Department of Medical and Surgical Sciences and Advanced Technologies "GF Ingrassia", University of Catania, Catania, Italy.
JMIR Mhealth Uhealth. 2024 Oct 30;12:e52383. doi: 10.2196/52383.
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.
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.
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").
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).
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.
可穿戴传感器正被探索作为一种在现实环境中通过测量生理和环境因素来准确识别吸烟行为的具有挑战性的方法。虽然它们在帮助戒烟方面具有潜在的好处，但目前没有单一的可穿戴设备能够在检测吸烟事件方面达到高精度。此外，需要强调的是，该研究领域是动态的，需要不断更新。
本范围综述旨在绘制用于识别为烟草烟雾检测开发或使用的主要传感器的科学文献图谱，特别关注可穿戴传感器，并描述其关键特征并按类型进行分类。
根据 PRISMA-ScR（系统评价和荟萃分析扩展的首选报告项目用于范围综述）协议，在 PubMed、MEDLINE 和 Web of Science 数据库上进行了电子搜索，使用以下关键字：（“生物传感器”或“生物传感器”或“传感器”或“传感器”或“可穿戴”）和（“吸烟”或“烟雾”）。
在本范围综述中包括的总共 37 项研究发表于 2012 年至 2024 年 3 月之间，其中 16 项描述了基于可穿戴带的传感器，15 项描述了多感官系统，6 项描述了其他检测烟草烟雾暴露的策略。纳入的研究详细介绍了基于弹性带设计或应用的可穿戴传感器，用于检测烟草烟雾暴露的不同方面（例如，手臂、手腕和手指运动以及照明事件）。一些研究提出了由不同传感器模式组成的系统（例如，个人自动香烟追踪器[PACT]、PACT 2.0 和 AutoSense）。
我们的范围综述揭示了可穿戴设备面临的障碍和机遇，为未来的研究计划提供了有价值的见解。应对公认的挑战并深入研究增强的潜在途径，可以使可穿戴设备成为更有效的戒烟辅助工具。在这种情况下，持续的研究对于微调并优化这些设备至关重要，以确保它们在实际应用中的实用性和可靠性。
