AutoSense: Quantifying Exposures to Addictive Substances and Psychosocial Stress

AutoSense：量化成瘾物质暴露和心理压力

• 批准号: 8116354
• 负责人: Santosh Kumar
• 金额: $ 17.29万
• 依托单位: UNIVERSITY OF MEMPHIS
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-14 至 2012-10-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8116354
• 关键词: Alcohol or Other Drugs use; Alcohols; Antineoplastic Agents; Behavior; Biochemical; Biosensor; Blood Pressure; Blood alcohol level measurement; Body Temperature; Categories; Clinical; Collection; Computer Assisted; Computer software; Data; Data Collection; Development; Devices; Disease; Drug Addiction; Environment; Epinephrine; Error Sources; Etiology; Exposure to; Frequencies; Future; Galvanic Skin Response; Genetic; Goals; Heart Diseases; Heart Rate; Hormones; Human; Individual; Intercellular Fluid; Intervention; Knowledge; Laboratories; Learning; Life; Life Style; Measurement; Measures; Memory; Mental Depression; Methods; Microprocessor; Monitor; Nicotine; Participant; Patient Monitoring; Patient Self-Report; Pattern; Personal Digital Assistant; Physiological; Physiological Processes; Procedures; Process; Psychosocial Stress; Public Health; Research Personnel; Research Project Grants; Respiration; Rest; Sampling; Skin Temperature; Stress; System; Technology; Testing; Time; Update; Validity and Reliability; Wireless Technology; Work; acute stress; alcohol exposure; alcohol measurement; alcohol response; base; computerized data processing; experience; field study; human disease; improved; indexing; informant; innovative technologies; new technology; portability; programs; relationship abuse; research study; response; sensor; software development; success; tool; transmission process

DESCRIPTION (provided by applicant): Repeated exposures to addictive substances and psychosocial stress are associated with myriad human diseases (e.g., cancer, drug addiction, heart disease, and depression) of tremendous public health burden. However, our progress in the understanding of how exposures to addictive substances and psychosocial stress interact with genetic factors in the etiology of prevalent human diseases is hindered by the lack of technology to collect precise, accurate and objective data to measure personal exposure to both addictive substances and to psychosocial stress, in real time and in an individual's natural environment. In this trans-disciplinary research project, we propose to develop and validate a new field-deployable tool called AutoSense, to measure personal exposure to alcohol and psychosocial stress by leveraging recent developments in wireless sensor network technology, and innovative approaches in the use of wearable sensors for the non-invasive, real-time, and continuous biochemical assessment of human interstitial fluid. AutoSense will be based on a highly versatile, portable, affordable, and de-facto wireless sensor network platform with a microprocessor and wireless transceiver, called Mote, which is already being used in several embedded sensing applications, including ambulatory patient monitoring. There are three specific aims of this project. First, we propose to integrate an existing ISF alcohol sensor in AutoSense. This sensor developed by SpectRx Inc. non-invasively collects ISF samples to detect levels of alcohol present in a subject's body and automatically calibrates to discern changes in blood alcohol levels. We will also integrate several other existing physiological sensors on the Mote to assess physiological responses related to stress, including skin temperature, skin conductance, respiration rate, and heart rate. Second, we will develop new software to collect and process physiological data on alcohol and stress exposure, to securely transmit the collected data via wireless channel on a real-time basis, and to command, control, and update field deployed AutoSense devices remotely. Third, we will conduct rigorous lab and field studies to validate the AutoSense device. The goals of the lab study will be to establish the validity of using the ISF-based alcohol sensor and other physiological sensors as measures of biochemical responses to alcohol exposure and stress. The goals of the field study will be to demonstrate the feasibility and reliability of field deployment. Relevance: The AutoSense device will enable researchers to quantify personal exposure to addictive substances and psychosocial stress, as experienced by individuals in real-life situations. Such a capability will advance our understanding of how exposures to addictive substances and psychosocial stress interact with genetic factors in the etiology of prevalent human diseases of tremendous public health burden.

