基于闭环脑电图的调制音频，能更快入睡并加深睡眠。
Closed-loop Electroencephalogram-based modulated audio to fall and deepen sleep faster.
作者信息
Garcia-Molina Gary, Kalyan Boomika, Aquino Antonio
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:565-568. doi: 10.1109/EMBC44109.2020.9175689.
The transition from wake to sleep is a continuum that is well characterized by the electroencephalogram (EEG) power spectral ratio (ρ) between the beta (15 to 30 Hz) and theta (4 to 8 Hz) bands. From wake to sleep, the value of ρ gradually decreases.We have designed and implemented a single EEG-signal based closed-loop system that leverages ρ to modulate the volume of a pink-noise type of audio such that the volume becomes gradually softer as sleep initiates. A proof-of-concept trial was conducted with this system and it was found that using this concept resulted in a reduction of sleep latency and latency to deep sleep.
从清醒到睡眠的转变是一个连续过程，脑电图（EEG）中β（15至30赫兹）和θ（4至8赫兹）频段之间的功率谱比（ρ）能很好地对此进行表征。从清醒到睡眠，ρ值逐渐降低。我们设计并实现了一个基于单通道脑电信号的闭环系统，该系统利用ρ来调节粉红噪声类型音频的音量，以便在睡眠开始时音量逐渐变小。我们用这个系统进行了一次概念验证试验，结果发现使用这一概念可缩短入睡潜伏期和进入深度睡眠的潜伏期。
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