Systems and methods for detecting stroke
A patient, physiological data technology, applied in the field of stroke detection system, can solve the problem of underutilization of treatment
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[0071] It can be difficult to determine whether a patient has had a stroke. Current diagnostic techniques often involve evaluating patients for visible symptoms, such as numbness or numbness of the face, arms, or legs and difficulty walking, speaking, or understanding. However, these techniques can lead to undiagnosed strokes, especially milder strokes that leave patients relatively active after a cursory assessment. Even for relatively mild strokes, it is important to treat the patient as soon as possible, because the treatment effect of stroke patients is very time-dependent. Therefore, improved methods for detecting stroke are needed.
[0072] Embodiments of the present technology enable detection of stroke by acquiring and analyzing sensor data of a patient under passive and / or active conditions, as described in more detail below. For example, an electroencephalogram (EEG) array may be used to sense and record the electrical activity of a patient's brain. The sensed EEG...
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