描述（由申请人提供）：反复接触成瘾物质和社会心理压力与多种人类疾病（例如癌症、毒瘾、心脏病和抑郁症）有关，这些疾病造成巨大的公共健康负担。然而，由于缺乏技术来收集精确、准确和客观的数据来实时测量个人在自然环境中对成瘾物质和社会心理压力的接触情况，我们在理解成瘾物质暴露和心理社会压力如何与人类流行疾病病因学中的遗传因素相互作用方面取得进展，这方面的进展受到阻碍。在这个跨学科研究项目中，我们建议开发和验证一种名为 AutoSense 的新的可现场部署工具，通过利用无线传感器网络技术的最新发展以及使用可穿戴传感器对人体间质液进行非侵入性、实时和连续生化评估的创新方法来测量个人接触酒精和社会心理压力。 AutoSense 将基于一个高度通用、便携式、经济实惠且事实上的无线传感器网络平台，带有微处理器和无线收发器，称为 Mote，该平台已用于多种嵌入式传感应用，包括动态患者监测。该项目有三个具体目标。首先，我们建议将现有的 ISF 酒精传感器集成到 AutoSense 中。该传感器由 SpectRx Inc. 开发，可无创地收集 ISF 样本，以检测受试者体内的酒精含量，并自动校准以辨别血液中酒精含量的变化。我们还将在 Mote 上集成其他几个现有的生理传感器，以评估与压力相关的生理反应，包括皮肤温度、皮肤电导、呼吸频率和心率。其次，我们将开发新软件来收集和处理有关酒精和压力暴露的生理数据，通过无线通道实时安全地传输收集到的数据，并远程命令、控制和更新现场部署的 AutoSense 设备。第三，我们将进行严格的实验室和现场研究来验证 AutoSense 设备。该实验室研究的目标是确定使用基于 ISF 的酒精传感器和其他生理传感器作为对酒精暴露和压力的生化反应测量的有效性。现场研究的目标是证明现场部署的可行性和可靠性。相关性：AutoSense 设备将使研究人员能够量化个人在现实生活中所经历的成瘾物质暴露和社会心理压力。这种能力将增进我们对成瘾物质暴露和社会心理压力如何与造成巨大公共卫生负担的人类流行疾病病因学中的遗传因素相互作用的理解。

项目成果

Assessing the Availability of Users to Engage in Just-in-Time Intervention in the Natural Environment.

• DOI: 10.1145/2632048.2636082
• 发表时间: 2014
• 期刊: Proceedings of the ... ACM International Conference on Ubiquitous Computing . UbiComp (Conference)
• 作者: Sarker H;Sharmin M;Ali AA;Rahman MM;Bari R;Hossain SM;Kumar S
• 通讯作者: Kumar S

Continuous in-the-field measurement of heart rate: Correlates of drug use, craving, stress, and mood in polydrug users.

• DOI: 10.1016/j.drugalcdep.2015.03.024
• 发表时间: 2015-06-01
• 期刊: Drug and alcohol dependence
• 影响因子: 4.2
• 作者: Kennedy AP;Epstein DH;Jobes ML;Agage D;Tyburski M;Phillips KA;Ali AA;Bari R;Hossain SM;Hovsepian K;Rahman MM;Ertin E;Kumar S;Preston KL
• 通讯作者: Preston KL

Are We There Yet? Feasibility of Continuous Stress Assessment via Wireless Physiological Sensors.

• DOI: 10.1145/2649387.2649433
• 发表时间: 2014
• 期刊: ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine
• 作者: Rahman M;Bari R;Ali AA;Sharmin M;Raij A;Hovsepian K;Hossain SM;Ertin E;Kennedy A;Epstein DH;Preston KL;Jobes M;Beck JG;Kedia S;Ward KD;al'Absi M;Kumar S
• 通讯作者: Kumar S