Log in to save to my catalogue

Cepstral Analysis Based Artifact Detection, Recognition and Removal for Prefrontal EEG

Cepstral Analysis Based Artifact Detection, Recognition and Removal for Prefrontal EEG

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3039012020

Cepstral Analysis Based Artifact Detection, Recognition and Removal for Prefrontal EEG

About this item

Full title

Cepstral Analysis Based Artifact Detection, Recognition and Removal for Prefrontal EEG

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2024-04

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

This paper proposes to use cepstrum for artifact detection, recognition and removal in prefrontal EEG. This work focuses on the artifact caused by eye movement. A database containing artifact-free EEG and eye movement contaminated EEG from different subjects is established. A cepstral analysis-based feature extraction with support vector machine (S...

Alternative Titles

Full title

Cepstral Analysis Based Artifact Detection, Recognition and Removal for Prefrontal EEG

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3039012020

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3039012020

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.2404.08199

How to access this item