Light Sleep Detection based on Surface Electromyography Signals for Nap Monitoring

Q4 Biochemistry, Genetics and Molecular Biology
Wachiraporn Aiamklin, Y. Jewajinda, Yunyong Punsawad
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引用次数: 2

Abstract

This paper proposes the development of automatic sleep stage detection by using physiological signals. We aim to develop an application to assist drivers after drowsiness or fatigue detection by a commercial driver vigilance system. The proposed method used a low-cost surface electromyography (EMG) device for sleep stage detection. We investigate skeletal muscle location and EMG features from sleep stage 2 to provide an EMG-based nap monitoring system. The results showed that using only one channel of a bipolar EMG signal from an upper trapezius muscle with median power frequency can achieve 84% accuracy. We implement a MyoWare muscle sensor into the proposed nap monitoring device. The results showed that the proposed system is feasible for detecting sleep stages and waking up the napper. A combination of EMG and electroencephalogram (EEG) signals might be yield a high system performance for nap monitoring and alarm system. We will prototype a portable device to connect the application to a smartphone and test with a target group, such as truck drivers and physicians.
基于表面肌电信号的轻度睡眠监测
本文提出了一种基于生理信号的睡眠阶段自动检测方法。我们的目标是开发一个应用程序,以帮助司机昏昏欲睡或疲劳后,由商业司机警惕系统检测。该方法使用低成本的表面肌电图(EMG)设备进行睡眠阶段检测。我们研究了睡眠第二阶段的骨骼肌位置和肌电图特征,以提供一个基于肌电图的午睡监测系统。结果表明,仅使用中位工频上斜方肌双极性肌电图信号的一个通道,准确率可达84%。我们将MyoWare肌肉传感器实现到所提出的午睡监测设备中。实验结果表明,该系统在检测睡眠阶段和唤醒午睡者方面是可行的。肌电和脑电图信号的结合可为午睡监测和报警系统提供较高的系统性能。我们将制作一个便携式设备的原型,将应用程序连接到智能手机上,并在目标群体中进行测试,比如卡车司机和医生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Biology and Biomedical Engineering
International Journal of Biology and Biomedical Engineering Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
自引率
0.00%
发文量
42
期刊介绍: Topics: Molecular Dynamics, Biochemistry, Biophysics, Quantum Chemistry, Molecular Biology, Cell Biology, Immunology, Neurophysiology, Genetics, Population Dynamics, Dynamics of Diseases, Bioecology, Epidemiology, Social Dynamics, PhotoBiology, PhotoChemistry, Plant Biology, Microbiology, Immunology, Bioinformatics, Signal Transduction, Environmental Systems, Psychological and Cognitive Systems, Pattern Formation, Evolution, Game Theory and Adaptive Dynamics, Bioengineering, Biotechnolgies, Medical Imaging, Medical Signal Processing, Feedback Control in Biology and Chemistry, Fluid Mechanics and Applications in Biomedicine, Space Medicine and Biology, Nuclear Biology and Medicine.
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