# Application of Artificial Neural Networks for Analyses of EEG Record with Semi-Automated Etalons Extraction: A Pilot Study

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/application-of-artificial-neural-networks-for-analyses-of-eeg-record-with-semi/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hana Schaabová,Vladimı́r Krajča,Václava Sedlmajerová,Olena Bukhtaieva,Lenka Lhotská,Jitka Mohylová,Svojmil Petránek |
| Citations | 5 |
| DOI | 10.1007/978-3-319-44188-7_7 |
| Fields | Computer Science,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2513052988 |
| Type | conference-paper |
| Year | 2016 |

## Paper authors

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

## Paper journal

- [Communications in computer and information science](https://scholariq.org/journals/communications-in-computer-and-information-science/)

## Paper primary topic

- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)

## Paper topics

- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)
- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)
- [Blind Source Separation Techniques](https://scholariq.org/topics/blind-source-separation-techniques/)

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