Fakhrulddin Saif Saad, Bhatt Vaibhav
GTU School of Applied Sciences and Technology, Gujarat Technological University, Ahmedabad, India.
GTU School of Applied Sciences and Technology, Gujarat Technological University, Ahmedabad, India.
Prog Mol Biol Transl Sci. 2025;215:355-384. doi: 10.1016/bs.pmbts.2025.05.007. Epub 2025 May 20.
Biosensors and devices that are wearable and enable continuous monitoring of lung function are disrupting methods of tracking respiratory health outside conventional settings. These cutting-edge technologies combine state-of-the-art sensors, flexible materials, and wireless connectivity to continuously monitor important respiratory metrics like oxygen saturation, breathing patterns, and lung volumes. They hold considerable promise in the eclipse of chronic respiratory diseases such as asthma and Chronic obstructive pulmonary disease (COPD), early detection of exacerbations, and individualization of treatment. Outside the clinical realm, these wearable biosensors provide actionable insights on improving respiratory efficiency and patterns that can be utilized in fitness optimization, rehabilitation, and sleep disorder management. Recent progress in sensor miniaturization, biocompatible materials, and data analytics has improved the comfort, accuracy, and ease of usability of these devices. Although these advantages exist, issues of motion artifacts, sensor calibration, and data security remain an ongoing challenge. What artificial intelligence and Internet of Things (IoT) allow us to do is break down these barriers, so no longer is it just a promise of predictive analytics and remote monitoring but actually a seamless possibility. Moreover, wearable biosensors may also be beneficial in public health programs as they allow large-scale collection and monitoring of individual health data at population levels during epidemics. As these devices progress, they will revolutionize respiratory healthcare by developing excellence in treatment, providing increased accessibility, and enabling proactive management of the disease.
可穿戴式生物传感器和设备能够持续监测肺功能,正在颠覆传统环境之外的呼吸健康追踪方法。这些前沿技术结合了最先进的传感器、柔性材料和无线连接功能,以持续监测诸如血氧饱和度、呼吸模式和肺容量等重要呼吸指标。它们在诸如哮喘和慢性阻塞性肺疾病(COPD)等慢性呼吸道疾病的防治、病情加重的早期检测以及治疗的个性化方面具有巨大潜力。在临床领域之外,这些可穿戴生物传感器提供了关于改善呼吸效率和模式的可行见解,可用于健身优化、康复和睡眠障碍管理。传感器小型化、生物相容性材料和数据分析方面的最新进展提高了这些设备的舒适度、准确性和易用性。尽管存在这些优势,但运动伪影、传感器校准和数据安全问题仍然是一个持续的挑战。人工智能和物联网(IoT)使我们能够打破这些障碍,因此不再仅仅是预测性分析和远程监测的承诺,而是切实可行的无缝可能。此外,可穿戴生物传感器在公共卫生项目中也可能有益,因为它们能够在疫情期间在人群层面大规模收集和监测个人健康数据。随着这些设备的不断发展,它们将通过提高治疗水平、增加可及性并实现疾病的主动管理,彻底改变呼吸医疗保健。