Adaptive weighted dual MAML: Proposing a novel method for the automated diagnosis of partial sleep deprivation

The results confirm the efficacy of our proposed approach as a robust solution for diagnosing partial sleep deprivation with enhanced accuracy and efficiency in an automated manner. This model provides a groundwork for addressing various sleep disorders through advanced EEG analysis techniques.

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Publication Details

Journal
PLoS ONE
Published
2025-06-13
DOI
https://doi.org/10.1371/journal.pone.0325288
Primary Topic
Sleep and Work-Related Fatigue
Type
article
Field-Weighted Citation Impact
0.00
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article

Adaptive weighted dual MAML: Proposing a novel method for the automated diagnosis of partial sleep deprivation

Toktam Khatibi, Golnaz Tajeddin, Soraya Khanmohmmadi, Elham Akhondzadeh et al.
PLoS ONE
Sleep and Work-Related Fatigue
article

Adaptive weighted dual MAML: Proposing a novel method for the automated diagnosis of partial sleep deprivation

Toktam Khatibi, Golnaz Tajeddin, Soraya Khanmohmmadi, Elham Akhondzadeh, Amir Shojaee
article en

Abstract

The results confirm the efficacy of our proposed approach as a robust solution for diagnosing partial sleep deprivation with enhanced accuracy and efficiency in an automated manner. This model provides a groundwork for addressing various sleep disorders through advanced EEG analysis techniques.

PLoS ONEVol. 20(6)
Tarbiat Modares University (IR)
Openalex Percentile: Top 86%
Sleep and Work-Related Fatigue
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