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A Fusion-Based Technique With Hybrid Swarm Algorithm and Deep Learning for Biosignal Classification

A Fusion-Based Technique With Hybrid Swarm Algorithm and Deep Learning for Biosignal Classification

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2672834921

A Fusion-Based Technique With Hybrid Swarm Algorithm and Deep Learning for Biosignal Classification

About this item

Full title

A Fusion-Based Technique With Hybrid Swarm Algorithm and Deep Learning for Biosignal Classification

Publisher

Lausanne: Frontiers Research Foundation

Journal title

Frontiers in human neuroscience, 2022-06, Vol.16, p.895761-895761

Language

English

Formats

Publication information

Publisher

Lausanne: Frontiers Research Foundation

More information

Scope and Contents

Contents

The vital data about the electrical activities of the brain are carried by the electroencephalography (EEG) signals. The recordings of the electrical activity of brain neurons in a rhythmic and spontaneous manner from the scalp surface are measured by EEG. One of the most important aspects in the field of neuroscience and neural engineering is EEG...

Alternative Titles

Full title

A Fusion-Based Technique With Hybrid Swarm Algorithm and Deep Learning for Biosignal Classification

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2672834921

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2672834921

Other Identifiers

ISSN

1662-5161

E-ISSN

1662-5161

DOI

10.3389/fnhum.2022.895761

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