The invention relates to a method for detecting and classifying a motor seizure. The method comprises receiving video data of a patient; detecting a first anomaly in the video data as anomaly in movement of the patient; determining a video frame stack comprising the first anomaly; classifying the video frame stack using a pre-trained neural network to obtain a first classification; and determining a motor seizure type based on the first classification.
METHOD FOR DETECTING AND CLASSIFYING A MOTOR SEIZURE