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An Examination of the Feasibility of Detecting Cocaine Use Using Smartwatches

Dados Bibliográficos

ID15519157
AutoresEmre Ertin (0000-0001-7815-0728, The Ohio State University, autor correspondente), Nithin Sugavanam (0000-0001-9910-2258, The Ohio State University), August F Holtyn (0000-0002-6689-9296, Johns Hopkins University), Kenzie L Preston (0000-0003-0603-2479, National Institute on Drug Abuse), Jeremiah W Bertz (National Institutes of Health), Lisa A Marsch (0000-0001-6429-0965, Dartmouth College), Bethany McLeman (0000-0001-5382-7114, Dartmouth College, autor correspondente), Dikla Shmueli‐Blumberg (0000-0002-0788-5767, Emmes (United States)), Dikla Shmueli-Blumberg, Julia A Collins (Emmes (United States)), Julia Collins, Jacqueline S King (Emmes (United States)), Jennifer McCormack (Emmes (United States)), Udi E Ghitza (0000-0001-9964-8066, National Institute on Drug Abuse)
Ano2021
Volume12
Páginas674691-674691
Data de publicação2021-06-24
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoFrontiers in Psychiatry (JOURNAL)
Identificadores do periódicoISSN: 1664-0640 • E-ISSN: 1664-0640
EditoraFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2021.674691
PMID34248712
OpenAlexW3173699643
IdiomaEN
Referências citadas21

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 rate and heart rate variability) to detect cocaine use. This study aimed to develop a wrist-worn device that can be used in the natural field setting among people who use cocaine to collect reliable data (determined by data yield, device wearability, and data quality) that is less obtrusive than chest-based devices used in prior research. The study also aimed to further develop a cocaine use detection algorithm used in previous research with an electrocardiogram on a chestband by adapting it to a photoplethysmography sensor on the wrist-worn device which is more prone to motion artifacts. Results indicate that wrist-based heart rate data collection is feasible and can provide higher data yield than chest-based sensors, as wrist-based devices were also more comfortable and affected participants' daily lives less often than chest-based sensors. When properly worn, wrist-based sensors produced similar quality of heart rate and heart rate variability features to chest-based sensors and matched their performance in automated detection of cocaine use events. Clinical Trial Registration: www.ClinicalTrials.gov, identifier: NCT02915341

Blood pressure · Clinical trial · Embedded system · Heart rate · Heart rate variability · Photoplethysmogram · Physical medicine and rehabilitation · Smartwatch · Telecommunications · Wearable computer · Wireless · Wrist · Computer Science · Emotion and Mood Recognition · Heart Rate Variability and Autonomic Control · Medicine · Non-Invasive Vital Sign Monitoring · Internal Medicine · Surgery

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