论文标题
基于精神状态的个性化睡眠诱导系统的开发
Development of Personalized Sleep Induction System based on Mental States
论文作者
论文摘要
睡眠是防止认知，运动和情感表现以及各种疾病的降低的基本行为。但是，当人们想睡觉时入睡并不容易。有各种各样的睡眠触及因素，例如Covid-19的情况，外面的噪音和夜晚的光线。我们旨在使用脑电图和听觉刺激发展基于精神状态的个性化睡眠诱导系统。我们的系统使用脑电图和匹兹堡睡眠质量指数和布鲁内尔情绪量表的结果来分析用户的精神状态。根据精神状态，该系统在五个听觉刺激中播放睡眠感应声音：白噪声，重复的哔哔声，多雨的声音，双耳节拍和虚假声音。最后，诱导睡眠系统将94.7％的参与者的睡眠阶段归类为94.7％，如果参与者表现出非比型眼动睡眠，则停止了听觉刺激。我们的系统使20名参与者在20名参与者中入睡。
Sleep is an essential behavior to prevent the decrement of cognitive, motor, and emotional performance and various diseases. However, it is not easy to fall asleep when people want to sleep. There are various sleep-disturbing factors such as the COVID-19 situation, noise from outside, and light during the night. We aim to develop a personalized sleep induction system based on mental states using electroencephalogram and auditory stimulation. Our system analyzes users' mental states using an electroencephalogram and results of the Pittsburgh sleep quality index and Brunel mood scale. According to mental states, the system plays sleep induction sound among five auditory stimulation: white noise, repetitive beep sounds, rainy sound, binaural beat, and sham sound. Finally, the sleep-inducing system classified the sleep stage of participants with 94.7 percent and stopped auditory stimulation if participants showed non-rapid eye movement sleep. Our system makes 18 participants fall asleep among 20 participants.
