# Automatic Detection of Sleep Stages in Neonatal EEG Using the Structural Time Profiles

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/automatic-detection-of-sleep-stages-in-neonatal-eeg-using-the-structural-time/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Vladimı́r Krajča,Svojmil Petránek,K. Paul,M Matouŝek,Jitka Mohylová,Lenka Lhotská |
| Citations | 30 |
| DOI | 10.1109/iembs.2005.1615862 |
| Fields | Computer Science,Medicine,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2109079843 |
| PMID | 17281632 |
| Type | conference-paper |
| Year | 2005 |

## Paper authors

- [Svojmil Petránek](https://scholariq.org/researchers/svojmil-petranek/)

## Paper primary topic

- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)

## Paper topics

- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)
- [Neonatal and fetal brain pathology](https://scholariq.org/topics/neonatal-and-fetal-brain-pathology/)
- [Blind Source Separation Techniques](https://scholariq.org/topics/blind-source-separation-techniques/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.