2023
DOI: 10.21203/rs.3.rs-3265602/v1
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Evaluating the Efficacy of EEG Features and Data Fusion in Migraine Diagnosis

Samaneh Alsadat Saeedinia,
Mohammad Reza Jahed-Motlagh,
Abbas Tafakhori

Abstract: This study investigates the potential of using EEG features for the diagnosis of migraine. The asymmetry, phase synchronization, and relative power spectra of EEG signals were analyzed in 10 migraineurs and 10 healthy subjects. The objective of the study is to ascertain the relative importance of distinct characteristics in migraine diagnosis and establish a more effective classifier model for a limited dataset application. Singular features displayed inadequate accuracy in migraine classification under no pho… Show more

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Cited by 1 publication
(1 citation statement)
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“…The DCNN-BF can be used to identify migraine auras in the early stages of the condition and yields results that are more precise and targeted. Additionally, it may categorize the migraine's intensity and recommend the best course of action [13]. Consequently, DCNN-BF significantly reduces the expenses related to long-term migraine treatments.…”
Section: IImentioning
confidence: 99%
“…The DCNN-BF can be used to identify migraine auras in the early stages of the condition and yields results that are more precise and targeted. Additionally, it may categorize the migraine's intensity and recommend the best course of action [13]. Consequently, DCNN-BF significantly reduces the expenses related to long-term migraine treatments.…”
Section: IImentioning
confidence: 99%