Giuliana Favara, Martina Barchitta, Andrea Maugeri, Roberta Magnano San Lio, Antonella Agodi
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Furthermore, it is crucial to emphasize that this area of study is dynamic and requires ongoing updates.</p><p><strong>Objective: </strong>This scoping review aims to map the scientific literature for identifying the main sensors developed or used for tobacco smoke detection, with a specific focus on wearable sensors, as well as describe their key features and categorize them by type.</p><p><strong>Methods: </strong>According to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) protocol, an electronic search was conducted on the PubMed, MEDLINE, and Web of Science databases, using the following keywords: (\"biosensors\" OR \"biosensor\" OR \"sensors\" OR \"sensor\" OR \"wearable\") AND (\"smoking\" OR \"smoke\").</p><p><strong>Results: </strong>Among a total of 37 studies included in this scoping review published between 2012 and March 2024, 16 described sensors based on wearable bands, 15 described multisensory systems, and 6 described other strategies to detect tobacco smoke exposure. 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引用次数: 0
摘要
背景:人们正在探索使用可穿戴传感器,通过测量现实生活中的生理和环境因素来准确识别吸烟行为,这是一种具有挑战性的方法。虽然可穿戴设备在帮助戒烟方面具有潜在的优势,但目前还没有一种可穿戴设备能在检测吸烟事件方面达到很高的准确度。此外,必须强调的是,这一研究领域是动态的,需要不断更新:本范围综述旨在对科学文献进行梳理,以确定开发或用于烟草烟雾检测的主要传感器,重点关注可穿戴传感器,并描述其主要特征,按类型对其进行分类:根据 PRISMA-ScR(Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews)协议,在 PubMed、MEDLINE 和 Web of Science 数据库中使用以下关键词进行了电子检索:("生物传感器 "或 "生物传感器 "或 "传感器 "或 "传感器 "或 "可穿戴式")和("吸烟 "或 "烟雾"):在2012年至2024年3月期间发表的37项研究中,16项研究介绍了基于可穿戴手环的传感器,15项研究介绍了多感官系统,6项研究介绍了检测烟草烟雾暴露的其他策略。所纳入的研究详细介绍了基于松紧带的可穿戴传感器的设计或应用,以检测烟草烟雾暴露的不同方面(如手臂、手腕和手指运动以及点烟事件)。一些研究提出了由不同传感器模式组成的系统(如个人自动卷烟跟踪器[PACT]、PACT 2.0和AutoSense):我们的范围审查揭示了与可穿戴设备相关的障碍和机遇,为未来的研究计划提供了宝贵的见解。应对公认的挑战并探索潜在的改进途径,可以将可穿戴设备提升为更有效的戒烟辅助工具。在此背景下,持续的研究对于微调和优化这些设备,保证其在实际应用中的实用性和可靠性至关重要。
Sensors for Smoking Detection in Epidemiological Research: Scoping Review.
Background: The use of wearable sensors is being explored as a challenging way to accurately identify smoking behaviors by measuring physiological and environmental factors in real-life settings. Although they hold potential benefits for aiding smoking cessation, no single wearable device currently achieves high accuracy in detecting smoking events. Furthermore, it is crucial to emphasize that this area of study is dynamic and requires ongoing updates.
Objective: This scoping review aims to map the scientific literature for identifying the main sensors developed or used for tobacco smoke detection, with a specific focus on wearable sensors, as well as describe their key features and categorize them by type.
Methods: According to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) protocol, an electronic search was conducted on the PubMed, MEDLINE, and Web of Science databases, using the following keywords: ("biosensors" OR "biosensor" OR "sensors" OR "sensor" OR "wearable") AND ("smoking" OR "smoke").
Results: Among a total of 37 studies included in this scoping review published between 2012 and March 2024, 16 described sensors based on wearable bands, 15 described multisensory systems, and 6 described other strategies to detect tobacco smoke exposure. Included studies provided details about the design or application of wearable sensors based on an elastic band to detect different aspects of tobacco smoke exposure (eg, arm, wrist, and finger movements, and lighting events). Some studies proposed a system composed of different sensor modalities (eg, Personal Automatic Cigarette Tracker [PACT], PACT 2.0, and AutoSense).
Conclusions: Our scoping review has revealed both the obstacles and opportunities linked to wearable devices, offering valuable insights for future research initiatives. Tackling the recognized challenges and delving into potential avenues for enhancement could elevate wearable devices into even more effective tools for aiding smoking cessation. In this context, continuous research is essential to fine-tune and optimize these devices, guaranteeing their practicality and reliability in real-world applications.
期刊介绍:
JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636.
The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics.
JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.