索马斯 (SOMAS) 是一个开源软件,用于分析睡眠期间的肌肉活动
Matteo Cesari1, Raffaele Ferri2, Birgit Högl1
1Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Sleep medicine
|February 10, 2026
概括
一个新的开源软件,SOMAS,可靠地分析睡眠肌肉和运动. 它准确地区分了像iRBD和RLS这样的运动障碍,提高了研究可重现性.
科学领域:
- 睡眠医学 睡眠医学
- 神经生理学 神经生理学
- 生物医学工程 生物医学工程
背景情况:
- 现有的睡眠肌肉活动分析算法缺乏对肌肉和运动的开源选项.
- 这种限制阻碍了睡眠相关运动障碍的可复制性和协作研究.
研究的目的:
- 开发SOMAS (睡眠开源肌肉活动分析系统),这是一个开源软件,解决了分析睡眠肌肉和运动的差距.
- 为了验证SOMAS的性能与既定方法相比,以及其区分特定睡眠障碍的能力.
主要方法:
- 索马斯处理欧洲数据格式+ (EDF+) 文件,计算心指数,规范化肌电图 (DNE) 的分布和腿部运动指数.
- 分析了来自孤立REM睡眠行为障碍 (iRBD),不安腿综合征 (RLS),睡眠呼吸障碍和对照患者的记录.
- 来自SOMAS的指数与Hypnolab (非开源软件) 进行了比较,并用于诊断差异化.
主要成果:
- 索马斯衍生性心指数和腿部运动指数显示与Hypnolab结果有很强的相关性 (斯皮尔曼>0.97).
- 的DNE和atonia指数有效地将iRBD患者与其他患者区分开来 (AUC 0.89-1.00).
- 定期腿部运动和周期性指数将RLS患者与对照患者区分开来 (AUC为0.71-0.75).
结论:
- 索马斯提供了一种可靠的开源解决方案,用于从EDF+文件中量化睡眠肌肉度和运动.
- 该软件展示了改善睡眠相关运动障碍研究可重复性和协作的潜力.
- 索马斯有助于区分关键的睡眠相关运动障碍,为临床和研究提供实用性.
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