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Jaques Reifman

Biographic Data

ID7971753
NAMEJaques Reifman
GIVEN NAMESJaques
FAMILY NAMEReifman
SIGNATUREREIFMAN J
AFFILIATIONSUnited States Army Medical Research and Development Command
ORCID0000-0001-7292-2029
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2020
H-INDEX0
  • Identification of Veterans With PTSD Based on EEG Features Collected During Sleep

    Open Access•S Laxminarayan, Chao Wang et al.•ARTICLE•Frontiers in Psychiatry•2020

    Background: Previously, we identified sleep-electroencephalography (EEG) spectral power and synchrony features that differed significantly at a population-average level between subjects with and without posttraumatic stress disorder (PTSD). Here, we aimed to examine the extent to which a combination of such features could objectively identify individual subjects with PTSD. Methods: We analyzed EEG data recorded from 78 combat-exposed Veteran men …

No prominent works on this page.

  • Identification of Veterans With PTSD Based on EEG Features Collected During Sleep

    Open Access•S Laxminarayan, Chao Wang et al.•ARTICLE•Frontiers in Psychiatry•2020

    Background: Previously, we identified sleep-electroencephalography (EEG) spectral power and synchrony features that differed significantly at a population-average level between subjects with and without posttraumatic stress disorder (PTSD). Here, we aimed to examine the extent to which a combination of such features could objectively identify individual subjects with PTSD. Methods: We analyzed EEG data recorded from 78 combat-exposed Veteran men …

Artificial Intelligence (1 works) · Audiology (1 works) · Computer Science (1 works) · Discriminative model (1 works) · EEG and Brain-Computer Interfaces (1 works) · Electroencephalography (1 works) · Feature selection (1 works) · Internal Medicine (1 works) · Logistic regression (1 works) · Medicine (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae