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Multivariate analysis of full-term neonatal polysomnographic data
V. Gerla, K. Paul, L. Lhotská, V. Krajča
IEEE transactions on information technology in biomedicine.
2009 ;
13 (1) :
104-110.
Language English Country United States
Persistent link
https://www.medvik.cz/link/bmc11009861
Grant support
1A8600
MZ0
CEP Register
Digital library NLK
Full text - Article
Source
- MeSH
- Algorithms MeSH
- Principal Component Analysis MeSH
- Respiration MeSH
- Electroencephalography MeSH
- Electromyography MeSH
- Electrooculography MeSH
- Fourier Analysis MeSH
- Humans MeSH
- Markov Chains MeSH
- Brain growth & development MeSH
- Infant, Newborn MeSH
- Signal Processing, Computer-Assisted MeSH
- Eye Movements MeSH
- Polysomnography MeSH
- Term Birth physiology MeSH
- Reproducibility of Results MeSH
- Chi-Square Distribution MeSH
- Heart Rate MeSH
- Sleep Stages physiology MeSH
- Artificial Intelligence MeSH
- Check Tag
- Humans MeSH
- Infant, Newborn MeSH
INTRODUCTION: Polysomnography (PSG) is one of the most important noninvasive methods for studying maturation of the child brain. Sleep in infants is significantly different from sleep in adults. This paper addresses the problem of computer analysis of neonatal polygraphic signals.
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