METHOD AND SYSTEM FOR TRAINING SELF-SUPERVISED LEARNING BASED-SLEEP STAGE CLASSIFICATION MODEL USING SMALL NUMBER OF LABELS

원문 (중국어)

Disclosed are a method and system for training a self-supervised learning based-sleep stage classification model using a small number of labels. The sleep stage classification method performed by a computer system according to an embodiment may comprising the steps of: receiving polysomnography data to be inputted into a self-supervised learning based-sleep stage classification model; and classifying sleep stages from the polysomnography data by using the self-supervised learning based-sleep stage classification model, wherein the self-supervised learning based-sleep stage classification model is trained on patterns for sleep stage classification from new sleep data through transfer learning by fine-tuning weights on the basis of a representation learning model that is trained on representations from sleep signal data.