An open-source, high-performance tool for automated sleep staging.
An open-source, high-performance tool for automated sleep staging.
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DOI：
10.7554/elife.70092
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发表时间：
2021-10-14
期刊：
影响因子：
7.7
通讯作者：
Walker MP
中科院分区：
文献类型：
--
作者：
Vallat R;Walker MP
近年来，人类睡眠的临床和社会测量呈指数级增长。然而，与其他已经高度自动化的医学分析领域不同，基础和临床睡眠研究仍然依赖于人类视觉评分。这种基于人类的评估是耗时的，乏味的，并且可能容易产生主观偏见。在这里，我们描述了一种新的算法，该算法在世界各地不同人群的+30，000小时多导睡眠记录上进行了训练和验证。该工具提供了高的睡眠分期准确性，与人类评分准确性和评分者间一致性相匹配，无论人口类型如何。该软件被设计为特别易于使用，计算要求低，开源和免费。我们的希望是，该软件有助于广泛采用行业标准的自动睡眠分期软件包。
The clinical and societal measurement of human sleep has increased exponentially in recent years. However, unlike other fields of medical analysis that have become highly automated, basic and clinical sleep research still relies on human visual scoring. Such human-based evaluations are time-consuming, tedious, and can be prone to subjective bias. Here, we describe a novel algorithm trained and validated on +30,000 hr of polysomnographic sleep recordings across heterogeneous populations around the world. This tool offers high sleep-staging accuracy that matches human scoring accuracy and interscorer agreement no matter the population kind. The software is designed to be especially easy to use, computationally low-demanding, open source, and free. Our hope is that this software facilitates the broad adoption of an industry-standard automated sleep staging software package.