Sleep paralysis (SP) is often accompanied by frightening hallucinations and negative emotions. Although one in five sufferers experiences joyful feelings, 10% report clinically significant pain, and 7% claim that it interferes with other aspects of their life. These are the statistics revealed by Muhammad Shoaib Akhtar and Tao Feng, researchers from China.
The authors decided to study sleep paralysis with the help of modern computer technologies. They used various sensors to record the sleeping person’s posture, the very fact of their presence (whether they are still in bed or have gotten up), as well as a physical force detector that measures pressure, squeezing, and weight. Next, the researchers collected the data and analyzed them using a program.
Interestingly, the scientists note the similarity of SP with another phase state—false awakening. In both states, a person mistakenly believes that they are awake, although in fact they are sleeping. Like SP, false awakenings are very realistic and can cause anxiety for some people.
Summarizing the results, the researchers note that sleep paralysis correlates with poor sleep quality in general. At the same time, the authors claim that, using various machine learning approaches, they can predict SP with an accuracy of up to 91.9%.
If you could predict your sleep paralysis, how would you use this information?
The article was published in September 2022 in the journal EAI Endorsed Transactions on Internet of Things.
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