Suppr超能文献

哮喘患者的可穿戴生命体征监测:综述

Wearable Vital Signs Monitoring for Patients With Asthma: A Review.

作者信息

Taylor Lucy, Ding Xiaorong, Clifton David, Lu Huiqi

机构信息

Somerville College and the Department of Engineering Science, University of Oxford, OX2 6HD Oxford, U.K.

School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610056, China.

出版信息

IEEE Sens J. 2020 Feb 1;23(3):1734-1751. doi: 10.1109/JSEN.2022.3224411.

Abstract

Worldwide,an estimated 461 000 people die from asthma attacks each year. While there remain treatments to alleviate asthma symptoms and reduce deaths, patient deterioration needs to be identified in sufficient time. To prevent asthma deterioration, patients need to be aware of personal and environmental triggers and monitor their asthma symptoms. The aim of this article is to provide a comprehensive review of the current state-of-the-art wearable sensors and devices that use vital signs for asthma patient monitoring and management. Among all vital signs, breathing rate and airflow sound are key indicators of asthmatic patients' health that can be measured directly using wearable sensors to provide continuous and constant patient monitoring or indirectly by estimations based on proven algorithms using electrocardiogram (ECG), photoplethysmogram (PPG), and chest movements. ECG and PPG signals are widely used in smart watches and chest bands, enabling easy integration of a more extensive body sensor framework for asthmatic exacerbation prediction. Other vital signs used in asthma patient monitoring include blood oxygen saturation, temperature, blood pressure, verbal sound, and pain responses. The use of wearable vital signs enabled a broad range of wearable sensor application scenarios for asthma monitoring and management.

摘要

全球范围内,每年估计有46.1万人死于哮喘发作。虽然目前已有缓解哮喘症状和降低死亡率的治疗方法,但仍需及时发现患者病情恶化情况。为预防哮喘病情恶化,患者需要了解个人和环境诱因,并监测自身哮喘症状。本文旨在全面综述当前最先进的可穿戴传感器及设备,这些设备利用生命体征对哮喘患者进行监测和管理。在所有生命体征中,呼吸频率和气流声音是哮喘患者健康状况的关键指标,可通过可穿戴传感器直接测量以实现对患者的持续监测,也可基于使用心电图(ECG)、光电容积脉搏波描记法(PPG)和胸部运动的成熟算法进行间接估算。ECG和PPG信号广泛应用于智能手表和胸带中,便于集成更广泛的身体传感器框架以预测哮喘发作。用于哮喘患者监测的其他生命体征包括血氧饱和度、体温、血压、语音和疼痛反应。可穿戴生命体征监测技术为哮喘监测和管理提供了广泛的可穿戴传感器应用场景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e8/7615004/44460a7bfc5d/EMS185063-f010.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验