Abstract: Embodiments of a system and method for detecting a leading stroke risk indicator using low-cost, non-contact visual computing methods are generally described herein. In some embodiments, a video camera is arranged to capture a video of a face of a subject to be evaluated for having a stroke risk indicator. A memory is provided for storing data. A processor is coupled to the memory and is arranged to analyze processed image data associated with the video of the face of the subject captured by the video camera. The processor is further arranged to determine whether the processed image data exhibits a leading indicator for carotid artery stenosis.

Abstract: Embodiments of a system and method for detecting a leading stroke risk indicator using low-cost, non-contact visual computing methods are generally described herein. In some embodiments, a video camera is arranged to capture a video of a face of a subject to be evaluated for having a stroke risk indicator. A memory is provided for storing data. A processor is coupled to the memory and is arranged to analyze processed image data associated with the video of the face of the subject captured by the video camera. The processor is further arranged to determine whether the processed image data exhibits a leading indicator for carotid artery stenosis.