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DELMEP: a deep learning algorithm for automated annotation of motor evoked potential latencies

DELMEP: a deep learning algorithm for automated annotation of motor evoked potential latencies

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_dbf5ca0facff411aa7a813a0f33984cd

DELMEP: a deep learning algorithm for automated annotation of motor evoked potential latencies

About this item

Full title

DELMEP: a deep learning algorithm for automated annotation of motor evoked potential latencies

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2023-05, Vol.13 (1), p.8225-8225, Article 8225

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

The analysis of motor evoked potentials (MEPs) generated by transcranial magnetic stimulation (TMS) is crucial in research and clinical medical practice. MEPs are characterized by their latency and the treatment of a single patient may require the characterization of thousands of MEPs. Given the difficulty of developing reliable and accurate algori...

Alternative Titles

Full title

DELMEP: a deep learning algorithm for automated annotation of motor evoked potential latencies

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_dbf5ca0facff411aa7a813a0f33984cd

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_dbf5ca0facff411aa7a813a0f33984cd

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-023-34801-9

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