AsthmaGuru:一个改善哮喘药物依从性的框架

R. Biswas, Peter Chang, H. Dharmasiri, G. Patel, A. Sabharwal
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引用次数: 2

摘要

哮喘是一种广泛存在的慢性疾病。哮喘管理不善导致每年大量住院,其中大多数是可以通过严格遵守药物治疗来避免的。AsthmaGuru是一个旨在为用户提供个性化健康状态指导的系统,旨在提高他们对药物的依从性。为了实现这一目标,AsthmaGuru收集了三种形式的数据:(a)使用低功率便携式电子附件对吸入器的药物依从性进行自动且不明显的测量,(b)基于便携式肺量计的肺功能测量和(c)当地空气质量指标。我们利用定制的低功耗硬件平台来增强吸入器和肺活量测定仪,并开发定制的Android API来进行延迟容忍数据收集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AsthmaGuru: a framework to improve adherence to asthma medication
Asthma is a widespread chronic disease. Poor management of Asthma results in a large number of hospitalizations each year, the majority of which are avoidable through strict adherence to medication. AsthmaGuru is a system which aims to provide personalized guidance to users on their health state, with an aim to improve their compliance to medication. To achieve this aim, AsthmaGuru aggregates three forms of data: (a) automated and unobtrusive measurement of medication adherence using a low-power portable electronic attachment to an inhaler, (b) lung function measurement based on portable spirometry and (c) local air quality metrics. We leverage a custom low-power hardware platform for augmenting the inhalers and spirometry and develop a custom Android API for delay-tolerant data collection.
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