Validation of a System for Noninvasive Monitoring of Cigarette Smoking

无创吸烟监测系统的验证

• 批准号: 9185296
• 负责人: EDWARD S SAZONOV
• 金额: $ 40.31万
• 依托单位: UNIVERSITY OF ALABAMA IN TUSCALOOSA
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-02-01 至 2018-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9185296
• 关键词: Address; Affect; Algorithms; Behavior; Behavioral; Biological Markers; Biomedical Engineering; Breathing; Carbon Monoxide; Cellular Phone; Cessation of life; Characteristics; Chest; Cigarette; Clothing; Collection; Computational algorithm; Computer software; Conscious; Cotinine; Country; Data; Detection; Development; Devices; Economics; Effectiveness; Environment; Event; Feedback; Frequencies; Gender; Generations; Gestures; Goals; Grant; Hand; Health; Individual; Intervention; Laboratories; Lighting; Location; Measures; Memory; Methodology; Methods; Monitor; Oral cavity; Patient Self-Report; Pattern; Pattern Recognition; Research; Signal Transduction; Smoke; Smoker; Smoking; Smoking Behavior; System; Technology; Testing; Time; United States; Validation; behavioral pharmacology; cigarette smoking; computerized data processing; diaries; improved; instrument; markov model; new technology; novel; portability; programs; prototype; public health relevance; respiratory; response; sensor; signal processing; smoke inhalation; smoking cessation; smoking intervention; trait

DESCRIPTION (provided by applicant): Cigarette smoking is the leading cause of preventable death in the United States. Smoking produces over 440,000 deaths each year in this country and generates an estimated $167 billion in annual health-related economic losses. Available methods of smoking assessment (e.g., self-report, portable puff-topography instruments) do not permit the collection of accurate, non-reactive measures of smoking behavior that capture real-time smoking frequency and comprehensive within-cigarette puff topography. The objective of this project is to complete development of a non-invasive wearable system (Personal Automatic Cigarette Tracker - PACT) that does not rely on any form of self-report and does not interfere with the natural smoking behavior of an individual, develop new capabilities for monitoring of smoke exposure, fully validate PACT in unconstrained settings, evaluate if PACT can detect whether the use of portable puff topography devices affect smoking behavior, compare the strength of correlation of metrics of smoke exposure measured by PACT and PTI with commonly used smoke-exposure biomarkers, and determine whether smoke exposure metrics collected in the natural environment are related to heaviness of smoking and smoking location. Methodologically, PACT relies on: 1. Wearable sensors for monitoring of breathing and hand-to-mouth gestures. Miniature sensors integrated into an elastic belt worn under regular clothing monitor the breathing and activity patterns of individuals. 2. Computer algorithms utilizing signal processing and pattern recognition methods for analysis of the sensor signals, detection of patterns uniquely identifying smoking events, and computation of smoke exposure metrics. The validation of the PACT system will be addressed in six Specific Aims: Aim 1. Perform pilot testing of the new generation of the PACT device and collect data for algorithm development. Aim 2. Improve computer algorithms to recognize individual smoke inhalations, develop algorithms for characterization of smoke exposure and investigate algorithms' accuracy as a function of users' anthropometric characteristics (gender, BMI, etc.). Aim 3. Validate PACT in unconstrained settings. Aim 4. Evaluate difference in smoking behavior metrics monitored by puff topography and PACT. Aim 5. Evaluate associations between common smoking biomarkers and smoke exposure metrics from PTI and PACT. Aim 6. Examine the extent to which smoking metrics derived from PACT are related to level of smoking and smoking location. This set of Specific Aims will build on the prototype developed in a previous R21 grant, bring the device and associated data processing methods to maturity, enable practical use of PACT in studies of smoking behavior, and facilitate novel applications allowing for real-time feedback to smokers.

描述（由申请人提供）：吸烟是美国可预防死亡的主要原因。吸烟在该国每年每年造成44万多人死亡，估计每年与健康相关的经济损失估计1670亿美元。可用的吸烟评估方法（例如，自我报告，便携式吹式图像仪器）不允许收集准确的，非反应性的吸烟行为，以捕获实时吸烟频率和全面的烟内泡芙地形。 The objective of this project is to complete development of a non-invasive wearable system (Personal Automatic Cigarette Tracker - PACT) that does not rely on any form of self-report and does not interfere with the natural smoking behavior of an individual, develop new capabilities for monitoring of smoke exposure, fully validate PACT in unconstrained settings, evaluate if PACT can detect whether the use of portable puff topography devices affect smoking behavior, compare the strength of correlation of通过PACT和PTI用常用的烟雾暴露生物标志物测量的烟雾暴露指标，并确定在自然环境中收集的烟雾暴露指标是否与吸烟和吸烟地点的重度有关。从方法论上讲，PACT依赖于：1。可穿戴传感器来监测呼吸和手到口感的手势。在常规服装下佩戴的弹性带中的微型传感器监控了个体的呼吸和活动模式。 2。使用信号的计算机算法 用于分析传感器信号的处理和模式识别方法，检测唯一识别吸烟事件的模式以及烟雾暴露指标的计算。 PACT系统的验证将以六个特定目的解决：AIM 1。对PACT设备的新一代进行试点测试，并收集数据以进行算法开发。目标2。改进计算机算法以识别单个烟雾吸入，开发烟雾暴露的算法，并研究算法的精度，作为用户人体测量特征（性别，BMI等）的函数。目标3。在不受约束的设置中验证契约。 AIM 4。评估通过粉扑地形和契约监测的吸烟行为指标的差异。 AIM 5。评估普通吸烟生物标志物与PTI和PACT的烟雾暴露指标之间的关联。目标6。检查从公约中得出的吸烟指标与吸烟和吸烟地点的水平有关的程度。这组特定目标将建立在先前R21赠款中开发的原型上，将设备和相关的数据处理方法带入成熟度，可以实际利用PACT在吸烟行为的研究中，并促进新的应用，从而允许对吸烟者进行实时反馈。