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iMStrong:用于检测可卡因使用情况的生物传感器系统的部署。

iMStrong: Deployment of a Biosensor System to Detect Cocaine Use.

作者信息

Carreiro Stephanie, Fang Hua, Zhang Jianying, Wittbold Kelley, Weng Shicheng, Mullins Rachel, Smelson David, Boyer Edward W

机构信息

Department of Emergency Medicine, Division of Medical Toxicology, University of Massachusetts, Worcester, MA, USA.

Department of Quantitative Health Sciences, University of Massachusetts, 368 Plantation St., Worcester, MA, 01605, USA.

出版信息

J Med Syst. 2015 Dec;39(12):186. doi: 10.1007/s10916-015-0337-9. Epub 2015 Oct 21.

Abstract

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.

摘要

生物传感器系统在行为干预中的应用越来越受到推广。便携式生物传感器可能比自我报告更具优势,并且能为接受药物治疗项目的患者提供更好的检测和干预机会。15名参与者佩戴了一种能够检测交感神经系统(SNS)觉醒的多种生理指标的生物传感器腕带,为期30天。每周进行两次尿液药物筛查和药物使用自我报告。应用参数轨迹描述方法来捕捉SNS活动的三个指标(皮肤电活动(EDA)、皮肤温度和运动)幅度的突然变化。通过生物传感器检测到的药物使用事件使用一组参数进行验证:生物传感器数据、尿液药物筛查和患者药物使用自我报告。共识别出12次可卡因尿液筛查呈阳性。记录了13次自我报告的可卡因使用事件。在生物传感器数据上识别出与可卡因使用一致的生物特征参数的不同事件。生物传感器识别出11次潜在的可卡因使用事件,而自我报告和药物筛查均未发现。研究参与者认为移动生物传感器是可以接受的,并且对方案的依从性很高。在自我报告或药物筛查或两者均未发现的情况下,通过分析生物传感器数据检测到了由生物生理参数的超生理变化所衡量的可卡因使用事件。生物传感器在检测药物滥用、实时了解使用情况以及评估药物滥用行为干预的效果方面具有巨大潜力。

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