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一个新的多模式灵活的头带系统用于睡眠监测

Zaihao Wang^1,2, Yuhao Ding¹, Hongyu Chen³

¹Center for Intelligent Medical Electronics, School of Information Science and Technology, Fudan University, Shanghai 200433, China.

Bioengineering (Basel, Switzerland)

|October 29, 2025

概括

本研究介绍了一种新的灵活头带用于睡眠监测,为传统的多睡眠学 (PSG) 提供了一种舒适而实用的替代方案. 该系统准确地跟踪睡眠模式,证明了其在家庭使用的潜力.

科学领域:

生物医学工程生物医学工程
神经科学是一个神经科学.
睡眠医学睡眠医学

背景情况:

多睡眠学 (PSG) 是睡眠障碍诊断的黄金标准,但对于长期的家庭监测是很麻烦的.
PSG的局限性包括复杂性,不舒服性和缺乏可移植性,阻碍了在非临床环境中广泛采用.

研究的目的:

开发和验证一种新的,灵活的头带系统,用于用于睡眠监测的多模式生理信号采集.
为了评估系统的性能与传统的PSG相比,在家庭环境中进行夜间睡眠跟踪.

主要方法:

设计了一个灵活的头带系统,使用干电极,六轴惯性测量单元 (IMU) 和温度传感器,支持八个EEG通道.
为了用户的方便,通过蓝牙实现了无线数据传输.
在两个晚上对13名受试者进行了系统性能评估,将数据与PSG进行比较,并使用HBSleep数据集与机器学习模型 (DeepSleepNet,TinySleepNet,AttnSleepNet) 进一步验证.

主要成果:

头带系统表现出低功耗,超低输入噪声和强大的信号保真度,适合在夜间跟踪睡眠.
使用HBSleep数据集的验证显示,睡眠阶段的整体准确性超过75%.
AttnSleepNet获得了最高的性能,这表明它与先进的机器学习框架兼容.

结论:

开发的柔性头带系统为在非临床环境中准确监测睡眠提供了可靠,舒适和实用的解决方案.
该系统的性能和与机器学习模型的兼容性凸显了其在改善睡眠监测和诊断的可访问性方面的潜力.

关键词:

头带系统系统的头带.多式联运是多式联运.睡眠监测睡眠监测睡眠监测睡眠阶段化是什么

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