自动化与信息工程2024，Vol.45Issue(4)：24-29,35,7.DOI:10.3969/j.issn.1674-2605.2024.04.004
一种CLIP自监督学习的多模态睡眠分期方法
A Multi Modal Sleep Staging Method of CLIP Self Supervised Learning
摘要
Abstract
Sleep staging is of great significance for assessing sleep quality and diagnosing sleep disorders.A multi modal sleep staging method of CLIP self supervised learning is proposed to address the problems of limited labeled data and difficulty in data annotation in deep learning based sleep staging.By learning the feature representation of unlabeled data,the problem of poor model training performance caused by limited labeled data has been solved.Comparative experiments will be conducted between CLIP based multi modal self supervised learning method and supervised learning,single modal self supervised learning methods SimCLR and TS-TCC under different labeled data.The experimental results indicate that the multi modal self supervised learning method based on CLIP can effectively improve the performance of sleep staging.关键词
多模态自监督学习/睡眠分期/CLIP/单模态自监督学习/有监督学习Key words
multi modal self supervised learning/sleep staging/CLIP/single modal self supervised learning/supervised learning分类
信息技术与安全科学引用本文复制引用
陈庆端..一种CLIP自监督学习的多模态睡眠分期方法[J].自动化与信息工程,2024,45(4):24-29,35,7.基金项目
国家自然科学基金项目(62073086) （62073086）
