CovidSense: A Smartphone-based Initiative for Fighting COVID-19 Spreading

Georgios Tsoumalis, Zafeirios N. Bampos, A. Papazoglou, D. Iakovakis, S. Hadjidimitriou, G. Apostolidis, V. Charisis, H. F. Jelinek, A. Khandoker, K. Khalaf, E. Damiani, L. Hadjileontiadis
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引用次数: 2

Abstract

Coronavirus Disease COVID-19 is a new strain of coronavirus, first identified in clusters with pneumonia-like symptoms with manifestation mainly of fever (>37.8oC), runny nose, dry cough, anosmia, loss of taste, and fatigue. Testing for COVID-19 can be carried out on samples obtained by various methods, including nasopharyngeal swab or sputum sample. Results are generally available within a few hours to one day. Taking into consideration the worldwide COVID-19 pandemic impact (more than 35.500.000 incidences and more than 1.000.000 deaths so far), it is clear that there is an immediate need to devise an effective tool that can be used both at the hospital and home sites to provide a reliable risk index of confronting COVID-19. Here, the potentialities of a smartphone-based app, namely CovidSense, that could provide a reliable COVID-19 risk index to the user before performing any relevant clinical test, monitor his/her symptoms and provide guidance for further actions are presented. CovidSense is a holistic approach for COVID-19 risk assessment that captures both the status of the respiratory system, via acquisition and AI-based analysis of breathing and coughing sounds, along with the Autonomic Nervus System/Immune System status, via the capturing and analysis of the Heart Rate Variability. The analytical description and functionality of the CovidSense included here manifests the usefulness of such approach in continuous symptoms monitoring, allowing people with early symptoms, quarantined and sensitive groups, such as older adults and patients with comorbidities, to become active participants in the effort of fighting the spread of COVID-19, by monitoring their status and get engaged in appropriate preventative actions. CovidSense paves the way for solutions using technological artifacts, such as smartphones, to foster inclusiveness and joint efforts in successfully addressing global health problems, such as the COVID-19 pandemic.
covid - sense:基于智能手机的抗击COVID-19传播倡议
COVID-19是一种新型冠状病毒,首次在以发热(>37.8℃)、流鼻涕、干咳、嗅觉丧失、味觉丧失和疲劳为主要表现的肺炎样症状的聚集性中发现。可对通过各种方法获得的样本(包括鼻咽拭子或痰样本)进行COVID-19检测。结果通常在几小时到一天内就能得到。考虑到全球COVID-19大流行的影响(迄今已有超过3550万例病例和100多万例死亡),显然迫切需要设计一种既可在医院又可在家庭现场使用的有效工具,以提供应对COVID-19的可靠风险指数。本文介绍了基于智能手机的应用程序covid - sense的潜力,该应用程序可以在进行相关临床测试之前为用户提供可靠的COVID-19风险指数,监测其症状并为进一步行动提供指导。covid - sense是一种用于COVID-19风险评估的整体方法,通过采集和基于人工智能的呼吸和咳嗽声音分析来捕获呼吸系统状态,以及通过捕获和分析心率变异性来捕获自主神经系统/免疫系统状态。本文对covid - sense的分析描述和功能表明了这种方法在持续监测症状方面的有用性,使有早期症状的人、被隔离的敏感群体(如老年人和合并症患者)能够通过监测其状况并参与适当的预防行动,积极参与抗击COVID-19传播的努力。covid - sense为使用智能手机等技术制品的解决方案铺平了道路,以促进包容性和共同努力,成功解决COVID-19大流行等全球卫生问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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