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使用智能可穿戴设备进行睡眠特征分析:呼吁标准化及达成共识性建议。

Sleep characterization with smart wearable devices: a call for standardization and consensus recommendations.

作者信息

Baumert Mathias, Cowie Martin R, Redline Susan, Mehra Reena, Arzt Michael, Pépin Jean-Louis, Linz Dominik

机构信息

School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, Australia.

School of Cardiovascular Medicine, Faculty of Medicine & Lifesciences, King's College London, London, UK.

出版信息

Sleep. 2022 Dec 12;45(12). doi: 10.1093/sleep/zsac183.

Abstract

The general public increasingly adopts smart wearable devices to quantify sleep characteristics and dedicated devices for sleep assessment. The rapid evolution of technology has outpaced the ability to implement validation approaches and demonstrate relevant clinical applicability. There are untapped opportunities to validate and refine consumer devices in partnership with scientists in academic institutions, patients, and the private sector to allow effective integration into clinical management pathways and facilitate trust in adoption once reliability and validity have been demonstrated. We call for the formation of a working group involving stakeholders from academia, clinical care and industry to develop clear professional recommendations to facilitate appropriate and optimized clinical utilization of such technologies.

摘要

普通大众越来越多地采用智能可穿戴设备来量化睡眠特征,并使用专门的设备进行睡眠评估。技术的快速发展已经超过了实施验证方法和证明相关临床适用性的能力。与学术机构的科学家、患者和私营部门合作,在验证和改进消费设备方面存在尚未开发的机会,以便在证明可靠性和有效性后,能够有效地整合到临床管理路径中,并促进对采用这些设备的信任。我们呼吁成立一个由学术界、临床护理和行业的利益相关者组成的工作组,制定明确的专业建议,以促进此类技术的适当和优化临床应用。

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