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Updated: Sep 24, 2025

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Sleep pattern in the dromedary camel: a behavioral and polysomnography study.

Khalid El Allali1, Younes Beniaich1, Hicham Farsi1

  • 1Comparative Anatomy Unit, Department of Biological and Pharmaceutical Veterinary Sciences, Hassan II Agronomy and Veterinary Medicine Institute, Rabat, Morocco.

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Summary

Camel sleep patterns are polyphasic and diurnal, with only 1.7 hours of sleep per night. Behavioral observation reliably predicts sleep stages, especially rapid eye movement (REM) sleep, when combined with polysomnography (PSG).

Keywords:
EEGEMGEOGNREM sleepREM sleepdromedary camelpolysomnographyruminationsleepsleep behaviorsvigilance states

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Area of Science:

  • Veterinary Science
  • Sleep Medicine
  • Animal Behavior

Background:

  • Understanding sleep patterns in camelids is crucial for their welfare and health management.
  • Previous research on camel sleep is limited, necessitating detailed investigation.

Purpose of the Study:

  • To investigate the nocturnal sleep patterns of camels using a combination of behavioral observation and polysomnography (PSG).
  • To correlate behavioral indicators with specific sleep stages identified by PSG.

Main Methods:

  • A noninvasive polysomnography (PSG) study was conducted over four consecutive nights on four camels.
  • Video recordings were utilized to monitor sleep behaviors and correlate them with different vigilance states.

Main Results:

  • Camels exhibit a polyphasic sleep pattern, sleeping approximately 1.7 hours per night, divided into REM (0.5 hours) and NREM (1.2 hours) sleep.
  • Vigilance states included wakefulness, drowsiness, REM sleep, NREM sleep, and rumination, with rapid transitions observed.
  • Behavioral postures, particularly sternal recumbency (SR) with the head down, strongly correlated with PSG-identified sleep stages, with 100% of REM sleep occurring in this posture.

Conclusions:

  • Camels are diurnal animals with a polyphasic nocturnal sleep pattern.
  • Behavioral observation, when considering drowsiness as part of sleep, can reliably predict sleep duration and stages, complementing PSG findings.