基于丝网印刷电极的生物传感器检测COVID-19

Lavanya Shinangaram, Santhosh Kumar Dhatrika
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引用次数: 1

摘要

冠状病毒(COVID-19)是一种传染病,现在这种COVID-19大流行在世界范围内传播,导致人类呼吸系统疾病,它可以在短时间内广泛传播。本文将物联网(IoT)无线传感器网络(WSN)的概念分配到医疗保健和COVID-19检测系统中,设计了带有微控制器的生物医学传感器,用于采集数据,基于生物传感器的低成本敏感便携式设备用于COVID-19检测试剂盒,该设备基于丝网印刷电极传感器(SPEs);这是医疗专业人员在ThingSpeak上观察患者信息的完整模型,在Wi-Fi、蓝牙模块的帮助下,专业人员的工作量正在最小化,以减少感染COVID-19的可能性。这项工作的性能是通过患者的状态来监控数据,这些传感器的输出通过无线传感节点进行通信,并且必须通过物联网将相同的数据发送到远程无线监视器,以观察患者的状态,如果发生任何紧急情况,患者也可以控制病情。患者的感染阶段还可以监测疾病的系统数据,并在完成时通知医疗专业人员。因此,乐观的结果表明,生物医学传感器和spe对COVID-19的识别是有益的,因此它可以将结果定位在ThingSpeak和蓝牙模块上,临床中心可以通过额外的生物医学传感器来帮助其构造背后的条件。
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Detection of COVID-19 Using Screen Printed Electrode based Biosensor
Corona virus (COVID-19) is an infectious disease, now this COVID-19 pandemic got spread all over the world which causes illness in the respiratory system in humans, it can spread widely in a short time. In this paper the concept of wireless sensor network (WSN) for Internet of things (IoT) is allocated to the healthcare and detection system for COVID-19 is used to design the biomedical sensors with microcontrollers which are used to collect the data, biosensor based low-cost sensitive portable devices for COVID-19 testing kit which is based on Screen printed electrode sensor (SPEs), this is the complete model of health professionals are observe patients information at the ThingSpeak with help of Wi-Fi, Bluetooth module, professionals workload is minimizing to reducing the possibility of the infected COVID-19 condition. the performance of this work is the data is monitored by the patient’s status, the output of these sensors is communicated via wireless sensing node and acquiring for same data has to be send to the remote wireless monitor for the observed patients status via IoT, If in case of any emergency patients can also control the conditions. The stage of infection disease patients can also monitor system data is to inform the medical professionals at the time being finished. Hence the optimistic results show that the biomedical sensors and SPEs are in beneficial process for identification of COVID-19 so it can be situating the results on ThingSpeak and Bluetooth module, The clinical centers to help conditions behind its conformation with additional biomedical sensors.
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