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Jacqueline S King

Biographic Data

ID7960072
NAMEJacqueline S King
GIVEN NAMESJacqueline S
FAMILY NAMEKing
SIGNATUREKING J S
AFFILIATIONSEmmes (United States)
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2021
H-INDEX0
  • An Examination of the Feasibility of Detecting Cocaine Use Using Smartwatches

    Open Access•Emre Ertin, Nithin Sugavanam et al.•ARTICLE•Frontiers in Psychiatry•2021

    As digital technology increasingly informs clinical trials, novel ways to collect study data in the natural field setting have the potential to enhance the richness of research data. Cocaine use in clinical trials is usually collected via self-report and/or urine drug screen results, both of which have limitations. This article examines the feasibility of developing a wrist-worn device that can detect sufficient physiological data (i.e., heart ra…

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  • An Examination of the Feasibility of Detecting Cocaine Use Using Smartwatches

    Open Access•Emre Ertin, Nithin Sugavanam et al.•ARTICLE•Frontiers in Psychiatry•2021

    As digital technology increasingly informs clinical trials, novel ways to collect study data in the natural field setting have the potential to enhance the richness of research data. Cocaine use in clinical trials is usually collected via self-report and/or urine drug screen results, both of which have limitations. This article examines the feasibility of developing a wrist-worn device that can detect sufficient physiological data (i.e., heart ra…

Blood pressure (1 works) · Clinical trial (1 works) · Computer Science (1 works) · Embedded system (1 works) · Emotion and Mood Recognition (1 works) · Heart rate (1 works) · Heart rate variability (1 works) · Heart Rate Variability and Autonomic Control (1 works) · Internal Medicine (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