开源 Yet Another Spindle Algorithm 睡眠分期算法对青春期多导睡眠记录的金标准手动评估的性能评估。

Performance evaluation of the open-source Yet Another Spindle Algorithm sleep staging algorithm against gold standard manual evaluation of polysomnographic records in adolescence.

机构信息

Center for Health Sciences, SRI International, Menlo Park, California, USA; Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy.

Center for Health Sciences, SRI International, Menlo Park, California, USA; Columbia College, Columbia University, NYC, New York, USA.

出版信息

Sleep Health. 2023 Dec;9(6):910-924. doi: 10.1016/j.sleh.2023.07.019. Epub 2023 Sep 13.

DOI:10.1016/j.sleh.2023.07.019

PMID:37709595

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11161906/

Abstract

GOAL AND AIMS

To evaluate an automatic sleep scoring algorithm against manual polysomnography sleep scoring.

FOCUS METHOD/TECHNOLOGY: Yet Another Spindle Algorithm automatic sleep staging algorithm.

REFERENCE METHOD/TECHNOLOGY: Manual sleep scoring.

SAMPLE

327 nights (151 healthy adolescents), from the NCANDA study.

DESIGN

Participants underwent one-to-three overnight polysomnography recordings, one consisting of an event-related-potential paradigm.

CORE ANALYTICS

Epoch by Epoch and discrepancy analyses (Bland Altman plots) were conducted on the overall sample.

ADDITIONAL ANALYTICS AND EXPLORATORY ANALYSES

Epoch by Epoch and discrepancy analysis were repeated separately on standard polysomnography nights and event-related potential nights. Regression models were estimated on age, sex, scorer, and site of recording, separately on standard polysomnography nights and event-related potential nights.

CORE OUTCOMES

The Yet Another Spindle Algorithm sleep scoring algorithm's average sensitivity of 93.04% for Wake, 87.67% for N2, 84.46% for N3, 86.02% for rapid-eye-movement, and 40.39% for N1. Specificity was 96.75% for Wake, 97.31% for N1, 88.87% for N2, 97.99% for N3, and 97.70% for rapid-eye-movement. The Matthews Correlation Coefficient was highest in rapid-eye-movement sleep (0.85) while lowest in N1 (0.39). Cohen's Kappa mirrored Matthews Correlation Coefficient results. In Bland-Altman plots, the bias between Yet Another Spindle Algorithm and human scoring showed proportionality to the manual scoring measurement size.

IMPORTANT ADDITIONAL OUTCOMES

Yet Another Spindle Algorithm performance was reduced in event-related-potential/polysomnography nights for N3 and rapid-eye-movement. According to the Matthews Correlation Coefficient, the Yet Another Spindle Algorithm performance was affected by younger age, male sex, recording sites, and scorers.

CORE CONCLUSION

Results support the use of Yet Another Spindle Algorithm to score adolescents' polysomnography sleep records, possibly with classification outcomes supervised by an expert scorer.

摘要

目的

评估一种自动睡眠评分算法与手动多导睡眠图睡眠评分的对比。

重点方法/技术：另一种纺锤波算法自动睡眠分期算法。

参考方法/技术：手动睡眠评分。

样本

来自 NCANDA 研究的 327 个夜晚（151 名健康青少年）。

设计

参与者接受了一到三个整夜的多导睡眠图记录，其中一个包括事件相关电位范式。

核心分析

对整个样本进行逐epoch 和差异分析（Bland Altman 图）。

其他分析和探索性分析

分别在标准多导睡眠图夜和事件相关电位夜上重复逐 epoch 和差异分析。在标准多导睡眠图夜和事件相关电位夜上，分别针对年龄、性别、评分者和记录部位，建立回归模型。

核心结果

另一种纺锤波算法的睡眠评分算法的平均敏感度分别为觉醒 93.04%、N2 87.67%、N3 84.46%、快速眼动 86.02%和 N1 40.39%。特异性分别为觉醒 96.75%、N1 97.31%、N2 88.87%、N3 97.99%和快速眼动 97.70%。马修斯相关系数在快速眼动睡眠中最高（0.85），而在 N1 中最低（0.39）。科恩氏 Kappa 反映了马修斯相关系数的结果。在 Bland-Altman 图中，另一种纺锤波算法与人工评分之间的偏差与手动评分测量大小呈比例关系。