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Towards detecting cocaine use using smartwatches in the NIDA clinical trials network: Design, rationale, and methodology.
Holtyn, August F; Bosworth, Eugene; Marsch, Lisa A; McLeman, Bethany; Meier, Andrea; Saunders, Elizabeth C; Ertin, Emre; Ullah, Md Azim; Samiei, Shahin Alan; Hossain, Monowar; Kumar, Santosh; Preston, Kenzie L; Vahabzadeh, Massoud; Shmueli-Blumberg, Dikla; Collins, Julia; McCormack, Jennifer; Ghitza, Udi E.
Afiliación
  • Holtyn AF; Johns Hopkins University School of Medicine, 5200 Eastern Ave, Baltimore, MD, 21224, USA.
  • Bosworth E; Johns Hopkins University School of Medicine, 5200 Eastern Ave, Baltimore, MD, 21224, USA.
  • Marsch LA; Geisel School of Medicine at Dartmouth, 46 Centerra Parkway, Suite 315, Lebanon, NH, 03766, USA.
  • McLeman B; Geisel School of Medicine at Dartmouth, 46 Centerra Parkway, Suite 315, Lebanon, NH, 03766, USA.
  • Meier A; Geisel School of Medicine at Dartmouth, 46 Centerra Parkway, Suite 315, Lebanon, NH, 03766, USA.
  • Saunders EC; Geisel School of Medicine at Dartmouth, 46 Centerra Parkway, Suite 315, Lebanon, NH, 03766, USA.
  • Ertin E; Ohio State University, 512 Dreese Lab, 2015 Neil Avenue, Columbus, OH, 43210, USA.
  • Ullah MA; Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K), The University of Memphis FedEx Institute of Technology, Suite 335, Memphis, TN, 38152, USA.
  • Samiei SA; The University of Memphis, Department of Computer Science, 375 Dunn Hall, Memphis, TN, 38152, USA.
  • Hossain M; Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K), The University of Memphis FedEx Institute of Technology, Suite 335, Memphis, TN, 38152, USA.
  • Kumar S; Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K), The University of Memphis FedEx Institute of Technology, Suite 335, Memphis, TN, 38152, USA.
  • Preston KL; Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K), The University of Memphis FedEx Institute of Technology, Suite 335, Memphis, TN, 38152, USA.
  • Vahabzadeh M; The University of Memphis, Department of Computer Science, 375 Dunn Hall, Memphis, TN, 38152, USA.
  • Shmueli-Blumberg D; National Institute on Drug Abuse Intramural Research Program, 251 Bayview Blvd, Baltimore, MD, 21224, USA.
  • Collins J; National Institute on Drug Abuse Intramural Research Program, 251 Bayview Blvd, Baltimore, MD, 21224, USA.
  • McCormack J; Emmes Corporation, 401 N Washington, Suite 700, Rockville, MD, 20850, USA.
  • Ghitza UE; Emmes Corporation, 401 N Washington, Suite 700, Rockville, MD, 20850, USA.
Contemp Clin Trials Commun ; 15: 100392, 2019 Sep.
Article en En | MEDLINE | ID: mdl-31245651
Cocaine use in clinical trials is often measured via self-report, which can be inaccurate, or urine drug screens, which can be intrusive and burdensome. Devices that can automatically detect cocaine use and can be worn conveniently in daily life may provide several benefits. AutoSense is a wearable, physiological-monitoring suite that can detect cocaine use, but it may be limited as a method for monitoring cocaine use because it requires wearing a chestband with electrodes. This paper describes the design, rationale, and methodology of a project that seeks to build upon and extend previous work in the development of methods to detect cocaine use via wearable, unobtrusive mobile sensor technologies. To this end, a wrist-worn sensor suite (i.e., MotionSense HRV) will be developed and evaluated. Participants who use cocaine (N = 25) will be asked to wear MotionSense HRV and AutoSense for two weeks during waking hours. Drug use will be assessed via thrice-weekly urine drug screens and self-reports, and will be used to isolate periods of cocaine use that will be differentiated from other drug use. The present study will provide information on the feasibility and acceptability of using a wrist-worn device to detect cocaine use.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Contemp Clin Trials Commun Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Contemp Clin Trials Commun Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Países Bajos