Method and apparatus for malarial-neurologic-injury-mechanism diagnosis

A method of analyzing images using a transcranial sensing device to identify a neurologic-injury-mechanism, the method comprising:

• identifying five images of injury mechanism waveforms that illustrate a repeating pattern of at least one of a peak systolic velocity value, an end-diastolic velocity value, and a diachrotic notch value associated with a specific injury mechanism, wherein the one or more images of injury mechanism waveforms correlate to an age and size of a patient;
• matching each of the five images of injury mechanism waveforms, utilizing the processor, to a first injury mechanism comprising sequestration, a second injury mechanism comprising venous obstruction, a third injury mechanism comprising vasospasm, a fourth injury mechanism comprising hyperemia, and a fifth injury mechanism comprising low blood flow, respectively;
• generating a patient image comprising a repeating pattern of a cranial scan of the patient that is indicative of blood flow patterns including at least one of a peak systolic velocity value, an end-diastolic velocity value, and a diachrotic notch value to the five images of injury mechanism waveforms;
• comparing the patient image to the five images of injury mechanism waveforms;
• and
• utilizing the processor of the transcranial sensing device to identify the neurologic-injury-mechanism of the patient as one of the injury mechanism based upon pattern matching having a closest similarity to one of the five images of injury mechanism waveforms based upon the matched neurologic injury mechanism.

A method of analyzing images using a transcranial sensing device to identify a neurologic-injury-mechanism, the method comprising:

• identifying five images of injury mechanism waveforms stored on a controller of the transcranial sensing device, the five images of injury mechanism waveforms illustrate a repeating pattern of at least one of a peak systolic velocity value, an end-diastolic velocity value, and a diachrotic notch value associated with a specific injury mechanism, wherein the one or more images of injury mechanism waveforms correlate to an age and size of a patient;
• matching each of the five images of injury mechanism waveforms, utilizing the processor, to a first injury mechanism comprising sequestration, a second injury mechanism comprising venous obstruction, a third injury mechanism comprising vasospasm, a fourth injury mechanism comprising hyperemia, and a fifth injury mechanism comprising low blood flow, respectively;
• generating a patient image comprising a repeating pattern of a cranial scan of the patient obtained from a sensing wand of the transcranial sensing device, the cranial scan is indicative of blood flow patterns including at least one of a peak systolic velocity value, an end-diastolic velocity value, and a diachrotic notch value to the one or more images of injury mechanism waveforms;
• comparing the patient image to the five images of injury mechanism waveforms;
• identifying the neurologic-injury-mechanism of the patient as one of the first, second, third, fourth and fifth injury mechanism based upon having a closest similarity to the five images of injury mechanism waveforms based upon the matched neurologic injury mechanism;
• utilizing a processor of the transcranial sensing device to identify a type of treatment based upon the identified neurologic-injury-mechanism of the patient as one of the first, second, third, fourth and fifth injury mechanism;
• and
• presenting the type of treatment on an output screen of the transcranial sensing device.