# Automatic identification of significant graphoelements in multichannel EEG recordings by adaptive segmentation and fuzzy clustering

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/automatic-identification-of-significant-graphoelements-in-multichannel-eeg/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Vladimı́r Krajča,Svojmil Petránek,Ivana Patáková,Alpo Värri |
| Citations | 88 |
| DOI | 10.1016/0020-7101(91)90028-d |
| Fields | Computer Science,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W1975082906 |
| PMID | 1889908 |
| Type | article |
| Year | 1991 |

## Paper authors

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

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

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