A Novel Approach to Automatic Seizure Detection Using Computer Vision and Independent Component Analysis.

The video-based seizure detection method developed herein is highly accurate. Moreover, it is intrinsically privacy-preserving, due to the employment of Optical Flow motion quantification. Additionally, due to our novel independence-based approach, this method is robust to different lighting conditions, partial occlusions of the patient, and other movements in the video frame, thereby setting the base for accurate and unobtrusive seizure detection.