Waveform visualization tool for facilitating medical diagnosis
A tool for facilitating medical diagnosis is disclosed herein, including an ultrasound device configured to collect ultrasound data from a patient, a display device, and a processing circuit configured to generate a cerebral blood flow velocity (CBFV) waveform based on the ultrasound data, determine morphology indicators identifying attributes of the CBFV waveform, and configure the display device to display the CBFV waveform and the morphology indicators.
1. A tool for facilitating medical diagnosis, comprising:
an ultrasound device, wherein the ultrasound device is configured to collect ultrasound data from a patient;
a processing circuit configured to:
generate a cerebral blood flow velocity (CBFV) waveform based on the ultrasound data;
determine morphology attributes of the CBFV waveform, wherein the morphology attributes comprises at least high curvature and low curvature;
determine two or more morphology indicators that correspond to each of the morphology attributes, wherein the two or more morphology indicators comprise at least a first morphology indicator highlighting the high curvature and a second morphology indicator highlighting the low curvature, wherein the high curvature deviates from being a straight line at a greater rate than the low curvature; and
determine that the patient is experiencing a medical condition based on the morphology indicators; and
a display device configured to:
display the CBFV waveform comprising the morphology attributes;
highlight the morphology attributes by displaying each of the two or more morphology indicators on or adjacent to a corresponding one of the morphology attributes of the CBFV waveform, wherein the display device is configured to display the CBFV waveform and the two or more morphology indicators as the ultrasound data is being collected, wherein the two or more morphology indicators comprise the first morphology indicator highlighting the high curvature at a first position of the CBFV waveform and the second morphology indicator highlighting the low curvature at a second position of the CBFV waveform, and wherein the first morphology indicator and the second morphology indicator are graphically distinct, and
display a notification related to the medical condition.
2. The tool of claim 1 , wherein the processing circuit generates the CBFV waveform based on the ultrasound data by:
generating a plurality of CBFV waveforms based on the ultrasound data, each of the plurality of CBFV waveforms corresponding to a pulse; and
the CBFV waveform used to determine the morphology attributes is derived from the plurality of CBFV waveforms.
3. The tool of claim 2 , wherein configuring the display device to display the CBFV waveform and the morphology indicators comprises configuring the display device to display the plurality of CBFV waveforms in a first display window.
4. The tool of claim 3 , wherein configuring the display device to display the CBFV waveform and the morphology indicators comprises configuring the display device to display the CBFV waveform and the morphology indicators in a second display window.
5. The tool of claim 2 , further comprising deriving the CBFV waveform from the plurality of CBFV waveforms by one or more of filtering the plurality of CBFV waveforms and averaging the plurality of CBFV waveforms.
6. The tool of claim 1 , wherein determining the morphology indicators that correspond to each of the morphology attributes of the CBFV waveform comprises:
segmenting a detected CBFV waveform into distinct CBFV waveforms; and
identifying the morphology attributes for the CBFV waveform that is an average of the distinct CBFV waveforms.
7. The tool of claim 1 , wherein the morphology attributes comprise at least one peak on the CBFV waveform.
8. The tool of claim 7 , wherein configuring the display device to display the CBFV waveform and the morphology indicators comprises configuring the display device to display a peak indicator corresponding to each of the at least one peak of the CBFV waveform.
9. The tool of claim 1 , wherein the processing circuit is further configured to:
use machine learning to determine that the patient is experiencing the medical condition.
10. The tool of claim 9 , wherein in response to determining that the patient is experiencing the medical condition, the processing circuit is further configured to:
send an email, a page, or a short message service (SMS) message to an operator;
call the operator; and/or
configure a medical device to administer a drug to treat the medical condition.
11. The tool of claim 1 , wherein the processing circuit is further configured to:
determine, based on machine learning, that a probe of the ultrasound device is misaligned based on the morphology indicators; and
automatically adjust a position of the probe.
