IEEE Trans Neural Syst Rehabil Eng. 2022;30:1494-1503. doi: 10.1109/TNSRE.2022.3178476. Epub 2022 Jun 13.
Insomnia is a common public health problem and an open biomedical research topic. Insomnia results in various health problems, including memory decline, decreases concentration and weakens problem-solving ability. The insufficient sleep also leads to skin ageing, heart disease, high blood pressure, arrhythmia and stroke. While it remains as a global health concern, sleep quality improvement using modern technologies, such as machine learning, classification technologies, virtual reality (VR), becomes an open and hot research problem. These modern technologies offer new curing solutions under certain conditions. In this paper, we present a sleeping-aid system with a single-channel electroencephalogram (EEG) sleep stage classification algorithm to improve the sleep quality. The sleeping-aid system promotes machine learning integrated VR and multimedia technology for sleep improvement. Ninety participants were invited to test on three different systems with 3D VR, 2D video, and music only. An adequate stimulus of audio-vision can be a complement of the drug treatment. The experimental results showed that the proposed method demonstrated superior performance over existing methods.
失眠是一个常见的公共健康问题，也是一个开放的生物医学研究课题。失眠会导致各种健康问题，包括记忆力下降、注意力不集中和解决问题的能力减弱。睡眠不足还会导致皮肤老化、心脏病、高血压、心律失常和中风。虽然这仍然是一个全球性的健康问题，但利用机器学习、分类技术、虚拟现实 (VR) 等现代技术来提高睡眠质量成为一个开放和热门的研究问题。这些现代技术在某些情况下提供了新的治疗方案。在本文中，我们提出了一种基于单通道脑电图 (EEG) 睡眠分期分类算法的助眠系统，以提高睡眠质量。该助眠系统促进了机器学习与虚拟现实和多媒体技术的融合，以改善睡眠。我们邀请了 90 名参与者在三个不同的系统上进行测试，分别是 3D VR、2D 视频和只有音乐。视听的适当刺激可以作为药物治疗的补充。实验结果表明，所提出的方法优于现有的方法。
