Mathunjwa Bhekumuzi M, Kor Randy Yan Jie, Ngarnkuekool Wanida, Hsu Yeh-Liang
Gerontechnology Research Center, Yuan Ze University, Taoyuan 320, Taiwan.
Mechanical Engineering Department, Yuan Ze University, Taoyuan 320, Taiwan.
Sensors (Basel). 2025 Mar 12;25(6):1771. doi: 10.3390/s25061771.
The home is an ideal setting for long-term sleep monitoring. This review explores a range of home-based sleep monitoring technologies, including smartphone apps, smartwatches, and smart mattresses, to assess their accuracy, usability, limitations, and how well they integrate with existing healthcare systems. This review evaluates 21 smartphone apps, 16 smartwatches, and nine smart mattresses through systematic data collection from academic literature, manufacturer specifications, and independent studies. Devices were assessed based on sleep-tracking capabilities, physiological data collection, movement detection, environmental sensing, AI-driven analytics, and healthcare integration potential. Wearables provide the best balance of accuracy, affordability, and usability, making them the most suitable for general users and athletes. Smartphone apps are cost-effective but offer lower accuracy, making them more appropriate for casual sleep tracking rather than clinical applications. Smart mattresses, while providing passive and comfortable sleep tracking, are costlier and have limited clinical validation. This review offers essential insights for selecting the most appropriate home sleep monitoring technology. Future developments should focus on multi-sensor fusion, AI transparency, energy efficiency, and improved clinical validation to enhance reliability and healthcare applicability. As these technologies evolve, home sleep monitoring has the potential to bridge the gap between consumer-grade tracking and clinical diagnostics, making personalized sleep health insights more accessible and actionable.
家庭是长期睡眠监测的理想场所。本综述探讨了一系列基于家庭的睡眠监测技术，包括智能手机应用程序、智能手表和智能床垫，以评估它们的准确性、可用性、局限性，以及它们与现有医疗系统的整合程度。本综述通过从学术文献、制造商规格和独立研究中系统收集数据，对21款智能手机应用程序、16款智能手表和9款智能床垫进行了评估。根据睡眠跟踪功能、生理数据收集、运动检测、环境感知、人工智能驱动的分析以及医疗保健整合潜力对设备进行了评估。可穿戴设备在准确性、可承受性和可用性之间提供了最佳平衡，使其最适合普通用户和运动员。智能手机应用程序具有成本效益，但准确性较低，使其更适合于日常睡眠跟踪而非临床应用。智能床垫虽然能提供被动且舒适的睡眠跟踪，但成本更高且临床验证有限。本综述为选择最合适的家庭睡眠监测技术提供了重要见解。未来的发展应侧重于多传感器融合、人工智能透明度、能源效率以及改进临床验证，以提高可靠性和医疗保健适用性。随着这些技术的不断发展，家庭睡眠监测有潜力弥合消费级跟踪与临床诊断之间的差距，使个性化的睡眠健康见解更易于获取和采取行动。
