Identification of basic patterns for an automatic classification of sleep stages in infants
- Resource Type
- Authors
- Claudio A. Perez; Patricio Peirano; Carsten Holzmann; A. Ehijo; F Pizarro
- Source
- Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
- Subject
- Sleep Stages
Muscle tone
medicine.medical_specialty
Identification (information)
medicine.anatomical_structure
medicine.diagnostic_test
medicine
Sleep spindle
Electroencephalography
Audiology
Psychology
Chin
Rapid Eye Movements
- Language
This work proposes methods to detect sleep spindles in the electroencephalographic activity, rapid eye movements (REM) in the electrooculographic activity, and chin muscle tone in the electromyographic activity in digital polysomnographic recordings. This is a first step in the design of an Expert System for automatic classification of sleep stages in normal infants.