4.6 Article

Sleep Pattern Analysis in Unconstrained and Unconscious State

Journal

SENSORS
Volume 22, Issue 23, Pages -

Publisher

MDPI
DOI: 10.3390/s22239296

Keywords

sleep pattern; sleep posture; NREM; REM; unconscious; unrestraint

Funding

  1. Incheon National University [2021-0085]
  2. Basic Research Program through the National Research Foundation of Korea (NRF) - Ministry of Education [202102600001]

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Sleep plays a significant role in an individual's life and is an indicator of health. Both the duration and quality of sleep are important for maintaining good health. Sleep patterns are influenced by genetic factors and it is necessary to analyze if individual sleep patterns ensure sufficient sleep.
Sleep accounts for one-third of an individual's life and is a measure of health. Both sleep time and quality are essential, and a person requires sound sleep to stay healthy. Generally, sleep patterns are influenced by genetic factors and differ among people. Therefore, analyzing whether individual sleep patterns guarantee sufficient sleep is necessary. Here, we aimed to acquire information regarding the sleep status of individuals in an unconstrained and unconscious state to consequently classify the sleep state. Accordingly, we collected data associated with the sleep status of individuals, such as frequency of tosses and turns, snoring, and body temperature, as well as environmental data, such as room temperature, humidity, illuminance, carbon dioxide concentration, and ambient noise. The sleep state was classified into two stages: nonrapid eye movement and rapid eye movement sleep, rather than the general four stages. Furthermore, to verify the validity of the sleep state classifications, we compared them with heart rate.

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