The Human Sleep Project

The Human Sleep Project (HSP) sleep physiology dataset is a growing collection of clinical polysomnography (PSG) recordings. Beginning with PSG recordings from from ~15K patients evaluated at the Massachusetts General Hospital, the HSP will grow over the coming years to include data from >200K patients, as well as people evaluated outside of the clinical setting. This data is being used to develop CAISR (Complete AI Sleep Report), a collection of deep neural networks, rule-based algorithms, and signal processing approaches designed to provide better-than-human detection of conventional PSG...

人类睡眠项目（Human Sleep Project, HSP）睡眠生理数据集是一套持续扩充的临床多导睡眠图（polysomnography, PSG）录音集合。该数据集最初收录了麻省总医院约1.5万名受检患者的多导睡眠图录音，未来数年内将逐步扩展至覆盖超过20万名患者，并纳入临床场景外的受测者数据。本数据集正被用于开发全AI睡眠报告（Complete AI Sleep Report, CAISR）——这是一套集成深度神经网络、基于规则的算法与信号处理方法的技术体系，旨在实现优于人类的常规多导睡眠图检测……

搜集汇总

背景与挑战

背景概述

The Human Sleep Project数据集是一个不断增长的临床多导睡眠图（PSG）记录集合，目前包含约1.5万名患者的记录，未来计划扩展到20万名患者。该数据集旨在支持研究睡眠期间大脑活动的'隐藏'信息，用于直接测量大脑健康，包括常见神经系统疾病的风险指标。