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关于在 COVID-19 大流行期间使用基于可穿戴设备的移动医疗进行急性心血管病患者闭环管理的建议。

Recommendation to Use Wearable-Based mHealth in Closed-Loop Management of Acute Cardiovascular Disease Patients During the COVID-19 Pandemic.

出版信息

IEEE J Biomed Health Inform. 2021 Apr;25(4):903-908. doi: 10.1109/JBHI.2021.3059883. Epub 2021 Apr 6.

Abstract

Because of the rapid and serious nature of acute cardiovascular disease (CVD) especially ST segment elevation myocardial infarction (STEMI), a leading cause of death worldwide, prompt diagnosis and treatment is of crucial importance to reduce both mortality and morbidity. During a pandemic such as coronavirus disease-2019 (COVID-19), it is critical to balance cardiovascular emergencies with infectious risk. In this work, we recommend using wearable device based mobile health (mHealth) as an early screening and real-time monitoring tool to address this balance and facilitate remote monitoring to tackle this unprecedented challenge. This recommendation may help to improve the efficiency and effectiveness of acute CVD patient management while reducing infection risk.

摘要

由于急性心血管疾病(CVD)特别是全球主要死因 ST 段抬高型心肌梗死(STEMI)具有快速和严重的性质,因此及时诊断和治疗对于降低死亡率和发病率至关重要。在 2019 年冠状病毒病(COVID-19)等大流行期间,必须平衡心血管急症与感染风险。在这项工作中,我们建议使用基于可穿戴设备的移动医疗(mHealth)作为早期筛查和实时监测工具,以解决这种平衡,并通过远程监测来应对这一前所未有的挑战。这一建议可能有助于提高急性 CVD 患者管理的效率和效果,同时降低感染风险。

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本文引用的文献

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COVID-19 Artificial Intelligence Diagnosis Using Only Cough Recordings.仅使用咳嗽录音的COVID-19人工智能诊断
IEEE Open J Eng Med Biol. 2020 Sep 29;1:275-281. doi: 10.1109/OJEMB.2020.3026928. eCollection 2020.
2
Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic?移动健康技术能否帮助减轻新冠疫情的影响?
IEEE Open J Eng Med Biol. 2020 Aug 7;1:243-248. doi: 10.1109/OJEMB.2020.3015141. eCollection 2020.
4
Pre-symptomatic detection of COVID-19 from smartwatch data.从智能手表数据中进行 COVID-19 的症状前检测。
Nat Biomed Eng. 2020 Dec;4(12):1208-1220. doi: 10.1038/s41551-020-00640-6. Epub 2020 Nov 18.

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