论文标题
电子质量:一种用于监测冠状病毒患者进行隔离隔离的智能卫生系统
E-Quarantine: A Smart Health System for Monitoring Coronavirus Patients for Remotely Quarantine
论文作者
论文摘要
由于各个国家的速度蔓延,冠状病毒成为正式的全球大流行。越来越多的感染这种疾病会导致无法在医院中充分护理医院,并折磨医院内的许多医生和护士。本文提出了一种智能卫生系统,该系统可以远程监视持有冠状病毒的患者。由于保护卫生服务成员(如医生和护士)的生命,免受感染。该智能系统观察到患有这种疾病的人,基于使许多传感器每秒记录患者的许多功能。这些参数包括测量患者的温度,呼吸频率,脉搏率,血压和时间。拟议的系统可以挽救生命并改善危险情况下的决策。它建议使用人工智能和三世互联网进行远程隔离,并在各种情况下制定决策。它为患者提供监测,并保证为患者提供药物并获得完整的医疗保健,而没有任何人生病这种疾病。它针对两个人的幻灯片,是最严重的医疗状况和感染,以及房屋中最低的严重医疗状况。在医院观察最严重的医疗病例,这些病例会导致成千上万的医疗保健成员感染,因此需要使用它。该系统的其他不太认真的患者会滑动,使医生可以监测患者并从患者的房屋中获得医疗保健,以节省医院关键病例的位置。
Coronavirus becomes officially a global pandemic due to the speed spreading off in various countries. An increasing number of infected with this disease causes the Inability problem to fully care in hospitals and afflict many doctors and nurses inside the hospitals. This paper proposes a smart health system that monitors the patients holding the Coronavirus remotely. Due to protect the lives of the health services members (like physicians and nurses) from infection. This smart system observes the people with this disease based on putting many sensors to record many features of their patients in every second. These parameters include measuring the patient's temperature, respiratory rate, pulse rate, blood pressure, and time. The proposed system saves lives and improves making decisions in dangerous cases. It proposes using artificial intelligence and Internet-of-things to make remotely quarantine and develop decisions in various situations. It provides monitoring patients remotely and guarantees giving patients medicines and getting complete health care without anyone getting sick with this disease. It targets two people's slides the most serious medical conditions and infection and the lowest serious medical conditions in their houses. Observing in hospitals for the most serious medical cases that cause infection in thousands of healthcare members so there is a big need to uses it. Other less serious patients slide, this system enables physicians to monitor patients and get the healthcare from patient's houses to save places for the critical cases in hospitals.