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Automated identification and localization of interictal epileptiform discharges: leveraging morphological analysis, five-criterion fulfillment, and machine learning approach

Crossref DOI link: https://doi.org/10.1007/s11227-024-06558-z

Published Online: 2024-10-10

Published Print: 2025-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Trigui, Omar

Daoud, Sawsan

Ghorbel, Mohamed

Dammak, Mariem

Mhiri, Chokri

Ben Hamida, Ahmed
Funding

Funding for this research was provided by:

King Khalid University (RGP2/166/44)
License Information

Text and Data Mining valid from 2024-10-10

Version of Record valid from 2024-10-10
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Article History

Accepted: 5 September 2024

First Online: 10 October 2024

Declarations

:

: The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Ahmed Ben Hamida reports that financial support was provided by King Khaled Universiy.

: This article does not contain any studies with human participants or animals performed by any of the authors.

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