可穿戴设备数据机器学习中从睡眠阶段分类到导出睡眠参数的误差传播

IF 1.5 Q4 CLINICAL NEUROLOGY

Current Sleep Medicine Reports Pub Date : 2023-06-30 DOI:10.1007/s40675-023-00253-w

Emil Hardarson, A. Islind, E. Arnardóttir, M. Óskarsdóttir

引用次数: 1

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Error Propagation from Sleep Stage Classification to Derived Sleep Parameters in Machine Learning on Data from Wearables

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来源期刊

Current Sleep Medicine Reports Medicine-Pulmonary and Respiratory Medicine

CiteScore

2.50

自引率

5.60%

发文量

期刊介绍： Current Sleep Medicine Reports aims to review the most important, recently published articles in the field of sleep medicine. By providing clear, insightful, balanced contributions by international experts, the journal intends to serve all those involved in the care and prevention of sleep conditions. We accomplish this aim by appointing international authorities to serve as Section Editors in key subject areas such as insomnia, narcolepsy, sleep apnea, circadian rhythm disorders, and parasomnias. Section Editors, in turn, select topics for which leading experts contribute comprehensive review articles that emphasize new developments and recently published papers of major importance, highlighted by annotated reference lists. An international Editorial Board reviews the annual table of contents, suggests articles of special interest to their country/region, and ensures that topics are current and include emerging research. Commentaries from well-known figures in the field are also occasionally provided.