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“我爱你”:从梦境中检测到的第一句话。

'I love you': the first phrase detected from dreams.

作者信息

Raduga Michael

机构信息

REMspace, Phase Research Center - Novorossiysk - Krasnodar Krai - Russia.

出版信息

Sleep Sci. 2022 Apr-Jun;15(2):149-157. doi: 10.5935/1984-0063.20220035.

Abstract

OBJECTIVE

Many people have dreams nightly and some maintain consciousness during dreams. Such dreams are referred to as lucid dreams (LD). During dreams, our speech correlates with facial muscle activity, which is hard to decode, but LD could solve this problem. The primary hypothesis of this study was that the facial muscles electric activity during LD corresponds to specific sounds. Understanding this connection could help decode dream speech in the future.

MATERIAL AND METHODS

Under laboratory conditions, four LD practitioners were asked to say "", a phrase with a distinctive electromyographic (EMG) signature. They did this before falling asleep and then again after becoming conscious during a dream. Their facial and neck EMG was recorded in four areas.

RESULTS

All four volunteers accomplished the goal at least once. The patterns associated with the "" phrase were observed in most cases, both during wakefulness and LD. Specifically, the "" triggered distinctive phasic activity in the area most of the time, while "" did the same in the .

DISCUSSION

This study highlights the possibility of detecting only specific and highly EMG distinctive phrases from dreams because vocalization also involves a tong and vocal apparatus. The most interesting consequence of the present results is that they indicate the possibility of creating an artificial EMG language that could be instantly decoded in reality and used during LD.

摘要

目的

许多人每晚都会做梦,有些人在梦中保持意识清醒。这种梦被称为清醒梦(LD)。在做梦期间,我们的言语与面部肌肉活动相关,而面部肌肉活动难以解码,但清醒梦可以解决这个问题。本研究的主要假设是清醒梦期间面部肌肉的电活动与特定声音相对应。了解这种联系可能有助于未来解码梦话。

材料与方法

在实验室条件下,四名清醒梦练习者被要求说出“”,这是一个具有独特肌电图(EMG)特征的短语。他们在入睡之前以及在梦中清醒后再次说出该短语。在四个区域记录了他们面部和颈部的肌电图。

结果

所有四名志愿者至少完成目标一次。在大多数情况下,无论是在清醒状态还是清醒梦期间,都观察到了与“”短语相关的模式。具体而言,“”大多数时候在区域引发独特的相位活动,而“”在区域引发同样的活动。

讨论

这项研究突出了从梦中检测仅特定且具有高度肌电图特征的短语的可能性,因为发声还涉及舌头和发声器官。本研究结果最有趣的结果是,它们表明有可能创建一种人工肌电图语言,这种语言在现实中可以立即被解码并在清醒梦期间使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df1/9210561/de8274991a38/ssci-15-02-0149-g01.jpg

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