12. The tool of claim 1 , wherein the first morphology indicator is disposed to contain the first position of the CBFV waveform and the second morphology indicator is disposed to contain the second position of the CBFV waveform.
13. The tool of claim 1 , wherein the determining the morphology attributes of the CBFV waveform comprises:
determining one or more beat canopies within the CBFV waveform;
determining local curvatures for each time point of the one or more beat canopies;
summing the local curvatures for each of the one or more beat canopies to determine an overall curvature for each of the one or more beat canopies; and
determining the beat canopies indicating the high curvature or the low curvature based on the overall curvature.
14. A method for facilitating medical diagnosis, comprising:
collecting, with an ultrasound device, ultrasound data from a patient;
generating a cerebral blood flow velocity (CBFV) waveform based on the ultrasound data;
determining morphology attributes of the CBFV waveform, wherein the morphology attributes comprises at least high curvature and low curvature;
determining two or more morphology indicators that correspond to each of the morphology attributes, wherein the two or more morphology indicators comprise at least a first morphology indicator highlighting the high curvature and a second morphology indicator highlighting the low curvature, wherein the high curvature deviates from being a straight line at a greater rate than the low curvature;
displaying, on a display device, the CBFV waveform comprising the morphology attributes;
highlighting the morphology attributes by displaying each of the two or more morphology indicators on or adjacent to corresponding one of the morphology attributes of the CBFV waveform, wherein the display device is configured to display the CBFV waveform and the two or more morphology indicators as the ultrasound data is being collected, wherein the two or more morphology indicators comprise the first morphology indicator highlighting the high curvature at a first position of the CBFV waveform and the second morphology indicator highlighting the low curvature at a second position of the CBFV waveform, and wherein the first morphology indicator and the second morphology indicator are graphically distinct; and
determining, using processing circuitry, that a patient is experiencing a medical condition based on the morphology indicators and configuring the display device to display a notification related to the medical condition.
15. The method of claim 14 , wherein determining the morphology indicators identifying the morphology attributes of the CBFV waveform comprises:
segmenting a detected CBFV waveform into distinct CBFV waveforms; and
identifying the morphology attributes for the CBFV waveform that is an average of the distinct CBFV waveforms.
16. The method of claim 14 , wherein:
the morphology attributes comprise at least one peak on the CBFV waveform; and
displaying the CBFV waveform and the morphology indicators comprises displaying a peak indicator corresponding to each of the at least one peak of the CBFV waveform.
17. A non-transitory processor-readable medium storing processor-readable instructions such that, when executed, causes a processor to facilitate medical diagnosis by:
collecting ultrasound data from a patient;
generating a cerebral blood flow velocity (CBFV) waveform based on the ultrasound data;
determining morphology attributes of the CBFV waveform, wherein the morphology attributes comprises at least high curvature and low curvature;
determining two or more morphology indicators that correspond to each of the morphology attributes, wherein the two or more morphology indicators comprise at least a first morphology indicator highlighting the high curvature and a second morphology indicator highlighting the low curvature, wherein the high curvature deviates from being a straight line at a greater rate than the low curvature;
displaying, on a display device, the CBFV waveform comprising the morphology attributes; and
highlighting the morphology attributes by displaying each of the two or more morphology indicators on or adjacent to corresponding one of the morphology attributes of the CBFV waveform, wherein the display device is configured to display the CBFV waveform and the two or more morphology indicators as the ultrasound data is being collected, wherein the two or more morphology indicators comprise the first morphology indicator highlighting high curvature at a first position of the CBFV waveform and the second morphology indicator highlighting low curvature at a second position of the CBFV waveform, and wherein the first morphology indicator and the second morphology indicator are graphically distinct, and
determining that a patient is experiencing a medical condition based on the morphology indicators and configuring the display device to display a notification related to the medical condition.
18. The tool of claim 1 , wherein each of the morphology indicators visually identifies an exact position of a corresponding one of the morphology attributes on the CBFV waveform.