地理定位
医学
哮喘
可穿戴计算机
智能手表
哮喘管理
互联网
人工智能
计算机科学
万维网
嵌入式系统
内科学
作者
David Drummond,Jolt Roukema,Mariëlle W. Pijnenburg
出处
期刊:Current Opinion in Pulmonary Medicine
[Ovid Technologies (Wolters Kluwer)]
日期:2023-04-27
卷期号:29 (4): 270-276
被引量:8
标识
DOI:10.1097/mcp.0000000000000963
摘要
We highlight the recent advances in home monitoring of patients with asthma, and show that these advances converge towards the implementation of digital twin systems.Connected devices for asthma are increasingly numerous, reliable and effective: new electronic monitoring devices extend to nebulizers and spacers, are able to assess the quality of the inhalation technique, and to identify asthma attack triggers when they include a geolocation function; environmental data can be acquired from databases and refined by wearable air quality sensors; smartwatches are better validated. Connected devices are increasingly integrated into global monitoring systems. At the same time, machine learning techniques open up the possibility of using the large amount of data collected to obtain a holistic assessment of asthma patients, and social robots and virtual assistants can help patients in the daily management of their asthma.Advances in the internet of things, machine learning techniques and digital patient support tools for asthma are paving the way for a new era of research on digital twins in asthma.
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