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Preprocessing and feature extraction co-optimization for low-power EEG-based neurodegenerative disease detection: a benchmark on STM32 embedded platforms

Crossref DOI link: https://doi.org/10.1186/s12883-026-05315-4

Published Online: 2026-09-01

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

Authors

Fatimazahra, Jakjoud

Abdelati, Reha

Widad, Jakjoud
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Text and Data Mining valid from 2026-09-01

Accepted Manuscript valid from 2026-09-01
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Article History

Received: 15 May 2026

Accepted: 18 August 2026

First Online: 1 September 2026

Declarations

Ethics approval and consent to participate: This study is based exclusively on publicly available, anonymized EEG datasets obtained from the OpenNeuro repository (ds004504 and ds006036). The original data collection was conducted under the institutional ethical framework of the 2nd Department of Neurology, AHEPA University Hospital of Thessaloniki, Greece. No new human subjects were recruited; no additional ethical approval was required.

Consent for publication: Not applicable.

Competing interests: The authors declare no competing interests.

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