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一种用于睡眠阶段检测的定制单通道入耳式脑电图传感器:居家睡眠研究的一种相互依存的解决方案。

A custom-built single-channel in-ear electroencephalography sensor for sleep phase detection: an interdependent solution for at-home sleep studies.

作者信息

Borges Daniel Filipe, Soares Joana Isabel, Silva Heloísa, Felgueiras João, Batista Carla, Ferreira Simão, Rocha Nuno Barbosa, Leal Alberto

机构信息

Center for Translational Health and Medical Biotechnology Research (TBIO) | Health Research and Innovation (RISE-Health), E2S, Polytechnic University of Porto, Porto, Portugal.

Department of Neurophysiology, E2S, Polytechnic University of Porto, Porto, Portugal.

出版信息

J Sleep Res. 2025 Jun;34(3):e14368. doi: 10.1111/jsr.14368. Epub 2024 Oct 3.

Abstract

Sleep is vital for health. It has regenerative and protective functions. Its disruption reduces the quality of life and increases susceptibility to disease. During sleep, there is a cyclicity of distinct phases that are studied for clinical purposes using polysomnography (PSG), a costly and technically demanding method that compromises the quality of natural sleep. The search for simpler devices for recording biological signals at home addresses some of these issues. We have reworked a single-channel in-ear electroencephalography (EEG) sensor grounded to a commercially available memory foam earplug with conductive tape. A total of 14 healthy volunteers underwent a full night of simultaneous PSG, in-ear EEG and actigraphy recordings. We analysed the performance of the methods in terms of sleep metrics and staging. In another group of 14 patients evaluated for sleep-related pathologies, PSG and in-ear EEG were recorded simultaneously, the latter in two different configurations (with and without a contralateral reference on the scalp). In both groups, the in-ear EEG sensor showed a strong correlation, agreement and reliability with the 'gold standard' of PSG and thus supported accurate sleep classification, which is not feasible with actigraphy. Single-channel in-ear EEG offers compelling prospects for simplifying sleep parameterisation in both healthy individuals and clinical patients and paves the way for reliable assessments in a broader range of clinical situations, namely by integrating Level 3 polysomnography devices. In addition, addressing the recognised overestimation of the apnea-hypopnea index, due to the lack of an EEG signal, and the sparse information on sleep metrics could prove fundamental for optimised clinical decision making.

摘要

睡眠对健康至关重要。它具有再生和保护功能。睡眠中断会降低生活质量并增加患病易感性。在睡眠期间,存在不同阶段的周期性变化,临床上通过多导睡眠图(PSG)对此进行研究,这是一种成本高昂且技术要求高的方法,会影响自然睡眠质量。寻求在家中记录生物信号的更简单设备解决了其中一些问题。我们重新设计了一种单通道入耳式脑电图(EEG)传感器,通过导电胶带将其接地到市售的记忆泡沫耳塞上。共有14名健康志愿者进行了一整晚的同步PSG、入耳式EEG和活动记录。我们从睡眠指标和分期方面分析了这些方法的性能。在另一组评估睡眠相关病症的14名患者中,同时记录了PSG和入耳式EEG,后者采用两种不同配置(头皮上有无对侧参考电极)。在两组中,入耳式EEG传感器与PSG的“金标准”显示出很强的相关性、一致性和可靠性,因此支持准确的睡眠分类,而这对于活动记录来说是不可行的。单通道入耳式EEG为简化健康个体和临床患者的睡眠参数化提供了令人信服的前景,并为更广泛临床情况下的可靠评估铺平了道路,即通过整合三级多导睡眠图设备。此外,解决由于缺乏EEG信号而导致的呼吸暂停低通气指数公认的高估问题以及关于睡眠指标的稀疏信息,对于优化临床决策可能至关重要。

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