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

Abstract 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. Give...

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Bibliographic Details
Main Authors: Diego Milardovich, Victor H. Souza, Ivan Zubarev, Sergei Tugin, Jaakko O. Nieminen, Claudia Bigoni, Friedhelm C. Hummel, Juuso T. Korhonen, Dogu B. Aydogan, Pantelis Lioumis, Nima Taherinejad, Tibor Grasser, Risto J. Ilmoniemi
Format: Article
Language:English
Published: Nature Portfolio 2023-05-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-34801-9

Internet

https://doi.org/10.1038/s41598-023-34801-9

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