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dc.contributor.authorCarreiro, Stephanie
dc.contributor.authorFang, Hua (Julia)
dc.contributor.authorZhang, Jianying
dc.contributor.authorWittbold, Kelley
dc.contributor.authorWeng, Shicheng
dc.contributor.authorMullins, Rachel
dc.contributor.authorSmelson, David A.
dc.contributor.authorBoyer, Edward W.
dc.date2022-08-11T08:10:34.000
dc.date.accessioned2022-08-23T17:13:18Z
dc.date.available2022-08-23T17:13:18Z
dc.date.issued2015-12-01
dc.date.submitted2015-11-05
dc.identifier.citationCarreiro S, Fang H, Zhang J, Wittbold K, Weng S, Mullins R, Smelson D, Boyer EW. iMStrong: Deployment of a Biosensor System to Detect Cocaine Use. J Med Syst. 2015 Dec;39(12):186. doi: 10.1007/s10916-015-0337-9. Epub 2015 Oct 21. PubMed PMID: 26490144. <a href="http://dx.doi.org/10.1007/s10916-015-0337-9" target="_blank">Link to article on publisher's website</a>
dc.identifier.issn1573-689X
dc.identifier.doi10.1007/s10916-015-0337-9
dc.identifier.pmid26490144
dc.identifier.urihttp://hdl.handle.net/20.500.14038/46697
dc.description<p>Kelley Wittbold participated in this study as a medical student as part of the Senior Scholars research program at the University of Massachusetts Medical School.</p>
dc.description.abstractBiosensor systems are increasingly promoted for use in behavioral interventions. Portable biosensors might offer advancement over self-report use and can provide improved opportunity for detection and intervention in patients undergoing drug treatment programs. Fifteen participants wore a biosensor wristband capable of detecting multiple physiologic markers of sympathetic nervous system (SNS) arousal for 30 days. Urine drug screening and drug use self-report were obtained twice per week. A parameter trajectory description method was applied to capture abrupt changes in magnitude of three measures of SNS activity: Electrodermal activity (EDA), skin temperature and motion. Drug use events detected by the biosensor were verified using a triad of parameters: the biosensor data, urine drug screens, and patient self-report of substance use. Twelve positive cocaine urine screens were identified. Thirteen self-reported episodes of cocaine use were recorded. Distinct episodes with biometric parameters consistent with cocaine use were identified on biosensor data. Eleven potential cocaine use episodes were identified by biosensors that were missed by both self-report and drug screening. Study participants found mobile biosensors to be acceptable, and compliance with the protocol was high. Episodes of cocaine use, as measured by supraphysiologic changes in biophysiometric parameters, were detected by analysis of biosensor data in instances when self-report or drug screening or both failed. Biosensors have substantial potential in detecting substance abuse, in understanding the context of use in real time, and in evaluating the efficacy of behavioral interventions for drug abuse.
dc.language.isoen_US
dc.publisherKluwer Academic/Plenum Publishers
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=26490144&dopt=Abstract">Link to article in PubMed</a>
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4888957/
dc.subjectUMCCTS funding
dc.subjectBiosensor system
dc.subjectDrug abuse
dc.subjectMobile biosensing
dc.subjectParameter trajectory
dc.subjectmHealth
dc.subjectBiomedical Engineering and Bioengineering
dc.subjectComputer Sciences
dc.subjectEmergency Medicine
dc.subjectHealth Information Technology
dc.subjectMedical Toxicology
dc.subjectPsychiatry
dc.subjectPsychiatry and Psychology
dc.subjectSubstance Abuse and Addiction
dc.subjectToxicology
dc.titleiMStrong: Deployment of a Biosensor System to Detect Cocaine Use
dc.typeJournal Article
dc.source.journaltitleJournal of medical systems
dc.source.volume39
dc.source.issue12
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/qhs_pp/1154
dc.identifier.contextkey7812233
atmire.contributor.authoremailstephanie.carreiro@umassmed.edu
html.description.abstract<p>Biosensor systems are increasingly promoted for use in behavioral interventions. Portable biosensors might offer advancement over self-report use and can provide improved opportunity for detection and intervention in patients undergoing drug treatment programs. Fifteen participants wore a biosensor wristband capable of detecting multiple physiologic markers of sympathetic nervous system (SNS) arousal for 30 days. Urine drug screening and drug use self-report were obtained twice per week. A parameter trajectory description method was applied to capture abrupt changes in magnitude of three measures of SNS activity: Electrodermal activity (EDA), skin temperature and motion. Drug use events detected by the biosensor were verified using a triad of parameters: the biosensor data, urine drug screens, and patient self-report of substance use. Twelve positive cocaine urine screens were identified. Thirteen self-reported episodes of cocaine use were recorded. Distinct episodes with biometric parameters consistent with cocaine use were identified on biosensor data. Eleven potential cocaine use episodes were identified by biosensors that were missed by both self-report and drug screening. Study participants found mobile biosensors to be acceptable, and compliance with the protocol was high. Episodes of cocaine use, as measured by supraphysiologic changes in biophysiometric parameters, were detected by analysis of biosensor data in instances when self-report or drug screening or both failed. Biosensors have substantial potential in detecting substance abuse, in understanding the context of use in real time, and in evaluating the efficacy of behavioral interventions for drug abuse.</p>
dc.identifier.submissionpathqhs_pp/1154
dc.contributor.departmentSenior Scholars Program
dc.contributor.departmentSchool of Medicine
dc.contributor.departmentSystems and Psychosocial Advances Research Center
dc.contributor.departmentDepartment of Psychiatry
dc.contributor.departmentDepartment of Quantitative Health Sciences
dc.contributor.departmentDepartment of Emergency Medicine, Division of Medical Toxicology
dc.source.pages186


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