# A multi-step blind source separation approach for the attenuation of artifacts in mobile high-density electroencephalography data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-multi-step-blind-source-separation-approach-for-the-attenuation-of-artifacts/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mingqi Zhao,Gaia Bonassi,Roberto Guarnieri,Elisa Pelosin,Alice Nieuwboer,Laura Avanzino,Dante Mantini |
| Citations | 25 |
| DOI | 10.1088/1741-2552/ac4084 |
| Fields | Computer Science,Neuroscience |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://iopscience.iop.org/article/10.1088/1741-2552/ac4084/pdf |
| OpenAlex ID | https://openalex.org/W4200117805 |
| PMID | 34874319 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Gaia Bonassi](https://scholariq.org/researchers/gaia-bonassi/)

## Paper journal

- [Journal of Neural Engineering](https://scholariq.org/journals/journal-of-neural-engineering/)

## Paper primary topic

- [Blind Source Separation Techniques](https://scholariq.org/topics/blind-source-separation-techniques/)

## Paper topics

- [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/)
- [Neural dynamics and brain function](https://scholariq.org/topics/neural-dynamics-and-brain-function/)

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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.