from a head of the subject;
determining uncertainty in identifying the presence or the absence of the neurological condition in the subject based on the curvature metric;
in response to determining the uncertainty, determining a velocity asymmetry metric based on the ultrasound data to address the uncertainty; and
in response to determining the velocity asymmetry metric, determining the presence or the absence of the neurological condition in the subject based on the velocity asymmetry metric.
13. At least one non-transitory processor-readable medium storing processor-readable instructions such that, when executed, causes a processor to determine presence or absence of a neurological condition by:
determining a curvature metric based on ultrasound data collected from a head of the subject;
determining uncertainty in identifying the presence or the absence of the neurological condition in the subject based on the curvature metric;
in response to determining the uncertainty, determining a velocity asymmetry metric based on the ultrasound data to address the uncertainty; and
in response to determining the velocity asymmetry metric, determining the presence or the absence of the neurological condition in the subject based on the velocity asymmetry metric.
14. The non-transitory processor-readable medium in claim 13 , wherein determining the uncertainty in identifying the presence or the absence of the neurological condition in the subject based on the curvature metric comprises determining that the curvature metric is between a minimum curvature threshold and a maximum curvature threshold.
15. The non-transitory processor-readable medium in claim 14 , wherein one or more of the minimum curvature threshold or the maximum curvature threshold are configured to be increased or decreased by an operator of the tool.
16. The non-transitory processor-readable medium in claim 15 , wherein in response to determining the uncertainty, determining the velocity asymmetry metric based on the ultrasound data comprises in response to determining that determining that the curvature metric is between the minimum curvature threshold and the maximum curvature threshold, comparing the velocity asymmetry metric to a velocity asymmetry threshold.
17. The non-transitory processor-readable medium of claim 16 , wherein, in response to determining that the velocity asymmetry metric is less than the velocity asymmetry threshold, the processing circuit is configured to determine the presence of the neurological condition.
18. The non-transitory processor-readable medium of claim 16 , wherein, in response to determining that the velocity asymmetry metric is greater than the velocity asymmetry threshold, the processing circuit is configured to determine absence of the neurological condition.
19. The non-transitory processor-readable medium of claim 13 , wherein the ultrasound data comprises a first blood flow waveform from a first anatomical portion of the head of the subject and a second blood flow waveform from a second anatomical portion of the head of the subject, the first anatomical portion different from the second anatomical portion.
20. The non-transitory processor-readable medium of claim 13 , wherein the neurological condition comprises Large Vessel Occlusion.